skip to main content
10.1145/1179295.1179314acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
Article

Enhancing interface design using attentive interaction design toolkit

Published: 30 July 2006 Publication History

Abstract

This paper shows how a software toolkit enables graphic designers to make camera-based interactive environments in a short period of time without requiring experience in user interface design or machine vision. The Attentive Interaction Design Toolkit, a vision-based input toolkit, gives users an analysis of faces found in a given image stream, including facial expression, body motion, and attentive activities. This data is fed to a text file that can be easily understood by humans and programs alike. A four-day workshop demonstrated that some Flash-savvy architecture students could construct interactive spaces (e.g. Eat-Eat-Eat, TaiKer-KTV and ScreamMarket) based on a group of people's body and their head motions.

Supplementary Material

JPG File (a18-lee-high.jpg)
JPG File (a18-lee-low.jpg)
High Resolution (a18-lee-high.mov)
Low Resolution (a18-lee-low.mov)

References

[1]
Bonanni, L., Lee, C. H., Selker, T., Attention-Based Design of Augmented Reality Interfaces, Ext. Abstracts CHI 2005, ACM Press (2005).
[2]
Krueger, M., Gionfriddo, T., Hinrichsen, K., Videoplace- An Artificial Reality, Proceedings of CHI '85, pp.35- pp.40
[3]
Papert, S. 2000. What's the big idea: Towards a pedagogy of idea power. IBM Systems Journal, vol. 39, no. 3--4.
[4]
Pashler, H., The Psychology of Attention. Bradford Books. Reprint edition, 1999
[5]
Resnick, M., Rusk, N., and Cooke, S. 1998, The Computer Clubhouse: Technological Fluency in the Inner City. In High Technology and Low-Income Communities, pp. 266--286. Cambridge: MIT Press.
[6]
Selker, T., Visual Attentive Interfaces. In BT Technology Journal, Vol 22 No 4, October (2004), 146--150.
[7]
Weiland, W., Stokes, J., Ryder, J., Scaneval - A Toolkit for Eye-tracking Research and Attention-driven Applications, Human Factors and Ergonomics Society 1998.
[8]
WEB/SEEING Machines-faceLAB, http://www.seeingmachines.com/
[9]
WEB/OPENCV- Intel Open Source Computer Vision Library, http://www.intel.com/technology/computing/opencv/
[10]
WEB/ADOBE FLASH, http://www.macromedia.com/software/flash/flashpro/
[11]
WEB/INTERNATIONAL WORKSHOP ON ASIAN REALITY 2005, http://arch.thu.edu.tw/ar2005/wor_eng_theme.htm
[12]
WEB/LIBSVM, Support Vector Machines (SVMs), http://www.csie.ntu.edu.tw/~cjlin/libsvm

Cited By

View all
  • (2022)Automatic Face Mask Detection Using a Hide and Seek AlgorithmProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications10.1007/978-3-030-93420-0_40(430-439)Online publication date: 13-Jan-2022
  • (2011)Emotion-Oriented ComputingProceedings of the 2011 Fourth International Conference on Ubi-Media Computing10.1109/U-MEDIA.2011.16(130-133)Online publication date: 3-Jul-2011
  • (2008)Nightmarket workshopsCHI '08 Extended Abstracts on Human Factors in Computing Systems10.1145/1358628.1358721(2601-2604)Online publication date: 5-Apr-2008
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
SIGGRAPH '06: ACM SIGGRAPH 2006 Educators program
July 2006
246 pages
ISBN:1595933646
DOI:10.1145/1179295
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 July 2006

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. attentive interaction
  2. camera-based interaction
  3. design toolkit
  4. interactive spaces

Qualifiers

  • Article

Conference

SIGGRAPH06
Sponsor:

Acceptance Rates

Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)7
  • Downloads (Last 6 weeks)1
Reflects downloads up to 18 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2022)Automatic Face Mask Detection Using a Hide and Seek AlgorithmProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications10.1007/978-3-030-93420-0_40(430-439)Online publication date: 13-Jan-2022
  • (2011)Emotion-Oriented ComputingProceedings of the 2011 Fourth International Conference on Ubi-Media Computing10.1109/U-MEDIA.2011.16(130-133)Online publication date: 3-Jul-2011
  • (2008)Nightmarket workshopsCHI '08 Extended Abstracts on Human Factors in Computing Systems10.1145/1358628.1358721(2601-2604)Online publication date: 5-Apr-2008
  • (2007)Augmented reality visualization interface for biometric wireless sensor networksProceedings of the 9th international work conference on Artificial neural networks10.5555/1768409.1768558(1074-1081)Online publication date: 20-Jun-2007
  • (2007)Adaptive context aware attentive interaction in large tiled displayProceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction10.5555/1763296.1763411(1016-1025)Online publication date: 22-Jul-2007
  • (2007)Adaptive Context Aware Attentive Interaction in Large Tiled DisplayUniversal Access in Human-Computer Interaction. Ambient Interaction10.1007/978-3-540-73281-5_111(1016-1025)Online publication date: 2007

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media