Robots in Tourism & Hospitality
Robots in Tourism & Hospitality
Abstract | This paper explores the current state and the potential adoption of service automation and
robots by tourist, travel and hospitality companies. Despite the huge advancements in social robotics,
the research on robots in tourism has been extremely limited – a gap that is partially filled by this paper.
Specifically the paper looks at service automation in hotels, restaurants, events, theme and amusement
parks, airports, car rental companies, travel agencies and tourist information centres, museums and
art galleries. The paper elaborates on the challenges that companies will face when adopting service
automation and robots to serve tourists.
experience (Perez, 2014). Other technologies that        letising, and other related tasks in manufacturing
may contribute to service automation include, but        and production (Colestock, 2005; Murphy et al.,
are not limited to 3D printing, self-driving cars,       2017; Pires, 2007). In contrast, service robots are
and robotic technologies.                                designed to support and service humans through
   Robots may be described as “intelligent phy-          physical and social interactions. Furthermore, ser-
sical devices” (Chen & Hu, 2013, p. 161) with            vice robots may be classified into professional ser-
a certain degree of autonomy, mobility, and sen-         vice robots (the ones employed by companies) and
sory capabilities that allow them to perform inten-      personal service robots (the ones used by indivi-
ded tasks (International Organization for Standar-       duals for non-commercial tasks). According to the
dization, 2012; Murphy et al., 2017; Tan, Mohan,         International Federation of Robotics, the use of in-
& Watanabe, 2016). The degree of autonomy in             dustrial and service robots continues to grow. For
this case refers to the robot’s ability to perform its   example, in 2015 the unit sales of industrial robots
tasks without a human intervention. Such auto-           increased by 15% (IFR, 2016a), and service robots
nomy may be influenced by the complexity of the          by 25% (IFR, 2016b) in comparison to 2014.
environment where a robot operates, as well as              As a services industry, the hospitality and tou-
by inherent characteristics of a robot, such as in-      rism field has attracted the use of professional ser-
telligence, mobility, and sensory abilities. Sensors     vice robots. Therefore, this paper proceeds with
are the built-in devices that allow a robot to learn     further consideration of professional service robots
about its environment and interact with it. The          and their applications in different segments of the
key tasks of a robot usually determine the need          hospitality and tourism industry.
for certain sensors. Such sensors often resemble
human’s senses and may include light sensors (vi-
sion), pressure sensors (touch), taste, and hearing
sensors (Ruocco, 2013).                                  3. Adoption of robots and service automation
   Based on the intended application, all robots         by travel, tourism and hospitality companies
may be grouped into two major categories: indus-         – current use and potential opportunities
trial robots and service robots (International Or-
ganization for Standardization, 2012). As indica-           Tables 1 presents some main examples of ser-
ted by the name, industrial robots are used for          vice automation and robot adoption in travel, tou-
performing industrial tasks, such as welding, pal-       rism and hospitality companies which are further
                                                         elaborated in the text.
1504   |   RT&D | n.o 27/28 | 2017 | IVANOV et al.
             Table 1 | Main examples of service automation and robot adoption in travel, tourism and hospitality companies
                                                                              RT&D | n.o 27/28 | 2017   |   1505
tants, vacuum cleaners, and a robotic arm ope-                    2016). Connie can communicate with hotel guests
rating the luggage storage room. In 2014 Aloft                    answering their questions about hotel amenities
Hotels started testing a robotic delivery robot de-               and services and providing suggestions for nearby
veloped by Savioke (see Figure 1) (Markoff, 2014).                attractions and activities. Also, due to the ar-
This robot can navigate the hotel, use the eleva-                 tificial intelligence supporting Connie, this robot
tor, and call the guest room to deliver requested                 can learn from every interaction with guests, and,
items to the customer’s door step. In 2016 Hil-                   therefore, improve its future answers.
ton hotels launched a robotic concierge “Connie”
that is powered by artificial intelligence (Hilton,
Figure 1 | Hotel delivery robot by Savioke (photo taken at HITEC2015, Austin, Texas, USA)
   Even though automation and robotic techno-                     technology, robots may wow hotel guests and sti-
logies have already reached different hotel depart-               mulate customer delight.
ments, adoption of this technologies is still low.
Therefore, in the future the lodging industry may
observe higher penetration of such technologies.                  3.2. Restaurants
Additionally, other robot types may enter this in-
dustry segment, such as robots washing and fol-                        The restaurant industry has automated both
ding laundry. Industry examples, such as hotel                    the food service and food preparation stages.
