Adapting Performance And Emotional Support Feedback To Cultural Differences

Muhammad Adamu Sidi-Ali, Judith Masthoff, Matt Dennis, Jack Kopecky, Nigel Adrian Beacham

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

Abstract

This paper investigates adaptation of feedback to learners’ cultural backgrounds. First, we investigate how to portray the cultural background of a learner. Second, we present a qualitative focus-group study, investigating how participants from different cultures believe culture affects the kind of feedback given to a learner. Finally, we present an empirical study on how humans adapt feedback based on the cultural background of learners to inspire an algorithm. Our investigations resulted in a set of stories which can be used to reliably portray a person’s culture when
investigating cultural adaptation in indirect experiments and user as wizard studies. They also provided insights into the adaptations people make to cultural differences.
Original languageEnglish
Title of host publicationUMAP '19 Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization
EditorsGeorge Angelos Papadopoulos, George Samaras, Stephan Weibelzahl
Place of PublicationNew York, USA
PublisherAssociation for Computing Machinery (ACM)
Pages318-326
Number of pages9
ISBN (Print)9781450360210
DOIs
Publication statusPublished - 9 Jun 2019
EventUser Modelling, Adaptation and Personalization 2019 - Golden Bay Beach Hotel, Larnaca, Cyprus
Duration: 9 Jun 201912 Jun 2019
Conference number: 27
http://www.cyprusconferences.org/umap2019/

Conference

ConferenceUser Modelling, Adaptation and Personalization 2019
Abbreviated titleUMAP
CountryCyprus
CityLarnaca
Period9/06/1912/06/19
Internet address

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Experiments

Keywords

  • Feedback
  • Culture
  • Adaptation
  • E-learning

ASJC Scopus subject areas

  • Software

Cite this

Adamu Sidi-Ali, M., Masthoff, J., Dennis, M., Kopecky, J., & Beacham, N. A. (2019). Adapting Performance And Emotional Support Feedback To Cultural Differences. In G. A. Papadopoulos, G. Samaras, & S. Weibelzahl (Eds.), UMAP '19 Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization (pp. 318-326). New York, USA: Association for Computing Machinery (ACM). https://doi.org/10.1145/3320435.3320444

Adapting Performance And Emotional Support Feedback To Cultural Differences. / Adamu Sidi-Ali, Muhammad; Masthoff, Judith; Dennis, Matt; Kopecky, Jack; Beacham, Nigel Adrian.

UMAP '19 Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization. ed. / George Angelos Papadopoulos; George Samaras; Stephan Weibelzahl. New York, USA : Association for Computing Machinery (ACM), 2019. p. 318-326.

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

Adamu Sidi-Ali, M, Masthoff, J, Dennis, M, Kopecky, J & Beacham, NA 2019, Adapting Performance And Emotional Support Feedback To Cultural Differences. in GA Papadopoulos, G Samaras & S Weibelzahl (eds), UMAP '19 Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM), New York, USA, pp. 318-326, User Modelling, Adaptation and Personalization 2019, Larnaca, Cyprus, 9/06/19. https://doi.org/10.1145/3320435.3320444
Adamu Sidi-Ali M, Masthoff J, Dennis M, Kopecky J, Beacham NA. Adapting Performance And Emotional Support Feedback To Cultural Differences. In Papadopoulos GA, Samaras G, Weibelzahl S, editors, UMAP '19 Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization. New York, USA: Association for Computing Machinery (ACM). 2019. p. 318-326 https://doi.org/10.1145/3320435.3320444
Adamu Sidi-Ali, Muhammad ; Masthoff, Judith ; Dennis, Matt ; Kopecky, Jack ; Beacham, Nigel Adrian. / Adapting Performance And Emotional Support Feedback To Cultural Differences. UMAP '19 Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization. editor / George Angelos Papadopoulos ; George Samaras ; Stephan Weibelzahl. New York, USA : Association for Computing Machinery (ACM), 2019. pp. 318-326
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