Abstract
Communication is critical for normal, everyday life. During a conversation, information is conveyed in a number of ways, including through body, head, and facial changes. While much research has examined these latter forms of communication, the majority of it has focused on static representations of a few, supposedly universal expressions. Normal conversations, however, contain a very wide variety of expressions and are rarely, if ever, static. Here, we report several experiments that show that expressions that use head, eye, and internal facial motion are recognized more easily and accurately than static versions of those expressions. Moreover, we demonstrate conclusively that this dynamic advantage is due to information that is only available over time, and that the temporal integration window for this information is at least 100 ms long.
| Original language | English |
|---|---|
| Pages (from-to) | 1-17 |
| Number of pages | 17 |
| Journal | Journal of Vision |
| Volume | 9 |
| Issue number | 13 |
| DOIs | |
| Publication status | Published - 2009 Dec 1 |
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Keywords
- Communication
- Dynamic information
- Facial expressions
- Perception
ASJC Scopus subject areas
- Ophthalmology
- Sensory Systems
Cite this
Dynamic information for the recognition of conversational expressions. / Cunningham, Douglas W.; Wallraven, Christian.
In: Journal of Vision, Vol. 9, No. 13, 01.12.2009, p. 1-17.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Dynamic information for the recognition of conversational expressions
AU - Cunningham, Douglas W.
AU - Wallraven, Christian
PY - 2009/12/1
Y1 - 2009/12/1
N2 - Communication is critical for normal, everyday life. During a conversation, information is conveyed in a number of ways, including through body, head, and facial changes. While much research has examined these latter forms of communication, the majority of it has focused on static representations of a few, supposedly universal expressions. Normal conversations, however, contain a very wide variety of expressions and are rarely, if ever, static. Here, we report several experiments that show that expressions that use head, eye, and internal facial motion are recognized more easily and accurately than static versions of those expressions. Moreover, we demonstrate conclusively that this dynamic advantage is due to information that is only available over time, and that the temporal integration window for this information is at least 100 ms long.
AB - Communication is critical for normal, everyday life. During a conversation, information is conveyed in a number of ways, including through body, head, and facial changes. While much research has examined these latter forms of communication, the majority of it has focused on static representations of a few, supposedly universal expressions. Normal conversations, however, contain a very wide variety of expressions and are rarely, if ever, static. Here, we report several experiments that show that expressions that use head, eye, and internal facial motion are recognized more easily and accurately than static versions of those expressions. Moreover, we demonstrate conclusively that this dynamic advantage is due to information that is only available over time, and that the temporal integration window for this information is at least 100 ms long.
KW - Communication
KW - Dynamic information
KW - Facial expressions
KW - Perception
UR - http://www.scopus.com/inward/record.url?scp=77950361833&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77950361833&partnerID=8YFLogxK
U2 - 10.1167/9.13.1
DO - 10.1167/9.13.1
M3 - Article
C2 - 20055540
AN - SCOPUS:77950361833
VL - 9
SP - 1
EP - 17
JO - Journal of Vision
JF - Journal of Vision
SN - 1534-7362
IS - 13
ER -