Hann-na, offer a prototype for full service automa-               Automated table-side ordering has been integra-
tion. Service automation through self-service and                 ted in different restaurants, such as, AppleBee’s,
robotic technologies offers opportunities for redu-               Chili’s, Olive Garden, and Outback Steakhouse
ced labor costs, and increased efficiency of hotel                (Hill, 2015). Table-side ordering was made possi-
operations. Moreover, as a rare and innovative                    ble by using tablet technology (see Figure 2) (Hill,
                                                                                     RT&D | n.o 27/28 | 2017   |   1507
2015) and touch-screen tables, such as Microsoft              example, Pizza Hut has recruited humanoid robot
PixelSense (Aamoth, 2014). These technologies                 Pepper to take customer orders in a conversational
may allow customers to browse the menu, see de-               manner. Pepper uses voice recognition and artifi-
tailed description and pictures of each menu item,            cial intelligence to communicate with customers.
place an order, play games while waiting for the              It is also equipped with a special app developed
order to be cooked, and pay the bill at the end               by Pizza Hut and MasterCard that allows Pepper
of the dining experience. Additionally, restaurant            not only to create orders and send them to the
orders may be taken by robots (Curtis, 2016). For             restaurant kitchen, but also to accept payments.
Figure 2 | Automated menu ordering (Olive Garden Restaurant, Kissimmee, Florida, USA)
   Restaurants have also adopted automated food               the order is passed to the kitchen, and once re-
delivery methods that include conveyor restaurants            ady food containers slide down the tracks right
(Ngai, Suk, & Lo, 2008) and roller-coaster restau-            to the customer’s table. The restaurant industry
rants (Blinder, 2014). Conveyor restaurants uti-              has already witnessed some examples of complete
lize food delivery systems that may be based on a             front-of-the-house automation (Peterson, 2016).
mechanical conveyor belt (see Figure 3), a water-             A quinoa-themed “Eatsa” restaurant eliminated
based system, or magnetic movement to bring                   human waiters and cashiers, and provided custo-
dishes to customer tables. Roller-coaster restau-             mers with tablets to place their orders and submit
rants received their name for a unique mechanism              payments. Once ready, the order appears in the
of food delivery to the dining tables that looks like         glass cubby with the customer’s name on it.
roller-coaster tracks. The restaurant uses an auto-
mated process of food ordering on a touch screen,
1508   |   RT&D | n.o 27/28 | 2017 | IVANOV et al.
   Automation has touched not only the food deli-                 the meals will be cooked by robotic chefs, and
very process, but the cooking process as well. The                delivered to customers using automation techno-
development of 3D printing technology gave birth                  logies (e.g., conveyors, roller-coasters, or other
to 3D printing of food (Prisco, 2014). 3D prin-                   methods). However, restaurants that are not re-
ters produce edible dishes from food “ink” cartrid-               ady for complete automation may find benefits in
ges that contain mashed ingredients. Such prin-                   using technology in certain areas, such as taking
ters apply thin layers of pureed ingredients to build             orders, assisting with cooking, washing dishes, or
dishes programmed in a digital model. This tech-                  accepting payments.
nology allows not only to create intricate designs,
but also to customize nutritional value of meals ba-
sed on the needs of the consumer (Botero-Murphy,                  3.3. Theme and amusement parks
2016). Beyond 3D printing some dishes are now
cooked by robots. For example, robot chefs can                         There is substantial automation in theme and
prepare sushi (Sushirobo, 2016), noodles (Elkins,                 amusement parks and has been such automation
2015), sausage (Filloon, 2016), burgers (Momen-                   for quite some time. Since much of what is offered
tum Machines, 2016), mixed drinks (Sloan, 2014),                  at theme and amusement parks is not so distinct
and coffee (Fowler, 2017).                                        from other hospitality-related industries, much of
   Available technologies provide numerous op-                    the automation in related industries has already
portunities for full service automation. System ad-               taken place. As with much of travel and tourism,
vancement and integration may lead to the cre-                    tickets can be purchased either on line or with the
ation of fully automated restaurants, similar to a                help of kiosks set up in major parks. Figure 4 below
fully automated hotel Henn-na. Complete auto-                     illustrates automation of tickets at Walt Disney’s
mation of a restaurant may include front-of-the-                  park in Orlando, Florida. This form of automation
house and back-of-the-house automation, where                     is similar to the form of automation that is seen
customers will be able to place orders through                    in bus and rail stations. However, there are other
self-service technologies or with a robot server,                 forms of robotic usage also used in such destinati-
                                                                  ons.
