1. How to improve human-robot interaction with Conversational Fillers
- Author
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Joachim de Greeff, Rosemarijn Looije, Noel Wigdor, and Mark A. Neerincx
- Subjects
PCS - Perceptual and Cognitive Systems ,media_common.quotation_subject ,Natural languages ,050105 experimental psychology ,Human–robot interaction ,Human–computer interaction ,Perception ,Human & Operational Modelling ,0501 psychology and cognitive sciences ,Conversation ,Delays ,Heart rate variability ,050107 human factors ,media_common ,business.industry ,05 social sciences ,Robotics ,human-robot interaction ,interactive systems ,Wizard of Oz ,WoZ controlled open-ended dialogue ,acknowledging gesture ,autonomy ,child-robot interaction ,conversational fillers ,iconic pensive gesture ,intelligence ,perceived aliveness ,perceived humanness ,perceived speediness ,robot likability ,robot response smoothening ,trustworthiness ,Games ,Human-robot interaction ,Robots ,Trustworthiness ,Robot ,ELSS - Earth, Life and Social Sciences ,Artificial intelligence ,Healthy for Life ,business ,Psychology ,Healthy Living ,Natural language ,Gesture - Abstract
Conversation Fillers (CFs), such as `um', `hmm', and `ah', may help to improve the human-robot interaction by smoothening the robot's responses. This paper presents the design and test of such CFs - alongside iconic pensive or acknowledging gestures - for Wizard of Oz (WoZ) controlled open-ended dialogues in child-robot interactions. A controlled experiment with 26 children showed that these CFs can improve the perceived speediness, aliveness, humanness, and likability of the robot, without decreasing perceptions of intelligence, trustworthiness, or autonomy.
- Published
- 2016