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Max J. van Duijn
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2020 – today
- 2025
- [i6]Ramira van der Meulen, Rineke Verbrugge, Max J. van Duijn:
Towards properly implementing Theory of Mind in AI systems: An account of four misconceptions. CoRR abs/2503.16468 (2025) - [i5]Aske Plaat, Max J. van Duijn, Niki van Stein, Mike Preuss, Peter van der Putten, Kees Joost Batenburg:
Agentic Large Language Models, a survey. CoRR abs/2503.23037 (2025) - 2024
- [c11]Ramira van der Meulen, Rineke Verbrugge, Max J. van Duijn:
Common Ground Provides a Mental Shortcut in Agent-Agent Interaction. HHAI 2024: 281-290 - 2023
- [c10]Bram van Dijk
, Marco Spruit, Max J. van Duijn:
Theory of Mind in Freely-Told Children's Narratives: A Classification Approach. ACL (Findings) 2023: 12979-12993 - [c9]Bram van Dijk
, Max J. van Duijn, Suzan Verberne, Marco Spruit:
ChiSCor: A Corpus of Freely-Told Fantasy Stories by Dutch Children for Computational Linguistics and Cognitive Science. CoNLL 2023: 352-363 - [c8]Max J. van Duijn, Bram van Dijk
, Tom Kouwenhoven, Werner de Valk, Marco Spruit, Peter van der Putten:
Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests. CoNLL 2023: 389-402 - [c7]Bram van Dijk
, Tom Kouwenhoven, Marco Spruit, Max Johannes van Duijn:
Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding. EMNLP 2023: 12641-12654 - [i4]Bram M. A. van Dijk, Tom Kouwenhoven, Marco R. Spruit, Max J. van Duijn:
Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding. CoRR abs/2310.19671 (2023) - [i3]Max J. van Duijn, Bram M. A. van Dijk, Tom Kouwenhoven, Werner de Valk, Marco R. Spruit
, Peter van der Putten:
Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests. CoRR abs/2310.20320 (2023) - [i2]Bram M. A. van Dijk, Max J. van Duijn, Suzan Verberne, Marco R. Spruit:
ChiSCor: A Corpus of Freely Told Fantasy Stories by Dutch Children for Computational Linguistics and Cognitive Science. CoRR abs/2310.20328 (2023) - 2022
- [c6]Marcello A. Gómez Maureira
, Max J. van Duijn
, Carolien Rieffe
, Aske Plaat
:
Academic Games - Mapping the Use of Video Games in Research Contexts. FDG 2022: 4:1-4:10 - 2021
- [j2]Marcello A. Gómez Maureira
, Isabelle Kniestedt, Max J. van Duijn, Carolien Rieffe, Aske Plaat:
Level Design Patterns That Invoke Curiosity-Driven Exploration: An Empirical Study Across Multiple Conditions. Proc. ACM Hum. Comput. Interact. 5(CHI PLAY): 271:1-271:32 (2021) - [c5]Bram van Dijk, Max J. van Duijn:
Modelling Characters' Mental Depth in Stories Told by Children Aged 4-10. CogSci 2021 - 2020
- [j1]Maximilian Roele, Janelle Ward, Max J. van Duijn:
Tweet with a smile: The selection and use of emoji on Twitter in the Netherlands and England. First Monday 25(4) (2020) - [c4]Christina Mason, Peter van der Putten, Max J. van Duijn:
How Identity and Uncertainty Affect Online Social Influence - An Agent-Based Approach. MISDOOM 2020: 174-190 - [e1]Max J. van Duijn
, Mike Preuss
, Viktoria Spaiser
, Frank W. Takes
, Suzan Verberne
:
Disinformation in Open Online Media - Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26-27, 2020, Proceedings. Lecture Notes in Computer Science 12259, Springer 2020, ISBN 978-3-030-61840-7 [contents]
2010 – 2019
- 2019
- [c3]Marcello A. Gómez Maureira
, Isabelle Kniestedt, Max J. van Duijn, Carolien Rieffe, Aske Plaat
:
Shinobi Valley: Studying Curiosity For Virtual Spatial Exploration Through A Video Game. CHI PLAY (Companion) 2019: 421-428 - [i1]Petra Kubernátová, Magda Friedjungová, Max J. van Duijn:
Constructing a Data Visualization Recommender System. CoRR abs/1911.03871 (2019) - 2018
- [c2]Petra Kubernátová, Magda Friedjungová
, Max J. van Duijn:
Constructing a Data Visualization Recommender System. DATA (Revised Selected Papers) 2018: 1-25 - [c1]Petra Kubernátová, Magda Friedjungová
, Max J. van Duijn:
Knowledge at First Glance: A Model for a Data Visualization Recommender System Suited for Non-expert Users. DATA 2018: 208-219
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last updated on 2025-04-22 21:05 CEST by the dblp team
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