Paper Info
Title
Comparing Methods for Mapping Facial Expressions to Enhance Immersive Collaboration with Signs of Emotion
Abstract
We present a user study comparing a pre-evaluated mapping approach with a state-of-the-art direct mapping method of facial expressions for emotion judgment in an immersive setting. At its heart, the pre-evaluated approach leverages semiotics, a theory used in linguistic. In doing so, we want to compare pre-evaluation with an approach that seeks to directly map real facial expressions onto their virtual counterparts. To evaluate both approaches, we conduct a controlled lab study with 22 participants. The results show that users are significantly more accurate in judging virtual facial expressions with pre-evaluated mapping. Additionally, participants were slightly more confident when deciding on a presented emotion. We could not find any differences regarding potential Uncanny Valley effects. However, the pre-evaluated mapping shows potential to be more convenient in a conversational scenario.
Year
DOI
Venue
2020
10.1109/ISMAR-Adjunct51615.2020.00023
2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
Keywords
DocType
ISBN
Human-centered computing [Visualization]: Visualization system and tools,Visualization design and evaluation methods,Human-centered computing [Collaborative and social computing]: Collaborative and social computing systems and tools
Conference
978-1-7281-7676-5
Citations 
PageRank 
References 
0
0.34
12
Authors
5
Name
Order
Citations
PageRank
Natalie Hube100.34
Oliver Lenz200.34
Lars Engeln302.03
Rainer Groh415046.73
Michael Sedlmair591551.74