Light-bulb moment? Towards adaptive presentation of feedback based on students' affective state

Beate Grawemeyer, Wayne Holmes, Sergio Gutiérrez-Santos, Alice Hansen, Katharina Loibl, Manolis Mavrikis

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

9 Citations (Scopus)
1 Downloads (Pure)

Abstract

Affective states play a significant role in students' learning behaviour. Positive affective states can enhance learning, whilst negative affective states can inhibit it. This paper describes a Wizard-of-Oz study which investigates whether the way feedback is presented should change according to the affective state of a student, in order to encourage affect change if that state is negative. We presented high-interruptive feedback in the form of pop-up windows in which messages were immediately viewable; or low-interruptive feedback, a glowing light bulb which students needed to click in order to access the messages. Our results show that when students are confused or frustrated high-interruptive feedback is more effective, but when students are enjoying their activity, there is no difference. Based on the results, we present guidelines for adaptively tailoring the presentation of feedback based on students' affective states when interacting with learning environments.

Original languageEnglish
Title of host publicationIUI 2015 - Proceedings of the 20th ACM International Conference on Intelligent User Interfaces
PublisherAssociation for Computing Machinery
Pages400-404
Number of pages5
Volume2015-January
ISBN (Electronic)9781450333061
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event20th ACM International Conference on Intelligent User Interfaces, IUI 2015 - Atlanta, United States
Duration: 29 Mar 20151 Apr 2015

Conference

Conference20th ACM International Conference on Intelligent User Interfaces, IUI 2015
CountryUnited States
CityAtlanta
Period29/03/151/04/15

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Students
Feedback

Keywords

  • Adaptive feedback presentation
  • Affect
  • Emotions

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction

Cite this

Grawemeyer, B., Holmes, W., Gutiérrez-Santos, S., Hansen, A., Loibl, K., & Mavrikis, M. (2015). Light-bulb moment? Towards adaptive presentation of feedback based on students' affective state. In IUI 2015 - Proceedings of the 20th ACM International Conference on Intelligent User Interfaces (Vol. 2015-January, pp. 400-404). Association for Computing Machinery. https://doi.org/10.1145/2678025.2701377

Light-bulb moment? Towards adaptive presentation of feedback based on students' affective state. / Grawemeyer, Beate; Holmes, Wayne; Gutiérrez-Santos, Sergio; Hansen, Alice; Loibl, Katharina; Mavrikis, Manolis.

IUI 2015 - Proceedings of the 20th ACM International Conference on Intelligent User Interfaces. Vol. 2015-January Association for Computing Machinery, 2015. p. 400-404.

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

Grawemeyer, B, Holmes, W, Gutiérrez-Santos, S, Hansen, A, Loibl, K & Mavrikis, M 2015, Light-bulb moment? Towards adaptive presentation of feedback based on students' affective state. in IUI 2015 - Proceedings of the 20th ACM International Conference on Intelligent User Interfaces. vol. 2015-January, Association for Computing Machinery, pp. 400-404, 20th ACM International Conference on Intelligent User Interfaces, IUI 2015, Atlanta, United States, 29/03/15. https://doi.org/10.1145/2678025.2701377
Grawemeyer B, Holmes W, Gutiérrez-Santos S, Hansen A, Loibl K, Mavrikis M. Light-bulb moment? Towards adaptive presentation of feedback based on students' affective state. In IUI 2015 - Proceedings of the 20th ACM International Conference on Intelligent User Interfaces. Vol. 2015-January. Association for Computing Machinery. 2015. p. 400-404 https://doi.org/10.1145/2678025.2701377
Grawemeyer, Beate ; Holmes, Wayne ; Gutiérrez-Santos, Sergio ; Hansen, Alice ; Loibl, Katharina ; Mavrikis, Manolis. / Light-bulb moment? Towards adaptive presentation of feedback based on students' affective state. IUI 2015 - Proceedings of the 20th ACM International Conference on Intelligent User Interfaces. Vol. 2015-January Association for Computing Machinery, 2015. pp. 400-404
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