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A Pattern Approach to Comprehensible and Pleasant Human–Robot Interaction
- Source :
- Multimodal Technologies and Interaction, Vol 5, Iss 49, p 49 (2021), Multimodal Technologies and Interaction, Volume 5, Issue 9
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- HRI designers are faced with the task of creating robots that are easy and pleasant to use for the users. The growing body of research in human–robot interaction (HRI) is still mainly focused on technical aspects of the interaction. It lacks defined guidelines that describe how behavioral expressions for social robots need to be designed to promote high usability and positive user experience. To achieve this goal, we propose to apply the concept of design patterns to HRI. We present a design process that provides step-by-step guidance and methods for HRI designers to generate high quality behavioral patterns for social robots that can be used for different robots and use cases. To document the resulting patterns, we developed a documentation format that provides a clear, standardized structure to note down all relevant aspects of a pattern so that others can understand its design recommendations and apply them to their own robot and use cases. In the present paper, we demonstrate our pattern approach based on an example and describe how we arrived at a pattern language of 40 behavioral patterns that found the basis for future social robot design and related research activities.
- Subjects :
- Pattern language
Technology
Social robot
Computer Networks and Communications
business.industry
Computer science
Science
Neuroscience (miscellaneous)
Behavioral pattern
Usability
Human–robot interaction
Computer Science Applications
Human-Computer Interaction
human-centered design
User experience design
Human–computer interaction
pattern language
user experience
Software design pattern
behavioral design patterns
human–robot interaction
business
User-centered design
Subjects
Details
- Language :
- English
- ISSN :
- 24144088
- Volume :
- 5
- Issue :
- 49
- Database :
- OpenAIRE
- Journal :
- Multimodal Technologies and Interaction
- Accession number :
- edsair.doi.dedup.....6e4068d7750242e21ee11dc53d2a4219