UMMS Affiliation
Eunice Kennedy Shriver Center; Department of Family Medicine and Community Health
Publication Date
2017-08-12
Document Type
Conference Proceeding
Disciplines
Cognitive Neuroscience | Graphics and Human Computer Interfaces | Musculoskeletal, Neural, and Ocular Physiology
Abstract
While eye tracking is gaining popularity in IS research, pupillometry is relatively less explored in IS eye tracking studies. Research however suggests that pupillometry may serve as an excellent unobtrusive measure to study user information processing behavior. The Adaptive decision making theory asserts that task demand affects information processing behavior. Grounded in this theory, we argue that users’ pupillary responses will be different under different task conditions (task demand). We tested our assertion via an eye tracking laboratory experiment. Our results show that pupillary responses were significantly different under different task conditions.
Keywords
Pupil dilation, pupil dilation variation, task conditions, eye-tracking, cognitive load
Rights and Permissions
Copyright 2017 by the Association for Information Systems. Publisher PDF posted as allowed by the publisher's author copyright policy at https://aisel.aisnet.org/thci/authorinfo.html. Use for profit is not allowed.
Source
Shojaeizadeh M, Djamasbi S, Rochford J, Chen P. (2017). Task Condition and Pupillometry. Twenty-third Americas Conference on Information Systems, Boston, 2017. Link to publisher website
Journal/Book/Conference Title
23rd Americas Conference on Information Systems (AMCIS 2017)
Repository Citation
Shojaeizadeh M, Worcester Polytechnic Institute, Rochford J, Chen P. (2017). Task Condition and Pupillometry. Eunice Kennedy Shriver Center Publications. Retrieved from https://escholarship.umassmed.edu/shriver_pp/66
Included in
Cognitive Neuroscience Commons, Graphics and Human Computer Interfaces Commons, Musculoskeletal, Neural, and Ocular Physiology Commons