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.
CITATION STYLE
Sidi-Ali, M. A., Masthoff, J., Dennis, M., Kopecky, J., & Beacham, N. (2019). Adapting performance and emotional support feedback to cultural differences. In ACM UMAP 2019 - Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization (pp. 318–326). Association for Computing Machinery, Inc. https://doi.org/10.1145/3320435.3320444
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