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 language | English |
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Title of host publication | Proceedings of the 27th Conference on User Modeling, Adaptation and Personalization |
Place of Publication | New York |
Publisher | Association for Computing Machinery, Inc |
Pages | 318-326 |
Number of pages | 9 |
ISBN (Electronic) | 978-1-4503-6021-0 |
ISBN (Print) | 978-1-4503-6021-0 |
DOIs | |
Publication status | Published - 7 Jun 2019 |
Event | 27th Conference on User Modeling, Adaptation and Personalization - Golden Bay Beach Hotel, Larnaca, Cyprus Duration: 9 Jun 2019 → 12 Jun 2019 Conference number: 27 http://www.cyprusconferences.org/umap2019/ |
Conference
Conference | 27th Conference on User Modeling, Adaptation and Personalization |
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Abbreviated title | UMAP'19 |
Country/Territory | Cyprus |
City | Larnaca |
Period | 9/06/19 → 12/06/19 |
Internet address |
Keywords
- Feedback
- Culture
- Adaptation
- E-Learning