Keywords

attention, distraction, mouse tracking, behavior analysis, human-computer interaction

Abstract

Attention is a scarce resource in an increasingly distracting world. Although computing devices might well be blamed for much of the distraction we experience, these devices also afford an opportunity for feedback and improvement, as seen in a variety of contexts. This paper provides initial evidence that mouse movement data can be used to measure users’ attention control. Attention control refers to the ability to maintain top-down attention to goal-relevant stimuli and resist the distracting influence of irrelevant stimuli competing for attention. During a controlled experiment with conditions of varying levels of distraction, we captured participants’ mouse movements to determine whether mouse movement data can be used to detect both state and trait attention control. We discuss various applications of this approach as a feedback mechanism in situations where maintaining focus is an important determinant of system success, such as in online learning or training scenarios.

Original Publication Citation

Wilson, David W., Jenkins, Jeffrey L., & Valacich, Joseph S., "Measuring State and Trait Attention Control Using Mouse Movements," 2023 46t MIPRO ICT and Electronics Convention (MIPRO), Opatija, Croatia, 2023, pp. 1-6.

Document Type

Conference Paper

Publication Date

2023

Publisher

MIPRO ICT and Electronics Convention

Language

English

College

Marriott School of Business

Department

Information Systems Management

University Standing at Time of Publication

Assistant Professor

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