Why are You Blinking at Me? Exploring Users’ Understanding of Robotic Status Indicators

E. Liberman-Pincu, S. Honig, T. Oron-Gilad

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

Abstract

User Confusion leads to misunderstandings about the robot or the situation, and influences customer satisfaction. This study evaluates users’ understanding of commercially available robot statuses presented by LED indicators. Images and videos of indicators of nine robots were taken from manufacturers’ websites and were manipulated to assess how specific visual qualities of indicators, color, and animation, affect users. One hundred and forty-seven respondents participated in an online study. They were asked to: 1) select the animation that best fits a given status description, 2) rank the compatibility between an indicator and a written status description, and 3) select the status description that best fits a given animation. Results indicated that, in most cases, the manufacturers’ intention was not well understood by respondents. Understandability was affected by the indicator’s visual qualities and status prevalence. Recommendations and gaps are detailed.

Original languageEnglish
Title of host publicationComputer-Human Interaction Research and Applications - 7th International Conference, CHIRA 2023, Proceedings
EditorsHugo Plácido da Silva, Hugo Plácido da Silva, Pietro Cipresso
PublisherSpringer Science and Business Media Deutschland GmbH
Pages282-294
Number of pages13
ISBN (Print)9783031494246
DOIs
StatePublished - 1 Jan 2023
Event7th International Conference on Computer-Human Interaction Research and Applications, CHIRA 2023 - Rome, Italy
Duration: 16 Nov 202317 Nov 2023

Publication series

NameCommunications in Computer and Information Science
Volume1996 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference7th International Conference on Computer-Human Interaction Research and Applications, CHIRA 2023
Country/TerritoryItaly
CityRome
Period16/11/2317/11/23

Keywords

  • Human-robot interaction
  • Light Signals
  • Understandability

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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