                                                                                      RT&D | n.o 27/28 | 2017   |   1509
Figure 4 | Automated ticket counter (Walt Disney Parks, Orlando, Florida, USA)
   While robots have been used for some time in              aquarium featuring robotic replications of jellyfish,
entertainment, there are improvements and more               fish, and lobster. There are other features at the
interactive robots that either are being developed           planned theme park, including exhibitions showing
or have been developed. For those of us who visi-            how robots will be utilized in service to humans
ted Walt Disney’s Park in Orlando, Florida during            and industry. Not to be outdone, another theme
the 1970’s, there was an attraction, the Hall of             park Huis Ten Bosch is open in Japan in which
Presidents in which visitors were treated to very            service robots are used extensively, although the
clunky looking machines that were reasonable pro-            theme of the park has nothing to do with robots
xies for former US presidents. The show has been             (Huffington Post, 2016). However, visitors likely
a major part of the attractions since 1971 (Blitz,           find it amusing that all the cooking and serving in
2016). This type of entertainment was and still is           the restaurants will be done by robots, as are many
part of standard fare for theme/amusement parks.             of the other service jobs. Since opening with a hu-
Indeed, Disney continues to invest in and develop            man workforce of 30, robots have been so effective
robots (Hackett, 2015). But it would seem than               that more than half of the human jobs have been
much of the entertainment could be done cheaper              eliminated (Niinuma, 2016).
and easier with holograms.
   However, the more advanced robotic technolo-
gies promise much more interactive and interesting           3.4. Meetings and events
entertainment opportunities. In Asia, in recent ye-
ars, two major theme parks have been planned that
                                                                 The meetings and events industry has adopted
will utilize a great deal of robot technologies. Ro-
                                                             much of what hotels and restaurants have institu-
bot Land has been planned in South Korea and
                                                             ted, automating a great deal of services, since food
its set to make the robot the centrepiece of its
                                                             service and customer service are intricately linked
theme (Huffington Post, 2014). The theme park
                                                             also with the meetings and events industry. For
was planned to open in 2016, but despite that, the
                                                             example, kiosks and information booths of various
intention is to have some critical elements that
                                                             types are already in use in the event industry and
will make robots a central figure in the entertain-
                                                             apps are widely used to bolster traditional signage
ment provided, including a completely robotic fish
                                                             used at major events. However, there are several
1510   |   RT&D | n.o 27/28 | 2017 | IVANOV et al.
service applications that technologies are assisting     tation costs, mobile telepresence will likely be a
in becoming easier and more practical. For exam-         future way in which people can attend meetings
ple, over 150 guests at the OppiKoppi music fes-         and events. The idea is that people will be able to
tival in South Africa received cold beer via drone       use robots as a physical presence at meetings and
(Daily News 2013), giving the recipients the conve-      events. MantaroBots created the TeleMe using an
nience of delivery while cutting down on the labor       Apple device or Android tablet attached to a mo-
cost of delivery. But this is just the delivery end of   bile base and Anybots’ QB robot has a camera,
what is another aspect of the automation of such         screen, and is mobile (Sorrells, 2013). This tech-
as baristas and bartending, as the Makr Shakr il-        nology is probably the most revolutionary for the
lustrates as a bartending robot (Mack, 2013).            industry, as it may mean that many future mee-
   Ford Motor Company has used Hank, a remote            tings and events are remote, hence people will have
controlled robot to entertain people at trade shows      interactive experiences while not being physically
(Sorrells, 2013). While the movements and lan-           present at the event.
guage of the robot are remotely controlled by a
human, it is an amusement that aids Ford in at-
tracting and entertaining people at trade shows. It      3.5. Airports
may not take long before a more interactive and
intelligent machine is designed to interact and en-         Automation plays an important role in airports’
tertain participants at events and meetings.             efforts to ease traveller experience, speed up ser-
   There is also a movement towards more inte-           vice, increase efficiency, and ensure security. Air-
ractive technologies in which holograms of service       ports integrated self-service check-in kiosks that
providers will lure people to booths. “Jenny,” a         allow customers to check in for a flight and print
3M hologram was used at Southwest Interactive            their boarding passes (Future Travel Experience,
to sense when people were passing, luring them to        2013) and check in luggage (Nicas & Michaels,
the booth and pointing them to an IPad displayed         2012) without employee assistance. The luggage
in front of her (Briodagh 2013). While it was not        would then travel on automated conveyor belts to
a full interactive booth attendant, it did fool many     reach the sorting facility and the right plane (Du-
in attendance that it was a real human. Such a           ell, 2014). Moreover, travellers are also able to
presence is a likely harbinger to a fully interactive    use a mobile boarding pass on their smart phone
hologram that will be able to supply information         devices for their journey through the airport, and
via oral communication and not merely be able to         also board the plane via self-service gates (Nicas
lure people to a particular booth and offer infor-       & Michaels, 2012).
