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

doi:10.1145/2678025.2701377

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 proceeding › Conference proceeding › peer-review

15 Citations (Scopus)

39 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 language	English
Title of host publication	IUI 2015 - Proceedings of the 20th ACM International Conference on Intelligent User Interfaces
Publisher	Association for Computing Machinery
Pages	400-404
Number of pages	5
Volume	2015-January
ISBN (Electronic)	9781450333061
DOIs	https://doi.org/10.1145/2678025.2701377
Publication status	Published - 1 Jan 2015
Externally published	Yes
Event	20th ACM International Conference on Intelligent User Interfaces, IUI 2015 - Atlanta, United States Duration: 29 Mar 2015 → 1 Apr 2015

Conference

Conference	20th ACM International Conference on Intelligent User Interfaces, IUI 2015
Country/Territory	United States
City	Atlanta
Period	29/03/15 → 1/04/15

Keywords

Adaptive feedback presentation
Affect
Emotions

ASJC Scopus subject areas

Software
Human-Computer Interaction

Access to Document

10.1145/2678025.2701377

IUI-WOZAccepted author manuscript, 397 KB

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 et al.
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 proceeding › Conference proceeding › peer-review

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, Georgia, 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 doi: 10.1145/2678025.2701377

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