Pupillometry for Measuring User Response to Movement of an Industrial Robot
Type
conference contribution
Date Issued
2023-05-30
Author(s)
Abstract
Interactive systems can adapt to individual users to increase productivity, safety, or acceptance. Previous research focused on different factors, such as cognitive workload (CWL), to better understand and improve the human-computer or human-robot interaction (HRI). We present results of an HRI experiment that uses pupillometry to measure users' responses to robot movements. Our results demonstrate a significant change in pupil dilation, indicating higher CWL, as a result of increased movement speed of an articulated robot arm. This might permit improved interaction ergonomics by adapting the behavior of robots or other devices to individual users at run time. CCS CONCEPTS • Human-centered computing → Ubiquitous and mobile computing systems and tools.
Language
English (United States)
Keywords
pervasive eye tracking
human-robot interaction
pupil dilation
cognitive workload
eye tracking
Event Title
ACM Symposium on Eye Tracking Research & Applications (ETRA)
Event Location
Tübingen
Event Date
May 30 - June 02, 2023
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
Name
Hostettler_et_al_ETRA23_.pdf
Size
5.5 MB
Format
Adobe PDF
Checksum (MD5)
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