Paper Info
Title
Development of a taxonomy to improve human-robot-interaction through multimodal robot feedback
Abstract
The adequacy of a robot's feedback is crucial for advan-ced human-robot interaction (HRI). We investigate how multimodality can add value for better cooperation in a future in which robots will co-exist with us. There is a lot of research around service robots and many scena-rios are being worked on: Robots that help us, cooper-ate with us, or even ones that eventually need our assistance. For smooth interaction it is necessary for humans to understand the robot, which is why I pro-pose a taxonomy of robot feedback. The taxonomy, which is mapped out in an iterative process, is aimed at providing a deeper understanding of feedback in general and to improve the specific area of HRI.
Year
DOI
Venue
2013
10.1145/2468356.2468707
CHI Extended Abstracts
Keywords
Field
DocType
iterative process,specific area,better cooperation,service robot,deeper understanding,smooth interaction,multimodal robot feedback,advan-ced human-robot interaction,robot feedback
Social robot,Multimodality,Iterative and incremental development,Computer science,Personal robot,Human–computer interaction,Robot,Multimedia,Human–robot interaction
Conference
Citations 
PageRank 
References 
0
0.34
11
Authors
1
Name
Order
Citations
PageRank
Nicole Mirnig17011.65