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Quantitative measurement of tool embodiment for virtual reality input alternatives

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chi19b_sub1227_cam_i16.pdf (3.026Mb)
Date
18/04/2019
Author
Alzayat, Ayman
Hancock, Mark
Nacenta, Miguel
Keywords
Embodiment
Tool embodiment
Embodied interaction
Virtual reality
Ready-to-hand
Unready-to-hand
Tools
QA75 Electronic computers. Computer science
T Technology
DAS
Metadata
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Abstract
Virtual reality (VR) strives to replicate the sensation of the physical environment by mimicking people’s perceptions and experience of being elsewhere. These experiences are often mediated by the objects and tools we interact with in the virtual world (e.g., a controller). Evidence from psychology posits that when using the tool proficiently, it becomes embodied (i.e., an extension of one’s body). There is little work, however, on how to measure this phenomenon in VR, and on how different types of tools and controllers can affect the experience of interaction. In this work, we leverage cognitive psychology and philosophy literature to construct the Locus-of-Attention Index (LAI), a measure of tool embodiment. We designed and conducted a study that measures readiness-to-hand and unreadiness-to-hand for three VR interaction techniques: hands, a physical tool, and a VR controller. The study shows that LAI can measure differences in embodiment with working and broken tools and that using the hand directly results in more embodiment than using controllers.
Citation
Alzayat , A , Hancock , M & Nacenta , M 2019 , Quantitative measurement of tool embodiment for virtual reality input alternatives . in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI'19) . , 443 , ACM , New York , ACM Conference on Human Factors in Computing Systems 2019 , Glasgow , United Kingdom , 4/05/19 . https://doi.org/10.1145/3290605.3300673
 
conference
 
Publication
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI'19)
DOI
https://doi.org/10.1145/3290605.3300673
Type
Conference item
Rights
© 2019, the Author(s). This work has been made available online in accordance with the publisher's policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1145/3290605.3300673
Description
Funding: Ontario Ministry of Research and Innovation and Science and the Natural Sciences and Engineering Research Council of Canada for funding.
Collections
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/17643

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