dc.contributor.author | Mc Donnell, Rachel | |
dc.date.accessioned | 2022-05-06T14:46:02Z | |
dc.date.available | 2022-05-06T14:46:02Z | |
dc.date.issued | 2021 | |
dc.date.submitted | 2021 | en |
dc.identifier.citation | Darragh Higgins, Donal Egan, Rebecca Fribourg, Benjamin Cowan, Rachel McDonnell, Ascending from the valley: Can state-of-the-art photorealism avoid the uncanny?, SAP '21: ACM Symposium on Applied Perception 2021 | en |
dc.identifier.other | Y | |
dc.description | PUBLISHED | en |
dc.description.abstract | Advancements in real-time rendering technology have continued
to develop rapidly over the course of the last decade. Consequently,
human likenesses have been represented virtually with increasingly
impressive detail. There is evidence that this increased resemblance
to real humans has an observable and wide-ranging set of effects
on human perception, cognition and action in situations that in volve digital characters. Studies that seek to advance the science of
synthetic animated people have consistently aimed to measure and
quantify changes in perceived emotional content mediated through
artificial human likenesses | en |
dc.language.iso | en | en |
dc.relation.ispartofseries | SAP '21 Proceedings of the ACM Symposium on Applied Perception; | |
dc.rights | Y | en |
dc.subject | real-time rendering technology | en |
dc.subject | digital characters | en |
dc.subject | virtual humans | en |
dc.subject | Network reliability | en |
dc.subject | Embedded systems | en |
dc.subject | Robotics | en |
dc.subject | Redundancy | en |
dc.title | Ascending from the valley: Can state-of-the-art photorealism avoid the uncanny? | en |
dc.type | Conference Paper | en |
dc.type.supercollection | scholarly_publications | en |
dc.type.supercollection | refereed_publications | en |
dc.identifier.peoplefinderurl | http://people.tcd.ie/ramcdonn | |
dc.identifier.rssinternalid | 236966 | |
dc.identifier.doi | http://dx.doi.org/10.1145/3474451.3476242 | |
dc.rights.ecaccessrights | openAccess | |
dc.identifier.orcid_id | 0000-0002-1957-2506 | |
dc.identifier.uri | http://hdl.handle.net/2262/98548 | |