poster

Recognition of curiosity using eye movement analysis

Authors:

Sabrina Hoppe,

Tobias Loetscher,

Stephanie Morey,

Andreas BullingAuthors Info & Claims

UbiComp/ISWC'15 Adjunct: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers

Pages 185 - 188

https://doi.org/10.1145/2800835.2800910

Published: 07 September 2015 Publication History

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Abstract

Among the different personality traits that guide our behaviour, curiosity is particularly interesting for context-aware assistive systems as it is closely linked to our well-being and the way we learn. This work proposes eye movement analysis for automatic recognition of different levels of curiosity. We present a 26-participant gaze dataset recorded during a real-world shopping task with empirically validated curiosity questionnaires as ground truth. Using a support vector machine classiffer and a leave-one-person-out evaluation scheme we can discriminate between two to four classes of standard curiosity scales well above chance. These results are promising and point towards a new class of context-aware systems that take the user's curiosity into account, thereby enabling new types of interaction and user adaptation.

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Cited By

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Wyche NEdwards MGoodhew S(2024)Openness to experience predicts eye movement behavior during scene viewingAttention, Perception, & Psychophysics10.3758/s13414-024-02937-z86:7(2386-2411)Online publication date: 12-Aug-2024
https://doi.org/10.3758/s13414-024-02937-z
Bardach LSchumacher ATrautwein UKasneci ETibus MWortha FGerjets PAppel T(2024)Taking another look at intelligence and personality using an eye-tracking approachnpj Science of Learning10.1038/s41539-024-00252-89:1Online publication date: 1-Jul-2024
https://doi.org/10.1038/s41539-024-00252-8
Lee SKim HYi THyun K(2023)BIGazeAdvanced Engineering Informatics10.1016/j.aei.2023.10215958:COnline publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1016/j.aei.2023.102159
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Index Terms

Recognition of curiosity using eye movement analysis
1. Computing methodologies
  1. Artificial intelligence
    1. Philosophical/theoretical foundations of artificial intelligence
      1. Cognitive science
  2. Machine learning
2. Human-centered computing
  1. Human computer interaction (HCI)

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Information & Contributors

Information

Published In

September 2015

1626 pages

ISBN:9781450335751

DOI:10.1145/2800835

General Chairs:
Kenji Mase
Nagoya University, JP
,
Marc Langheinrich
Università della Svizzera italiana (USI), CH
,
Daniel Gatica-Perez
IDIAP-EPFL, CH
,
Program Chairs:
Hans Gellersen
Lancaster University, UK
,
Tanzeem Choudhury
Cornell University
,
Koji Yatani
Univerisity of Tokyo, JP

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2015

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Qualifiers

Poster

Funding Sources

Conference

UbiComp '15

Sponsor:

Yahoo! Japan
SIGMOBILE
FX Palo Alto Laboratory, Inc.
ACM
Rakuten Institute of Technology
Microsoft
Bell Labs
SIGCHI
Panasonic
Telefónica
ISTC-PC

UbiComp '15: The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 7 - 11, 2015

Osaka, Japan

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

View all

Wyche NEdwards MGoodhew S(2024)Openness to experience predicts eye movement behavior during scene viewingAttention, Perception, & Psychophysics10.3758/s13414-024-02937-z86:7(2386-2411)Online publication date: 12-Aug-2024
https://doi.org/10.3758/s13414-024-02937-z
Bardach LSchumacher ATrautwein UKasneci ETibus MWortha FGerjets PAppel T(2024)Taking another look at intelligence and personality using an eye-tracking approachnpj Science of Learning10.1038/s41539-024-00252-89:1Online publication date: 1-Jul-2024
https://doi.org/10.1038/s41539-024-00252-8
Lee SKim HYi THyun K(2023)BIGazeAdvanced Engineering Informatics10.1016/j.aei.2023.10215958:COnline publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1016/j.aei.2023.102159
Unger MWedel MTuzhilin A(2023)Predicting consumer choice from raw eye-movement data using the RETINA deep learning architectureData Mining and Knowledge Discovery10.1007/s10618-023-00989-738:3(1069-1100)Online publication date: 29-Dec-2023
https://doi.org/10.1007/s10618-023-00989-7
Pan YXu J(2023)Personality Traits Inference in the Hybrid Foraging Search TaskDesign, User Experience, and Usability10.1007/978-3-031-35702-2_19(258-269)Online publication date: 9-Jul-2023
https://doi.org/10.1007/978-3-031-35702-2_19
Choi YKim JHong J(2022)Immersion Measurement in Watching Videos Using Eye-tracking DataIEEE Transactions on Affective Computing10.1109/TAFFC.2022.320931113:4(1759-1770)Online publication date: 1-Oct-2022
https://doi.org/10.1109/TAFFC.2022.3209311
Wu HFeng JTian XSun ELiu YDong BXu FZhong Sde Lara EMohomed INieh JBelding E(2020)EMOProceedings of the 18th International Conference on Mobile Systems, Applications, and Services10.1145/3386901.3388917(448-461)Online publication date: 15-Jun-2020
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Kröger JLutz OMüller F(2020)What Does Your Gaze Reveal About You? On the Privacy Implications of Eye TrackingPrivacy and Identity Management. Data for Better Living: AI and Privacy10.1007/978-3-030-42504-3_15(226-241)Online publication date: 6-Mar-2020
https://doi.org/10.1007/978-3-030-42504-3_15
de Haas BIakovidis ASchwarzkopf DGegenfurtner K(2019)Individual differences in visual salience vary along semantic dimensionsProceedings of the National Academy of Sciences10.1073/pnas.1820553116(201820553)Online publication date: 28-May-2019
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Lander CKrüger A(2018)EyeSenseProceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers10.1145/3267305.3274121(980-987)Online publication date: 8-Oct-2018
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