mation via an IPad.                                         As in many other sectors, robots are being em-
   Another critical interactive and revolutionary        ployed in airports around the world. A bag-drop
technology is the advent of mobile telepresence.         robot has been tested in Geneva international air-
While telepresence at events and meetings has            port (Future Travel Experience, 2016a). This ro-
been available for some time, since telephones have      bot meets customers outside of the airport, scans
enabled those who are far away to participate,           the boarding pass, prints out luggage tags, and
there has been a rapid advancement in terms of           stores the luggage in a special compartment. The
allowing people to attend meetings and have more         robot can take up to two suitcases and deliver them
interactive experiences because of the evolution of      to the luggage area inside of the airport, there-
technologies. While Skype and online meetings            fore, allowing the traveler to avoid lines and pro-
have enabled meetings to avoid many transpor-            ceed directly to the security area. Airports have
                                                                              RT&D | n.o 27/28 | 2017   |   1511
also recruited customer service robots that can          for lower insurance fees, which will decrease car
answer traveler questions, make announcements,           rental companies’ costs and improve their profita-
guide passengers to their gates (Future Travel Ex-       bility. Moreover, car rental companies would serve
perience, 2016b; Lee, 2017), and even entertain          as catalysts for the massive adoption of self-driving
travelers by signing songs and taking pictures with      cars. Considering the massive fleets that car rental
them (Owen, 2016). Robots may also be found in           companies boast, switching to self-driving cars will
airports performing cleaning tasks (Lee, 2017) and       mean huge investments but will create the market
running delivery errands (Szondy, 2017). With all        for the technology and allow economies of scale
areas of airport operations being affected by auto-      to be realised by the car manufacturers, leading to
mation and robotic technologies, potentially future      lower prices for self-driving cars and their further
airports may be entirely automated allowing cus-         adoption by car rental companies and other busi-
tomers to go through the entire airport experience       ness and final customers.
without interacting with human employees.
   Service automation in car rental companies is            Travel agencies and tourist information centres
currently quite limited. Customers of Zipcar, for        have quite limited opportunities for the adoption
example, (un)lock the car with a card or app             of self-service / service automation technologies
(http://www.zipcar.com/how). Robots have not             and robotics in their offices compared to other
been adopted yet, but the first self-driving cars        tourist companies. Currently, they have adop-
have already hit the streets and are expected to         ted kiosks and displays that provide information
become ‘the new normal’ on the car market in             about destinations, tourist resources, tour packa-
the next 5-10 years. Therefore, it is reasonable         ges and offers. However, the internet limits the
to expect that robots will be used by car rental         necessity for investment in offline self-service te-
companies in the form of self-driving cars (see also     chnologies by travel agencies and tourist informa-
Tussyadiah, Zach, & Wang (2017) for a discussion         tion centres because customers can always check
on self-driving taxis). The self-driving cars will       their websites and book online. Therefore, service
have three major advantages for car rental com-          automation technologies have mostly supporting
panies over traditional vehicles. First, self-driving    rather than primary role in the operations of tra-
cars eliminate the need of a driving licence for the     vel agencies and tourist information centres. On
customer. Hence, the potential car rental market         the other hand, robots could be adopted as sa-
can expand to include also people without a driving      les agents and robot guides.      Currently, robots
licence. Second, using a self-driving car does not       are not used in travel agencies, while audio gui-
depend on the current physical and mental state of       des with recorded commentary have been used for
the driver. Thus, a self-driving car can be used by      decades during sightseeing tours. However, au-
people who have consumed certain amounts of al-          dio guides provide unidirectional communication
cohol, something that is not allowed by the traffic      and no interactivity, while robot guides could be
regulations in most countries in the world. Third,       able to provide more detailed information and pro-
in relation to the second advantage, if the proba-       vide bidirectional communication with the tourist.
bility of accidents of self-driving cars is lower com-   Furthermore, it is possible that the digital assis-
pared to traditional cars, this would be a ground        tant of a customer (e.g. Alexa) is connected to a
1512   |   RT&D | n.o 27/28 | 2017 | IVANOV et al.
