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

Citations

SCOPUS

4

초록

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.

키워드

Human-robot InteractionNonlinguistic-functional messageSound DesignAmbient intelligenceArtificial intelligenceBehavioral researchIntelligent robotsMachine designMan machine systemsRobotsEfficient communicationsEmotional informationMovie scenesMulti-layeredNonlinguistic-functional messageScience fictionsSound designsHuman robot interaction
제목
Exploring the taxonomie and associative link between emotion and function for robot sound design
저자
Jeong, Eun JuKwon, Gyu HyunSo, Jun Seop
DOI
10.1109/URAI.2017.7992692
발행일
2017-07
유형
Conference Paper
저널명
2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
페이지
641 ~ 643