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- research-articleOctober 2024
Let Me Explain What I Did or What I Would Have Done: An Empirical Study on the Effects of Explanations and Person-Likeness on Trust in and Understanding of Algorithms
- Jessica M. Szczuka,
- Aike C. Horstmann,
- Natalia Szymczyk,
- Clara Strathmann,
- André Artelt,
- Lina Mavrina,
- Nicole Krämer
NordiCHI '24: Proceedings of the 13th Nordic Conference on Human-Computer InteractionArticle No.: 18, Pages 1–13https://doi.org/10.1145/3679318.3685351AI-based systems become ubiquitous but stay opaque. To promote informed usage, explanations of how systems compute outcomes emerged as a promising strategy (XAI). Moreover, there is a trend of equipping technologies with human-like features (e.g., ...
- research-articleSeptember 2022
How do children acquire knowledge about voice assistants? A longitudinal field study on children’s knowledge about how voice assistants store and process data
International Journal of Child-Computer Interaction (IJCCI), Volume 33, Issue Chttps://doi.org/10.1016/j.ijcci.2022.100460AbstractVoice assistants (VAs) are available in the family context and are easy to interact with. Due to the opaqueness of these assistants, however, children in particular might be unaware of potential negative consequences (e.g., with regard to privacy)...