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| Schematic depiction of the study setup from Neuhaus et al. 2019 |
Case study: https://dl.acm.org/citation.cfm?id=3351325
By: Robin Neuhaus, Matthias Laschke, Dimitra Theofanou-Fülbier, Marc Hassenzahl, and Shadan Sadeghian
In their paper, Exploring the impact of transparency on the interaction with an in-car digital AI assistant, Neuhaus et al. use a user enactment method to test the impact of varying levels of transparency on interaction with an intelligent agent. This can help to determine where to strike the transparency balance for a specific interaction.
Full Reference: Neuhaus, Laschke, Theofanou-Fülbier, Hassenzahl, and Sadeghian. 2019. Exploring the impact of transparency on the interaction with an in-car digital AI assistant. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings (AutomotiveUI '19). ACM, New York, NY, USA, 450-455. DOI: https://doi.org/10.1145/3349263.3351325