website of a travel agency and help the customer           about the exhibits or the premises), while an out-
with destination recommendation, itinerary plan-           door robot would need to deal with more diverse
ning, booking of flights, accommodation and other          human-robot interactions. Third, the indoor robot
tourist services, keep track of customer’s calen-          is protected from the influences of weather, unlike
dar and remind/inform about key events/activities          its outdoor counterpart. Therefore, although the
(e.g. (changes in) flight schedules, travel tips, visa     robot guides in museums/ galleries and robot gui-
regulations, etc.). In this way, the robot is located      des on tours might be technically identical, we ex-
in the home of a customer rather than in an office         pect that they would be adopted much earlier in
of a travel agency, but nonetheless it will help the       museums/galleries, rather than as guides on tours.
agency sell its products.                                  Considering the large physical space museums and
                                                           galleries have, means that they could use robots
                                                           for cleaning the floors, which is not economically
3.8. Museums and art galleries                             feasible for travel agencies and tourist information
                                                           centres due to their much smaller offices.
   Similar to tourist information centres, mu-
seums and galleries have long adopted kiosks,
displays and audio guides to provide information
about the exhibits (Lee, 2016). Mobile apps and            4. Conclusions
QR codes also make their way into the museums
and galleries, allowing the visitors to receive the           This paper evaluated the current and poten-
information about the exhibits on their smart pho-         tial adoption of service automation and robots by
nes, while augmented reality through smart glasses         travel, tourism and hospitality companies. While
provide unique visitor experience (tom Dieck, Jung         some of the ideas for possible application of ro-
& Han, 2016). Although robots have been recently           bots discussed in the paper may not materialise in
used as guides in Tokyo science museum (Deme-              the next 5-10 years, the advances in robotics and
triou, (2014) and in a laboratory (Boboc, Horaţiu          artificial intelligence, increased robot capabilities
& Talabă, 2014), they are far away from regular            coupled with decreased purchase and maintenance
adoption in museums and galleries. They can be             costs will make robots a viable alternative to hu-
used in a museum/gallery to provide information            man employees in travel, tourism and hospitality
about the exhibits, answering questions, directing         companies. Of course, not all service processes
visitors to the exhibition halls, toilets or other areas   can and have to be automated or performed by
of the museum/gallery. From a technical point of           robots – at the end of the day it is the economic
view, a robot guide in a museum/gallery would be           efficiency, customer experience, company’s com-
easier to develop compared to an outdoor robot             petitiveness and other factors that will determine
guide on tours, because of their different usage           whether to automate and robotise the service de-
settings. First, a robot guide in a museum has             livery process.
confined space for movement which can be easily               One consideration that should be taken is the
mapped in its entirety to facilitate robot movement        value of the first mover advantage in the develop-
within the building, while this is not the case for        ment of robotic technologies. Although the no-
outdoor robot guides on tours. Second, a robot             velty of using new robotic technologies may at-
guide in a museum/gallery faces relatively limited         tract a great deal of attention and consumers, it
number of human-robot interaction situations (ne-          is the successive waves of robotic innovations that
arly exclusively related to provision of information       will make robotic interactions more pleasant and
                                                                                     RT&D | n.o 27/28 | 2017     |   1513
efficient. It will be wise for those who invest in             themed restaurant opens in Abu Dhabi.             Daily
robots to consider the costs and benefits that IBM             News.        Retrieved on February 4, 2017 from
                                                               http://www.nydailynews.com/life-style/world-largest-
had in developing the desktop computer and Mo-
                                                               roller-coaster-restaurant-opens-article-1.2029683
torola had in developing the mobile phone. This is
suggestive that the companies that innovate early            Blitz, M. (2016).     "The Robot Presidents Who
                                                               Rule Disney World".    Popular Mechanics.   Re-
may not be the ones that dominate the production
                                                               trieved on February 14, 2017 from http://www.
of robotic technologies in the intermediate future.            popularmechanics.com/technology/robots/a23699/
There is also a major question of how human fu-                robot-presidents-disney/
ture robotic technologies will look. While humans
                                                             Boboc, R. G., Horaţiu, M., & Talabă, D. (2014). An
may prefer a waiter that looks like a machine, the
                                                               Educational Humanoid Laboratory Tour Guide Robot.
same may not be true for a massage therapist.                  Procedia-Social and Behavioral Sciences, 141, 424-430.
