Investigating the effects of gain and loss of esteem on human-robot interaction

Takanori Komatsu, Hideaki Kaneko, Takashi Komeda

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

1 Citation (Scopus)

Abstract

The purpose of this study was to investigate the relationship between the robot's static and dynamic design experimentally, and to compare the results of this experiment with the findings of the gain and loss of esteem. Here, the static design is about the appearance or configuration of the robot, and the dynamic design is about the trajectories, behaviors of the robot and achievement level of the given tasks. The results showed that the static design did not have effects on the participants' impressions, but the dynamic design did have strong effects on their impressions.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages87-94
Number of pages8
Volume5744 LNCS
DOIs
Publication statusPublished - 2009
EventFIRA RoboWorld Congress 2009 - Incheon
Duration: 2009 Aug 162009 Aug 20

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5744 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherFIRA RoboWorld Congress 2009
CityIncheon
Period09/8/1609/8/20

Fingerprint

Human robot interaction
Robots
Trajectories
Experiments

Keywords

  • Gain and loss of esteem
  • Static/dynamic design
  • Verbal instruction

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Komatsu, T., Kaneko, H., & Komeda, T. (2009). Investigating the effects of gain and loss of esteem on human-robot interaction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5744 LNCS, pp. 87-94). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5744 LNCS). https://doi.org/10.1007/978-3-642-03983-6_13

Investigating the effects of gain and loss of esteem on human-robot interaction. / Komatsu, Takanori; Kaneko, Hideaki; Komeda, Takashi.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5744 LNCS 2009. p. 87-94 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5744 LNCS).

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

Komatsu, T, Kaneko, H & Komeda, T 2009, Investigating the effects of gain and loss of esteem on human-robot interaction. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5744 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5744 LNCS, pp. 87-94, FIRA RoboWorld Congress 2009, Incheon, 09/8/16. https://doi.org/10.1007/978-3-642-03983-6_13
Komatsu T, Kaneko H, Komeda T. Investigating the effects of gain and loss of esteem on human-robot interaction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5744 LNCS. 2009. p. 87-94. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-03983-6_13
Komatsu, Takanori ; Kaneko, Hideaki ; Komeda, Takashi. / Investigating the effects of gain and loss of esteem on human-robot interaction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5744 LNCS 2009. pp. 87-94 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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