TY - GEN
T1 - Why are You Blinking at Me? Exploring Users’ Understanding of Robotic Status Indicators
AU - Liberman-Pincu, E.
AU - Honig, S.
AU - Oron-Gilad, T.
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - 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.
AB - 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.
KW - Human-robot interaction
KW - Light Signals
KW - Understandability
UR - http://www.scopus.com/inward/record.url?scp=85180766340&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-49425-3_17
DO - 10.1007/978-3-031-49425-3_17
M3 - Conference contribution
AN - SCOPUS:85180766340
SN - 9783031494246
T3 - Communications in Computer and Information Science
SP - 282
EP - 294
BT - Computer-Human Interaction Research and Applications - 7th International Conference, CHIRA 2023, Proceedings
A2 - da Silva, Hugo Plácido
A2 - da Silva, Hugo Plácido
A2 - Cipresso, Pietro
PB - Springer Science and Business Media Deutschland GmbH
T2 - 7th International Conference on Computer-Human Interaction Research and Applications, CHIRA 2023
Y2 - 16 November 2023 through 17 November 2023
ER -