Feasibility of Longitudinal Eye-Gaze Tracking in the Workplace-Reference-Cited by-同舟云学术

Feasibility of Longitudinal Eye-Gaze Tracking in the Workplace

Published:2022-05-13 Issue:ETRA Volume:6 Page:1-21
ISSN:2573-0142
Container-title:Proceedings of the ACM on Human-Computer Interaction
language:en
Short-container-title:Proc. ACM Hum.-Comput. Interact.

Author:

Hutt Stephen¹,Stewart Angela E.B.²,Gregg Julie³,Mattingly Stephen⁴,D'Mello Sidney K.³

Affiliation:

1. University of Pennsylvania, Philadelphia, PA, USA

2. Carnegie Mellon University, Pittsburgh, PA, USA

3. University of Colorado at Boulder, Boulder, CO, USA

4. University of Notre Dame, Notre Dame, IN, USA

Abstract

Eye movements provide a window into cognitive processes, but much of the research harnessing this data has been confined to the laboratory. We address whether eye gaze can be passively, reliably, and privately recorded in real-world environments across extended timeframes using commercial-off-the-shelf (COTS) sensors. We recorded eye gaze data from a COTS tracker embedded in participants (N=20) work environments at pseudorandom intervals across a two-week period. We found that valid samples were recorded approximately 30% of the time despite calibrating the eye tracker only once and without placing any other restrictions on participants. The number of valid samples decreased over days with the degree of decrease dependent on contextual variables (i.e., frequency of video conferencing) and individual difference attributes (e.g., sleep quality and multitasking ability). Participants reported that sensors did not change or impact their work. Our findings suggest the potential for the collection of eye-gaze in authentic environments.

Funder

National Science Foundation

Intelligence Advanced Research Projects Activity

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Link

https://dl.acm.org/doi/pdf/10.1145/3530889

Reference99 articles.

1. Abdullah , S. , Matthews , M. , Murnane , E.L. , Gay , G. and Choudhury , T . 2014. Towards circadian computing: ?Early to bed and early to rise" makes some of us unhealthy and sleep deprived . UbiComp 2014 - Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (2014 ).https://doi.org/10.1145/263 2048 .2632100. Abdullah, S., Matthews, M., Murnane, E.L., Gay, G. and Choudhury, T. 2014. Towards circadian computing: ?Early to bed and early to rise" makes some of us unhealthy and sleep deprived. UbiComp 2014 - Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (2014).https://doi.org/10.1145/2632048.2632100.

2. Abdullah , S. , Murnane , E.L. , Matthews , M. and Choudhury , T . 2017 . Circadian Computing: Sensing, Modeling, and Maintaining Biological Rhythms. Mobile Health: Sensors, Analytic Methods, and Applications. (2017).https://doi.org/10.1007/978--3--319--51394--2_3. Abdullah, S., Murnane, E.L., Matthews, M. and Choudhury, T. 2017. Circadian Computing: Sensing, Modeling, and Maintaining Biological Rhythms. Mobile Health: Sensors, Analytic Methods, and Applications. (2017).https://doi.org/10.1007/978--3--319--51394--2_3.

3. Ahmidi , N. , Hager , G.D. , Ishii , L. , Fichtinger , G. , Gallia , G.L. and Ishii , M . 2010. Surgical Task and Skill Classification from Eye Tracking and Tool Motion in Minimally Invasive Surgery . 13th International Conference on Medical Image Computing and Computer-Assisted Intervention ( Beijing, China , Sep. 2010 ), 295--302.https://doi.org/10.1007/978--3--642--15711-0_37. Ahmidi, N., Hager, G.D., Ishii, L., Fichtinger, G., Gallia, G.L. and Ishii, M. 2010. Surgical Task and Skill Classification from Eye Tracking and Tool Motion in Minimally Invasive Surgery. 13th International Conference on Medical Image Computing and Computer-Assisted Intervention (Beijing, China, Sep. 2010), 295--302.https://doi.org/10.1007/978--3--642--15711-0_37.

4. Arroyo I. Cooper D.G. Burleson W. Woolf B.P. Muldner K. and Christopherson R. 2009. Emotion sensors go to school. Frontiers in Artificial Intelligence and Applications (2009) 17--24.https://doi.org/10.3233/978--1--60750-028--5--17. Arroyo I. Cooper D.G. Burleson W. Woolf B.P. Muldner K. and Christopherson R. 2009. Emotion sensors go to school. Frontiers in Artificial Intelligence and Applications (2009) 17--24.https://doi.org/10.3233/978--1--60750-028--5--17.

5. Asteriadis S. Tzouveli P. Karpouzis K. and Kollias S. 2009. Estimation of Behavioral User State Based on Eye Gaze and Head Pose-Application in an e-Learning Environment. Multimedia Tools and Applications. (2009).https://doi.org/10.1007/s11042-008-0240--1. Asteriadis S. Tzouveli P. Karpouzis K. and Kollias S. 2009. Estimation of Behavioral User State Based on Eye Gaze and Head Pose-Application in an e-Learning Environment. Multimedia Tools and Applications. (2009).https://doi.org/10.1007/s11042-008-0240--1.

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. I see an IC: A Mixed-Methods Approach to Study Human Problem-Solving Processes in Hardware Reverse Engineering;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

2. Uncovering and Addressing Blink-Related Challenges in Using Eye Tracking for Interactive Systems;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

3. Cognitive state detection with eye tracking in the field: an experience sampling study and its lessons learned;i-com;2024-04-01

4. Human-centered Behavioral and Physiological Security;New Security Paradigms Workshop;2023-09-18