    Research in service robots and service automa-
                                                             Borràs, J., Moreno, A., & Valls, A. (2014). Intelligent tou-
tion in tourism is yet to take off. Future research
                                                               rism recommender systems: A survey. Expert Systems
needs to investigate the economic fundamentals of              with Applications, 41 (16), 7370–7389.
service automation and adoption of robots by tou-
rist companies; shed light on companies’ readiness           Botero-Murphy,     B. (2016).           Can 3D prin-
                                                               ting help us to eat healthier?            Chicago Tri-
and the factors that influence the decision to subs-
                                                               bune.      Retrieved on February 4, 2017 from
titute human employees with machines; evaluate                 http://www.chicagotribune.com/bluesky/hub/ct-us-
customers’, employees’ and managers’ perception                chamber-3d-printing-healthier-eating-bsi-hub-20160128-
                                                               story.html
of service robots; assess the impact of robots, arti-
ficial intelligence and service automation on service        Briodagh, K. (2013) 3M posts its technical chops
quality, companies’ competitiveness and financial              in interactive lounge at SXSW. Event Mar-
performance; delve into the ethical issues of the              keter.      Retrieved February 15,      2017 from
                                                               http://www.eventmarketer.com/article/sxsw-3m/
use of robots, artificial intelligence and service au-
tomation in travel, tourism and hospitality. Robots          Chen, Y., & Hu, H. (2013). Internet of intelligent things
have arrived and are here to stay, but humans have             and robot as a service. Simulation Modelling Practice
                                                               and Theory, 34, 159-171.
the ability to envision and shape the ways that ro-
bots will be utilized in the near future.                    Citycenter Land, LLC. (2017).          Mobile check-
                                                               in.      Retrieved on February 3, 2017 from
                                                               https://www.aria.com/en/hotel/mobile-check-in.html
Referências bibliográficas
                                                             Colestock, H. (2005) Industrial robotics: selection, design,
Aamoth, D. (2014). Pizza Hut eyes fancy touchscreen            and maintenance. New York: McGraw-Hill.
  pizza-ordering tables. Time. Retrieved on February
  3, 2017 from http://time.com/12300/pizza-hut-eyes-         Collier, D. A. (1983). The service sector revolution: The
  fancy-touchscreen-pizza-ordering-tables/                     automation of services. Long Range Planning, 16 (6),
                                                               10-20.
Barakova, E. I., Bajracharya, P., Willemsen, M., Lourens,
  T., & Huskens, B. (2015). Long-term LEGO therapy
                                                             Crootof, R. (2015). War, Responsibility, and Killer Robots.
  with humanoid robot for children with ASD. Expert Sys-
                                                               North Carolina Journal of International Law and Com-
  tems, 32 (6), 698-709.
                                                               mercial Regulation, 40 (4), 909-932.
Berezina, K. (2015).  Mobility Convergence.   Hotel
                                                             Curtis, S. (2016).     Pizza Hut hires ROBOT waiters
  Business Review.   Retrieved on February 3, 2017
                                                               to take orders and process payments at its fast-
  from http://hotelexecutive.com/business_review/
                                                               food restaurants.     Mirror.  Retrieved on February
  4178/mobility-convergence
                                                               4, 2017 from http://www.mirror.co.uk/tech/pizza-hut-
Blinder, R. (2014).      ’World’s largest’ roller-coaster-     hires-robot-waiters-8045172
1514   |   RT&D | n.o 27/28 | 2017 | IVANOV et al.
International Federation of Robotics (IFR) (2016a). World     López, J., Pérez, D., Zalama, E., & Gómez-García-Bermejo,
   Robotics Industrial Robots. Executive summary. Re-           J. (2013). Bellbot-a hotel assistant system using mobile
   trieved on February 11, 2017 from http://www.                robots. International Journal of Advanced Robotic Sys-
   ifr.org/fileadmin/user_upload/downloads/World_               tems, 10 (1), 40.
   Robotics/2016/Executive_Summary_WR_Industrial_
                                                              Louie, W.-Y. G., McCaoll, D., & Nejat, G. (2014). Accep-
   Robots_2016.pdf
                                                                tance and attitudes toward a human-like socially assistive
                                                                robot by older adults. Assistive Technology, 26 (3), 140-
International Federation of Robotics (IFR) (2016b).
                                                                150.
   World Robotics Service Robots.    Executive sum-
   mary. Retrieved on February 11, 2017 from http:            Mack, E. (2013) App-controlled robot bartender de-
   //www.ifr.org/fileadmin/user_upload/downloads/              buts at Google I/O. C/Net. Retrieved February 15,
   World_Robotics/2016/Executive_Summary_Service_              2017 from https://www.cnet.com/news/app-controlled-
   Robots_2016.pdf                                             robot-bartender-debuts-at-google-io/
International Organization for Standardization. (2012).       Markoff, J. (2014). ‘Beep,’ says the bellhop. The New
   ISO 8373:2012(en) Robots and robotic devices – Vo-          York Times.      Retrieved on February 3, 2017 from
   cabulary.   Retrieved on February 2nd, 2017 from            https://www.nytimes.com/2014/08/12/technology/
   https://www.iso.org/obp/ui/#iso:std:iso:8373:               hotel-to-begin-testing-botlr-a-robotic-bellhop.
