The technological advancements in the field of chatbot research is booming. Despite this, it is still difficult to assess which social characteristics a chatbot needs to have for the user to interact with it as if it had a mind of its own. Review studies have highlighted that the main cause is the low number of research papers dedicated to this question, and the lack of a consistent protocol within the papers that do address it. In the current paper, we suggest the use of a Theory of Mind task to measure the implicit social behaviour users exhibit towards a text-based chatbot. We present preliminary findings suggesting that participants adapt towards this basic chatbot significantly more than when they conduct the task alone (p
CITATION STYLE
Heyselaar, E., & Bosse, T. (2020). Using Theory of Mind to Assess Users’ Sense of Agency in Social Chatbots. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11970 LNCS, pp. 158–169). Springer. https://doi.org/10.1007/978-3-030-39540-7_11
Mendeley helps you to discover research relevant for your work.