How Humans Evaluate the Impression when Interacting Haptically with a Robot

Yoshiyuki Miyamoto, Takashi Maeno

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

It is necessary to analyze evaluation structure of impression of human for robot’s natural interaction with human. In this paper, we assume hierarchy in evaluation structure of impression of human, and clarify the relationship between lower impression and higher impression in human-robot haptic interaction. Lower and higher stand for a strong and weak relationship to physical property of robot’s motion. We divide robot’s motions in haptic interaction into 16 basic motions. Through sensory evaluation and factor analysis, four lower impression factors and two higher impression factors are extracted. From the results of multiple regression analysis, we formulate the relationship between lower impression and higher impression.

Original languageEnglish
Title of host publicationProceedings of the 1st International Conference on Robot Communication and Coordination, RoboComm 2007
PublisherAssociation for Computing Machinery
ISBN (Electronic)9789639799080
DOIs
Publication statusPublished - 2007
Event1st International Conference on Robot Communication and Coordination, RoboComm 2007 - Athens, Greece
Duration: 2007 Oct 152007 Oct 17

Publication series

NameACM International Conference Proceeding Series

Conference

Conference1st International Conference on Robot Communication and Coordination, RoboComm 2007
Country/TerritoryGreece
CityAthens
Period07/10/1507/10/17

Keywords

  • factor analysis
  • haptic interaction
  • human-robot interation
  • multiple regression analysis
  • sensory evaluation

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'How Humans Evaluate the Impression when Interacting Haptically with a Robot'. Together they form a unique fingerprint.

Cite this