| Title: |
'I don't like my avatar': Investigating Human Digital Doubles |
| Authors: |
Liu, Siyi; Haque, Kazi Injamamul; Yumak, Zerrin; Sub Human-Centered Computing; Sumner, Robert W.; Zund, Fabio; Jorg, Sophie; Pelechano, Nuria |
| Publication Year: |
2025 |
| Subject Terms: |
animation realism; avatar familiarity; digital doubles; digital humans; identification; virtual avatars; Computer Science Applications; Human-Computer Interaction; Education |
| Description: |
Creating human digital doubles is becoming easier and much more accessible to everyone using consumer grade devices. In this work, we investigate how avatar style (realistic vs cartoon) and avatar familiarity (self, acquaintance, unknown person) affect self/other-identification, perceived realism, affinity and social presence with a controlled offline experiment. We created two styles of avatars (realistic-looking MetaHumans and cartoon-looking ReadyPlayerMe avatars) and facial animations stimuli for them using performance capture. Questionnaire responses demonstrate that higher appearance realism leads to a higher level of identification, perceived realism and social presence. However, avatars with familiar faces, especially those with high appearance realism, lead to a lower levels of identification, perceived realism, and affinity. Although participants identified their digital doubles as their own, they consistently did not like their avatars, especially of realistic appearance. But they were less critical and more forgiving about their acquaintance's or an unknown person's digital double. |
| Document Type: |
book part |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
https://dspace.library.uu.nl/handle/1874/483357 |
| Availability: |
https://dspace.library.uu.nl/handle/1874/483357 |
| Rights: |
info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.FAD957F2 |
| Database: |
BASE |