Publication year
2020Publisher
Cham : Springer
ISBN
9783030395407
In
Folstad, A.; Araujo, T.; Papadopoulos, S. (ed.), Conversations 2019: Chatbot Research and Design, pp. 158-169Annotation
Conversations 2019: International Workshop on Chatbot Research and Design (Amsterdam, the Netherlands, 19-20 November 2019)
Publication type
Article in monograph or in proceedings

Display more detailsDisplay less details
Editor(s)
Folstad, A.
Araujo, T.
Papadopoulos, S.
Law, E.L.C.
Granmo, O.C.
Luger, E.
Brandtzaeg, P.B.
Organization
SW OZ BSI CW
Languages used
English (eng)
Book title
Folstad, A.; Araujo, T.; Papadopoulos, S. (ed.), Conversations 2019: Chatbot Research and Design
Page start
p. 158
Page end
p. 169
Subject
Communication and MediaAbstract
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 < .017). This task is quick to administer and does not require a second chatbot for comparison, making it an efficient universal task. With it, a database could be built with scores of all existing chatbots, allowing fast and efficient meta-analyses to discover which characteristics make the chatbot appear more 'human'.
This item appears in the following Collection(s)
- Academic publications [227436]
- Faculty of Social Sciences [28417]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.