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How to improve human-robot interaction with Conversational Fillers
- Source :
- RO-MAN, Robot and Human Interactive Communication (RO-MAN), 2016 25th IEEE International Symposium on, August 26-31, 2016. Columbia University, NY, USA, 219-224
- Publication Year :
- 2016
- Publisher :
- Zenodo, 2016.
-
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.
- 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
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- RO-MAN, Robot and Human Interactive Communication (RO-MAN), 2016 25th IEEE International Symposium on, August 26-31, 2016. Columbia University, NY, USA, 219-224
- Accession number :
- edsair.doi.dedup.....5cc3bbc44ee75083e977bcc8a2f22331