User Reception of Babylon Health's Chatbot

(2022) HUCAPP 2022, 6th International Conference on Human Computer Interaction Theory and Applications — Location: Vienna, Austria (6.February.2022)

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Abstract
Over the past decade, renewed interest in artificial intelligence systems prompted a proliferation of human-computer studies studies. These studies uncovered several factors impacting users’ appraisal and evaluation of AI systems. One key finding is that users consistently evaluated AI systems performing a given task more harshly than human experts performing the same task. This study aims to uncover another finding: by presenting a mHealth app as either AI or omitting the AI label and asking participants to perform a task, we evaluated whether users still consistently evaluate AI systems more harshly. Moreover, by picking young and well educated participants, we also open new research avenues to be further studied.
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Citations

Magalhaes Azevedo, D., Legay, A., & Kieffer, S. (2022). User Reception of Babylon Health’s Chatbot. Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, p. 134-141. https://doi.org/10.5220/0000156800003124