Mapping Beyond the Uncanny Valley: A Delphi Study on Aiding Adoption of Realistic Digital Faces

dc.contributor.authorSeymour, Mike
dc.contributor.authorRiemer, Kai
dc.contributor.authorKay, Judy
dc.date.accessioned2019-01-03T00:30:47Z
dc.date.available2019-01-03T00:30:47Z
dc.date.issued2019-01-08
dc.description.abstractDevelopers and HCI researchers have long strived to create digital agents that are more realistic. Voice-only versions are now common, but there has been a lack of visually realistic agents. A key barrier is the “Uncanny Valley”, referring to aversion being triggered if agents are not quite realistic. To gain understanding of the challenges of the Uncanny Valley in creating realistic agents, we conducted a Delphi study. For the Delphi panel, we recruited 13 leading international experts in the area of digital humans. They participated in three rounds of qualitative interviews. We aimed to transfer their knowledge from the entertainment industry to HCI researchers. Our findings include the unexpected conclusion that the panel considered the challenges of final rendering was not a key problem. Instead, modeling and rigging were highlighted, and a new dimension of interactivity was revealed as important. Our results provide a set of research directions for those engaged in HCI-oriented information systems using realistic digital humans.
dc.format.extent11 pages
dc.identifier.doi10.24251/HICSS.2019.577
dc.identifier.isbn978-0-9981331-2-6
dc.identifier.urihttp://hdl.handle.net/10125/59916
dc.language.isoeng
dc.relation.ispartofProceedings of the 52nd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectHuman-Computer Interaction in the Digital Economy
dc.subjectInternet and the Digital Economy
dc.subjectAvatars, Intelligent Virtual Agent, Uncanny Valley, Digital Humans
dc.titleMapping Beyond the Uncanny Valley: A Delphi Study on Aiding Adoption of Realistic Digital Faces
dc.typeConference Paper
dc.type.dcmiText

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