User Reception of Babylon Health's Chatbot
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| Název: | User Reception of Babylon Health's Chatbot |
|---|---|
| Autoři: | Magalhaes Azevedo, Daniela, Legay, Axel, Kieffer, Suzanne, HUCAPP 2022, 6th International Conference on Human Computer Interaction Theory and Applications |
| Přispěvatelé: | UCL - SSH/ILC/PCOM - Pôle de recherche en communication, UCL - SST/ICTM/INGI - Pôle en ingénierie informatique |
| Rok vydání: | 2022 |
| Sbírka: | DIAL@USL-B (Université Saint-Louis, Bruxelles) |
| Témata: | User Experience, mHealth, Babylon Health, Chatbot, Artificial Intelligence |
| Popis: | 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. |
| Druh dokumentu: | conference object |
| Jazyk: | English |
| Relation: | boreal:258299; http://hdl.handle.net/2078.1/258299 |
| DOI: | 10.5220/0000156800003124 |
| Dostupnost: | http://hdl.handle.net/2078.1/258299 https://doi.org/10.5220/0000156800003124 |
| Rights: | info:eu-repo/semantics/openAccess |
| Přístupové číslo: | edsbas.E9F21A02 |
| Databáze: | BASE |
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