Saving Face in Front of the Computer? Culture and Attributions of Human Likeness Influence Users' Experience of Automatic Facial Emotion Recognition

In human-to-human contexts, display rules provide an empirically sound construct to explain intercultural differences in emotional expressivity. A very prominent finding in this regard is that cultures rooted in collectivism—such as China, South Korea, or Japan—uphold norms of emotional suppression,...

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Main Authors: Jan-Philipp Stein, Peter Ohler
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-07-01
Series:Frontiers in Digital Humanities
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fdigh.2018.00018/full
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spelling doaj-7eb41b6cfe6347d095ab012cd2a398192020-11-25T01:06:42ZengFrontiers Media S.A.Frontiers in Digital Humanities2297-26682018-07-01510.3389/fdigh.2018.00018365397Saving Face in Front of the Computer? Culture and Attributions of Human Likeness Influence Users' Experience of Automatic Facial Emotion RecognitionJan-Philipp SteinPeter OhlerIn human-to-human contexts, display rules provide an empirically sound construct to explain intercultural differences in emotional expressivity. A very prominent finding in this regard is that cultures rooted in collectivism—such as China, South Korea, or Japan—uphold norms of emotional suppression, contrasting with ideals of unfiltered self-expression found in several Western societies. However, other studies have shown that collectivistic cultures do not actually disregard the whole spectrum of emotional expression, but simply prefer displays of socially engaging emotions (e.g., trust, shame) over the more disengaging expressions favored by the West (e.g., pride, anger). Inspired by the constant advancement of affective technology, this study investigates if such cultural factors also influence how people experience being read by emotion-sensitive computers. In a laboratory experiment, we introduce 47 Chinese and 42 German participants to emotion recognition software, claiming that it would analyze their facial micro-expressions during a brief cognitive task. As we actually present standardized results (reporting either socially engaging or disengaging emotions), we manipulate participants' impression of having matched or violated culturally established display rules in a between-subject design. First, we observe a main effect of culture on the cardiovascular response to the digital recognition procedure: Whereas Chinese participants quickly return to their initial heart rate, German participants remain longer in an agitated state. A potential explanation for this—East Asians might be less stressed by sophisticated technology than people with a Western socialization—concurs with recent literature, highlighting different human uniqueness concepts across cultural borders. Indeed, while we find no cultural difference in subjective evaluations of the emotion-sensitive computer, a mediation analysis reveals a significant indirect effect from culture over perceived human likeness of the technology to its attractiveness. At the same time, violations of cultural display rules remain mostly irrelevant for participants' reaction; thus, we argue that inter-human norms for appropriate facial expressions might be loosened if faces are read by computers, at least in settings that are not associated with any social consequence.https://www.frontiersin.org/article/10.3389/fdigh.2018.00018/fulldisplay rulescollectivismemotional suppressionaffective computingAFERfacial emotion recognition
collection DOAJ
language English
format Article
sources DOAJ
author Jan-Philipp Stein
Peter Ohler
spellingShingle Jan-Philipp Stein
Peter Ohler
Saving Face in Front of the Computer? Culture and Attributions of Human Likeness Influence Users' Experience of Automatic Facial Emotion Recognition
Frontiers in Digital Humanities
display rules
collectivism
emotional suppression
affective computing
AFER
facial emotion recognition
author_facet Jan-Philipp Stein
Peter Ohler
author_sort Jan-Philipp Stein
title Saving Face in Front of the Computer? Culture and Attributions of Human Likeness Influence Users' Experience of Automatic Facial Emotion Recognition
title_short Saving Face in Front of the Computer? Culture and Attributions of Human Likeness Influence Users' Experience of Automatic Facial Emotion Recognition
title_full Saving Face in Front of the Computer? Culture and Attributions of Human Likeness Influence Users' Experience of Automatic Facial Emotion Recognition
title_fullStr Saving Face in Front of the Computer? Culture and Attributions of Human Likeness Influence Users' Experience of Automatic Facial Emotion Recognition
title_full_unstemmed Saving Face in Front of the Computer? Culture and Attributions of Human Likeness Influence Users' Experience of Automatic Facial Emotion Recognition
title_sort saving face in front of the computer? culture and attributions of human likeness influence users' experience of automatic facial emotion recognition
publisher Frontiers Media S.A.
series Frontiers in Digital Humanities
issn 2297-2668
publishDate 2018-07-01
description In human-to-human contexts, display rules provide an empirically sound construct to explain intercultural differences in emotional expressivity. A very prominent finding in this regard is that cultures rooted in collectivism—such as China, South Korea, or Japan—uphold norms of emotional suppression, contrasting with ideals of unfiltered self-expression found in several Western societies. However, other studies have shown that collectivistic cultures do not actually disregard the whole spectrum of emotional expression, but simply prefer displays of socially engaging emotions (e.g., trust, shame) over the more disengaging expressions favored by the West (e.g., pride, anger). Inspired by the constant advancement of affective technology, this study investigates if such cultural factors also influence how people experience being read by emotion-sensitive computers. In a laboratory experiment, we introduce 47 Chinese and 42 German participants to emotion recognition software, claiming that it would analyze their facial micro-expressions during a brief cognitive task. As we actually present standardized results (reporting either socially engaging or disengaging emotions), we manipulate participants' impression of having matched or violated culturally established display rules in a between-subject design. First, we observe a main effect of culture on the cardiovascular response to the digital recognition procedure: Whereas Chinese participants quickly return to their initial heart rate, German participants remain longer in an agitated state. A potential explanation for this—East Asians might be less stressed by sophisticated technology than people with a Western socialization—concurs with recent literature, highlighting different human uniqueness concepts across cultural borders. Indeed, while we find no cultural difference in subjective evaluations of the emotion-sensitive computer, a mediation analysis reveals a significant indirect effect from culture over perceived human likeness of the technology to its attractiveness. At the same time, violations of cultural display rules remain mostly irrelevant for participants' reaction; thus, we argue that inter-human norms for appropriate facial expressions might be loosened if faces are read by computers, at least in settings that are not associated with any social consequence.
topic display rules
collectivism
emotional suppression
affective computing
AFER
facial emotion recognition
url https://www.frontiersin.org/article/10.3389/fdigh.2018.00018/full
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