   ed-2:v1:en:term:2.2                                         html?_r=0
Kim, M., & Qu, H. (2014). Travelers’ behavioral inten-        Maurer, M., Gerdes, J. C., Lenz, B. & Winner, H. (Eds.)
  tion toward hotel self-service kiosks usage. Internatio-     (2016) Autonomous driving: technical, legal and social
  nal Journal of Contemporary Hospitality Management,          aspects. Berlin, Heidelberg: Springer Open.
  26 (2), 225-245.
                                                              MGM Resorts International.    (2017).   Mobile check-
                                                               in. Retrieved on February 3, 2017 from https://www.
Law, R., Buhalis, D., & Cobanoglu, C. (2014). Progress on
                                                               bellagio.com/en/hotel/checkin.html
  information and communication technologies in hospita-
  lity and tourism. International Journal of Contemporary     Min, H. (2010). Artificial intelligence in supply chain mana-
  Hospitality Management, 26 (5), 727-750.                      gement: theory and applications. International Journal
                                                                of Logistics Research and Applications, 13 (1), 13-39.
Lee, N. (2017).   LG made a couple of robots just
  for airports. Engaget.  Retrieved on February 4,            Mirheydar, H. S., & Parsons, J. K. (2013). Diffusion of
  2017 from https://www.engadget.com/2017/01/05/                robotics into clinical practice in the United States: pro-
  lg-made-a-couple-of-robots-just-for-airports/                 cess, patient safety, learning curves, and the public he-
                                                                alth. World Journal of Urology, 31 (3), 455-461.
Lee, S. J. (2016). A review of audio guides in the era of
                                                              Momentum    Machines.       (2016).                    About
  smart tourism. Information Systems Frontiers (in press).
                                                               Us.     Retrieved on December 30,              2016    from
  DOI: 10.1007/s10796-016-9666-6
                                                               http://momentummachines.com/
Lodging Magazine (2016). Aloft Hotels Unveils Voice-          Murphy, J., Hofacker, C., & Gretzel, U. (2017). Dawning
  Activated Hotel Rooms.           Retrieved on February       of the Age of Robots in Hospitality and Tourism: Chal-
  2, 2017 from http://lodgingmagazine.com/aloft-hotels-        lenges for Teaching and Research. European Journal of
  unveils-voice-activated-hotel-rooms/                         Tourism Research, 15, 104-111.
1516   |   RT&D | n.o 27/28 | 2017 | IVANOV et al.
Neapolitan, R. E., & Jiang, X. (2013). Contemporary arti-     Rodriguez-Lizundia, E., Marcos, S., Zalama, E., Gómez-
  ficial intelligence. Boca Raton, FL: CRC Press.               García-Bermejo, J., & Gordaliza, A. (2015). A bellboy
                                                                robot: Study of the effects of robot behaviour on user en-
Ngai, E. W. T., Suk, F. F. C.,& Lo, S. Y. Y. (2008). De-        gagement and comfort. International Journal of Human-
  velopment of an RFID-based sushi management system:           Computer Studies, 82, 83-95.
  The case of a conveyor-belt sushi restaurant. Internatio-
  nal Journal of Production Economics, 112 (2), 630-645.      Ruocco, S. (2013). Robot sensors and transducers. Sprin-
                                                                ger Science & Business Media.
Nicas,    J.,    & Michaels,   D. (2012).       The
                                                              Russell, S., & Norvig, P. (2010). Artificial intelligence: a
  self-service airport.      The Wall Street Jour-
                                                                modern approach (3rd ed). Upper Saddle River: Pearson
  nal.        Retrieved on February 4, 2017 from
                                                                Prentice Hall.
  https://www.wsj.com/articles/SB100008723963904435
  45504577567501420272414                                     Samani, H. (Ed.) (2016). Cognitive robotics. Boca Raton,
                                                                FL: CRC Press.
Niinuma, O. (2016).       Theme park’s ’robot kingdom’
  seeks to upend Japan’s service industry.        Nikkei      Sloan, G. (2014). Robot bartenders? This new cruise ship
  Asia Review.       Retrieved February 15, 2017 from           has them. USA Today. Retrieved on February 4, 2017
  http://asia.nikkei.com/Tech-Science/Tech/Theme-               from     http://www.usatoday.com/story/cruiselog/
  park-s-robot-kingdom-seeks-to-upend-Japan-s-service-          2014/11/01/quantum-robot-bar-cruise/18308319/
  industry.
