Dynamic information for the recognition of conversational expressions.

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.

journal_name

J Vis

journal_title

Journal of vision

authors

Cunningham DW,Wallraven C

doi

10.1167/9.13.7

subject

Has Abstract

pub_date

2009-12-07 00:00:00

pages

7.1-17

issue

13

issn

1534-7362

pii

9/13/7

journal_volume

9

pub_type

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