Title
Towards Emotionally Intelligent Machines: Taking Social Contexts into Account.
Abstract
Emotion is considered a critical component in human computer interaction and intelligent interfaces. However, the social context in which the emotion is manifested is rarely taken into account. In this paper, we present a set of two empirical studies, taking a social network perspective to examine the contextual effect on emotional expression. In study 1, we conducted a scenario-based experiment to examine people's intention to express in social networks with different structural properties. Study 2 investigated the actual expression on Facebook, and the roles of social network structure and personality traits play in the process. Altogether, it is found that an individual's tendency for expressing positive emotions and negative emotions is affected by the size and density of the social network he/she belongs to, and the effects vary with individual personality traits. Drawing on these findings, we propose to add the role of social context into existing emotion models, the context profile can be defined by each individual's social network structure. For different personality traits, the weightage of social context on the outcome expression will be adjusted accordingly. Implications on human-centered design are discussed.
Year
DOI
Venue
2016
10.1007/978-3-319-39910-2_2
Lecture Notes in Computer Science
Keywords
Field
DocType
Emotion,Social network,Personality,Facebook
Social environment,Big Five personality traits,Internet privacy,Social network,Computer science,Cognitive psychology,Emotional expression,Empirical research,Personality
Conference
Volume
ISSN
Citations 
9742
0302-9743
2
PageRank 
References 
Authors
0.35
23
4
Name
Order
Citations
PageRank
Han Lin191.42
Han Yu226115.31
Chunyan Miao32307195.72
Lin Qiu4543.82