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)

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