Tracing the Process of Rating Decisions through Cursor Movements

Kenpei Shiina*

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

To study the decision process during rating tasks, PC cursor trajectories were recorded and analyzed. The trajectories were often successions of rapid saccadic-like movements that are called strokes in this paper. The analysis of strokes revealed that the distribution of strokes differed across tasks as a function of task difficulty. A simple number matching task elicited fewer strokes, shorter response times, and velocity patterns resembling simple ballistic reaching movements. A personality rating task tended to elicit multiple strokes and longer RTs, which caused a typical inverted-U RT effect. The shape and speed of tangential velocity of trajectories may reflect participant’s internal states, especially when cognitive loads are high.

Original languageEnglish
Title of host publicationExpanding the Space of Cognitive Science - Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, CogSci 2011
EditorsLaura Carlson, Christoph Hoelscher, Thomas F. Shipley
PublisherThe Cognitive Science Society
Pages747-752
Number of pages6
ISBN (Electronic)9780976831877
Publication statusPublished - 2011
Event33rd Annual Meeting of the Cognitive Science Society: Expanding the Space of Cognitive Science, CogSci 2011 - Boston, United States
Duration: 2011 Jul 202011 Jul 23

Publication series

NameExpanding the Space of Cognitive Science - Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, CogSci 2011

Conference

Conference33rd Annual Meeting of the Cognitive Science Society: Expanding the Space of Cognitive Science, CogSci 2011
Country/TerritoryUnited States
CityBoston
Period11/7/2011/7/23

Keywords

  • decisional fluctuation
  • inverted-U effect
  • Rating decision
  • Response time

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

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