Telling Eyes: Linking Eye-Tracking Indicators to Affective Variables

2Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

Abstract

Research has tried to link affective states to different eye-tracking measures with varying success. Although previous research has proposed that using live eye-tracking data for video games could considerably enhance adaptive gameplay techniques' capabilities, little research has been done. The main goal of the current study was to link eye-tracking indicators to affective states (confusion, frustration). Thirty-nine participants were recruited to play a riddle game in virtual reality similar to the game "Portal", with levels differently manipulating affective states in a within-study design. Participants did self-rate confusion and frustration retrospectively watching a recording of their gameplay. It was shown that different levels of frustration and confusion could be evoked. Hypotheses about the relationship between confusion/frustration and eye-tracking data could only be partially supported. Analyses revealed various possible reasons for contradictory results and several implications for future research, including aspects of eye-tracking indicators and the underlying eye-tracking technology.

Cite

CITATION STYLE

APA

Winklbauer, A., Stiglbauer, B., Lankes, M., & Sporn, M. (2023). Telling Eyes: Linking Eye-Tracking Indicators to Affective Variables. In ACM International Conference Proceeding Series. Association for Computing Machinery. https://doi.org/10.1145/3582437.3582458

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free