A multi-experimental examination of analyzing mouse cursor trajectories to gauge subject uncertainty

Jeffrey L. Jenkins, Ross Larsen, Robert Bodily, Daniel Sandberg, Parker Williams, Steve Stokes, Spencer Harris, Joseph S Valacich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Providing information online is pervasive in human-computer interactions. While providing information, people may deliberate their responses. However, organizations only receive the end-result of this deliberation and therefore have no contextual information surrounding the response. One type of contextual information includes knowing people's response uncertainty while providing information. Knowing uncertainty allows organizations to weigh responses, ask follow-up questions, provide assistance, or identify problematic instructions or responses. This paper explores how mouse cursor movements may indicate uncertainty in a human-computer interaction context. Specifically, it hypothesizes how uncertainty on multiple-choice questions influences a mouse-movement statistic called area-under-the-curve (AUC). We report the result of two studies that suggest that AUC is higher when people have moderate uncertainty about an answer than if people have high or low uncertainty. The results suggest a methodology for measuring uncertainty to facilitate multi-method research and to assess data in a pragmatic setting.

Original languageEnglish (US)
Title of host publication2015 Americas Conference on Information Systems, AMCIS 2015
PublisherAmericas Conference on Information Systems
ISBN (Print)9780996683104
StatePublished - 2015
Event21st Americas Conference on Information Systems, AMCIS 2015 - Fajardo, Puerto Rico
Duration: Aug 13 2015Aug 15 2015

Other

Other21st Americas Conference on Information Systems, AMCIS 2015
CountryPuerto Rico
CityFajardo
Period8/13/158/15/15

Fingerprint

Gages
Trajectories
Human computer interaction
Uncertainty
Statistics

Keywords

  • Adaptive computers
  • Area-under-the-curve
  • Mouse cursor tracking
  • Uncertainty

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

Cite this

Jenkins, J. L., Larsen, R., Bodily, R., Sandberg, D., Williams, P., Stokes, S., ... Valacich, J. S. (2015). A multi-experimental examination of analyzing mouse cursor trajectories to gauge subject uncertainty. In 2015 Americas Conference on Information Systems, AMCIS 2015 Americas Conference on Information Systems.

A multi-experimental examination of analyzing mouse cursor trajectories to gauge subject uncertainty. / Jenkins, Jeffrey L.; Larsen, Ross; Bodily, Robert; Sandberg, Daniel; Williams, Parker; Stokes, Steve; Harris, Spencer; Valacich, Joseph S.

2015 Americas Conference on Information Systems, AMCIS 2015. Americas Conference on Information Systems, 2015.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jenkins, JL, Larsen, R, Bodily, R, Sandberg, D, Williams, P, Stokes, S, Harris, S & Valacich, JS 2015, A multi-experimental examination of analyzing mouse cursor trajectories to gauge subject uncertainty. in 2015 Americas Conference on Information Systems, AMCIS 2015. Americas Conference on Information Systems, 21st Americas Conference on Information Systems, AMCIS 2015, Fajardo, Puerto Rico, 8/13/15.
Jenkins JL, Larsen R, Bodily R, Sandberg D, Williams P, Stokes S et al. A multi-experimental examination of analyzing mouse cursor trajectories to gauge subject uncertainty. In 2015 Americas Conference on Information Systems, AMCIS 2015. Americas Conference on Information Systems. 2015
Jenkins, Jeffrey L. ; Larsen, Ross ; Bodily, Robert ; Sandberg, Daniel ; Williams, Parker ; Stokes, Steve ; Harris, Spencer ; Valacich, Joseph S. / A multi-experimental examination of analyzing mouse cursor trajectories to gauge subject uncertainty. 2015 Americas Conference on Information Systems, AMCIS 2015. Americas Conference on Information Systems, 2015.
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