Artificial Intelligence is seen as humanity's current best bet to solve the looming crisis in healthcare. Conversational Agents, or chatbots, rely on advances in AI and are increasingly investigated in the context of digital mental health care. Given how they are end-user-facing and interactive communication tools, the user engagement felt when interacting with the bots is a critical consideration. In this work, we examine the effects of chatbot personalities on the experienced user engagement with the bot. We employed personalities that rely on the Big-5 Personality Theory. Among other findings, our quantitative results indicate that a highly conscientious chatbot is likely to foster the highest user engagement. Our qualitative and content analysis also reveals desired and undesired personality features for future mental health chatbots. We discuss our findings in light of digital mental health and propose novel research directions.
|Title of host publication||Proceedings of MUM 2022, the 21st International Conference on Mobile and Ubiquitous Multimedia|
|Editors||Tanja Doring, Susanne Boll, Ashley Colley, Augusto Esteves, Joao Guerreiro|
|Publisher||Association for Computing Machinery|
|Number of pages||13|
|State||Published - 27 Nov 2022|
|Event||21st International Conference on Mobile and Ubiquitous Multimedia, MUM 2022 - Lisbon, Portugal|
Duration: 27 Nov 2022 → 30 Nov 2022
|Name||ACM International Conference Proceeding Series|
|Conference||21st International Conference on Mobile and Ubiquitous Multimedia, MUM 2022|
|Period||27/11/22 → 30/11/22|
Bibliographical noteFunding Information:
This research is connected to the GenZ strategic profiling project at the University of Oulu, supported by the Academy of Finland (project number 318930) and CRITICAL (Academy of Finland Strategic Research, 335729). Part of the work was also carried out with the support of Biocenter Oulu, spearhead of project ICON.
© 2022 Owner/Author.
- big five
- conversational agent
- mental health
- user engagement