A child and a robot getting acquainted - Interaction design for eliciting self-disclosure

Mike Ligthart, Kelly L.A. Van Bindsbergen, Timo Fernhout, Martha A. Grootenhuis, Mark A. Neerincx, Koen V. Hindriks

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdragepeer review

27 Citaten (Scopus)

Samenvatting

In order to facilitate a sustainable long-term interaction between a child and a robot they need to get acquainted with one another. In this paper we discuss the foundation, the rationale, and the evaluation (N = 75) of our design for an autonomous robot conversational partner that engages with Dutch children (8-11 y.o.) in a getting acquainted interaction. The main objective of the robot is to elicit children to self-disclose. Firstly, we discuss five interaction design patterns (IDPs) that proved to be successful in autonomously eliciting and processing self-disclosures. Secondly, we compared two robot behavior profiles. The behavior profiles can be relatively considered as being more and less energetic. We manipulated the movement speed, the speech rate and volume, the use of high/low energy language, waiting time before responding, and the order of high/low energy activities. Results show that the less energetic behavior profile significantly leads to more self-disclosure.

Originele taal-2Engels
Titel18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
UitgeverijInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pagina's61-70
Aantal pagina's10
ISBN van elektronische versie9781510892002
StatusGepubliceerd - 2019
Evenement18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019 - Montreal, Canada
Duur: 13 mei 201917 mei 2019

Publicatie series

NaamProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume1
ISSN van geprinte versie1548-8403
ISSN van elektronische versie1558-2914

Congres

Congres18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
Land/RegioCanada
StadMontreal
Periode13/05/1917/05/19

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