Exploring the taxonomie and associative link between emotion and function for robot sound design

Eunju Jeong, Gyu Hyun Kwon, Junseop So

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Sound is a medium that conveys functional and emotional information in a form of multilayered streams. With the use of such advantage, robot sound design can open a way for being more efficient communication in human-robot interaction. As the first step of research, we examined how individuals perceived the functional and emotional intention of robot sounds and whether the perceived information from sound is associated with their previous experience with science fiction movies. The sound clips were selected based on the context of the movie scene (i.e., Wall-E, R2-D2, BB8, Transformer) and classified as functional (i.e., platform, monitoring, alerting, feedback) and emotional (i.e., positive, neutral, negative). A total of 12 participants were asked to identify the perceived properties for each of the 30 items. We found that the perceived emotional and functional messages varied from those originally intended and differed by previous experience.

Original languageEnglish
Title of host publication2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages641-643
Number of pages3
ISBN (Electronic)9781509030552
DOIs
StatePublished - 25 Jul 2017
Event14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 - Jeju, Korea, Republic of
Duration: 28 Jun 20171 Jul 2017

Publication series

Name2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017

Conference

Conference14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
Country/TerritoryKorea, Republic of
CityJeju
Period28/06/171/07/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Human-robot Interaction
  • Nonlinguistic-functional message
  • Sound Design

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