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 | ACM UMAP 2019 - Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization |
Publisher | Association for Computing Machinery |
Pages | 318-326 |
Number of pages | 9 |
ISBN (Electronic) | 9781450360210 |
DOIs | |
Publication status | Published - 7 Jun 2019 |
Event | 27th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2019 - Larnaca, Cyprus Duration: 9 Jun 2019 → 12 Jun 2019 |
Conference
Conference | 27th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2019 |
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Country/Territory | Cyprus |
City | Larnaca |
Period | 9/06/19 → 12/06/19 |
Keywords
- Adaptation
- Culture
- E-learning
- Feedback