                                                              Sorrells, M. (2013).   5 Ways Robots Are Being
Owen, E. (2016).        Glasgow Airport Has a Ro-               Used at Events.       BizBash.     Retrieved Fe-
 bot That Sings Christmas Carols to Travelers.                  bruary   15,   2017  from    http://www.bizbash.
 Travel + Leisure.          Retrieved on February 4,            com/5-ways-robots-are-being-used-at-events/
 2017 from http://www.travelandleisure.com/airlines-            new-york/story/27017#.WKYjUzsrKUk
 airports/gladys-robot-galsgow-airport                        Sparrow, R. (2007). Killer robots. Journal of Applied Phi-
                                                                losophy, 24 (1), 62-77.
Perez, S. (2014). NoWait, The App That Lets You
  Join A Restaurant Wait List From Your Phone,                Sushirobo. (2016). Sushi machines. Retrieved on De-
  Goes Nationwide.       Retrieved on February 3, 2017          cember 30, 2016 from http://www.sushirobo.com/
  from https://techcrunch.com/2014/01/30/nowait-the-            #machines
  app-that-lets-you-join-a-restaurant-wait-list-from-your-
  phone-goes-nationwide/                                      Szondy, D. (2017). Panasonic robots take temp jobs at
                                                                airport and hotel. New Atlas. Retrieved on February 4,
Peterson, H. (2016).        This is the first fast-food         2017 from http://newatlas.com/panasonic-hospir-robot-
  chain in America that requires zero human interac-            hotel-airport/47390/
  tion.   Business Insider.   Retrieved on February 4,
                                                              Tan, N., Mohan, R. E., & Watanabe, A. (2016). Toward a
  2017 from http://www.businessinsider.com/eatsa-fully-
                                                                framework for robot-inclusive environments. Automation
  automated-restaurant-chain-2016-2
                                                                in Construction, 69, 68-78.
Pires, J. N. (2007). Industrial Robots Programming: Buil-     Timms, M.J. (2016). Letting Artificial Intelligence in Edu-
  ding Applications for the Factories of the Future. New        cation out of the Box: Educational Cobots and Smart
  York: Springer US.                                            Classrooms. International Journal of Artificial Intelli-
                                                                gence in Education, 26 (2), 701-712.
Prisco, J. (2014). ’Foodini’ machine lets you print edible
  burgers, pizza, chocolate. CNN. Retrieved on February       tom Dieck, M. C., Jung, T., & Han, D.-I. (2016). Mapping
  4, 2017 from http://www.cnn.com/2014/11/06/tech/              requirements for the wearable smart glasses augmented
  innovation/foodini-machine-print-food/                        reality museum application. Journal of Hospitality and
                                                                Tourism Technology, 7 (3), 230-253.
Rajesh, M. (2015). Inside Japan’s first robot-staffed ho-
  tel. The Guardian. Retrieved on February 3, 2017            Trejos, N. (2015).       Marriott to hotel guests:
  from   https://www.theguardian.com/travel/2015/               We’re app your service.       USA Today.     Re-
  aug/14/japan-henn-na-hotel-staffed-by-robots                  trieved  February  11,     2017   from   http://
                                                                www.usatoday.com/story/travel/2015/05/13/
Ritzer, G. (2015). Hospitality and presumption. Research        marriott-hotels-mobile-requests-two-way-chat/
  in Hospitality Management, 5 (1), 9–17.                       27255025/
                                                                                     RT&D | n.o 27/28 | 2017    |   1517
Tussyadiah, I. P., Zach, F. K. & Wang, J. (2017). Attitudes     cations of the ACM, 45 (3), 59-63.
  Toward Autonomous on Demand Mobility System: The
  Case of Self-Driving Taxi. In Schegg, R. & Strangl, B.      Warwick, K. (2012).   Artificial intelligence: The basics.
  (Eds.) Information and Communication Technologies in         Oxon: Routledge.
  Tourism 2017. Proceedings of the International Confe-
                                                              Yamazaki, K., Ueda, R., Nozawa, S., Kojima, M., Okada,
  rence in Rome, Italy, January 24–26, 2017, pp. 755-766.
                                                                K., Matsumoto, K., Ishikawa, M., Shimoyama, I., &
                                                                Inaba, M. (2012). Home-assistant robot for an aging
Veloso, M. M. (2002). Entertainment robotics. Communi-          society. Proceedings of the IEEE, 100(8), 2429-2441.