short-paper

A preliminary study using a web camera based eye tracking to assess novelty reaction allowing user interaction

Authors:

Jessica Beltrán,

Isaac Ríos-Vázquez,

Ámbar S. Sánchez-Cortez,

René F. Navarro,

Luis A. Maldonado-Cano,

Mireya S. García-VázquezAuthors Info & Claims

MexIHC '18: Proceedings of the 7th Mexican Conference on Human-Computer Interaction

Article No.: 19, Pages 1 - 4

https://doi.org/10.1145/3293578.3293598

Published: 29 October 2018 Publication History

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Abstract

The analysis of eye fixations during a Visual Paired Comparison Task is useful to measure novelty preference, which has been correlated with mental health status. The experimentation with the Visual Paired Comparison Task has been mainly conducted with commercial high-performance eye trackers and different experimental setup constraints. Recent research has shown that a web camera-based eye tracking can gather useful data with the Visual Paired Comparison Task. The ubiquitous web camera gives different possibilities for pervasive mental health assessment. We conducted a preliminary study where participants are not only observers in the Visual Paired Comparison Task, but they can interact with the system by moving over displayed images at their own pace. We collected data from 23 participants using a web camera based eye tracker. We discuss the novelty preference from participants that are only observers and with participants that can freely advance through the images.

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Information

Published In

MexIHC '18: Proceedings of the 7th Mexican Conference on Human-Computer Interaction

October 2018

123 pages

ISBN:9781450366533

DOI:10.1145/3293578

Conference Chairs:
Edgar Cambranes
Universidad Autónoma de Yucatan
,
Lizbeth Escobedo
CETYS Universidad
,
Program Chairs:
Omar Sosa-Tzec
University of Michigan
,
Juan Pablo Garcia
Universidad Autónoma de Baja California
,
Jesus Favela
Centro de Investigación Científica y de Educación Superior de Ensenada

© 2018 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 October 2018

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MexIHC '18

MexIHC '18: 7th Mexican Conference on Human-Computer Interaction

October 29 - 31, 2018

Merida, Mexico

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MexIHC '18 Paper Acceptance Rate 20 of 40 submissions, 50%;

Overall Acceptance Rate 20 of 40 submissions, 50%

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Chaabene SBoudaya ABouaziz BChaari L(2025)An overview of methods and techniques in multimodal data fusion with application to healthcareInternational Journal of Data Science and Analytics10.1007/s41060-025-00715-0Online publication date: 10-Jan-2025
https://doi.org/10.1007/s41060-025-00715-0

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