HCI International 2016
Toronto, Canada, 17 - 22 July 2016
The Westin Harbour Castle Hotel
Navigation Menu

Social Computing and Social Media Best Paper Award

Social Computing and Social Media Best Paper Award. Details in text following the image.

Best Paper Award for the 8th International Conference on Social Computing and Social Media, in the context of HCI International 2016, 17 - 22 July 2016, Toronto, Canada

 

Certificate for best paper award of the 8th International Conference on Social Computing and Social Media. Details in text following the image

Certificate for Best Paper Award of the 8th International Conference on Social Computing and Social Media
conferred to

Han Lin (Institute of High Performance Computing, Agency for Science, Technology and
Research (A*STAR) and NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY),
Nanyang Technological University, Singapore), Han Yu, Chunyan Miao (NTU-UBC Research Centre
of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore)
and Lin Qiu (Nanyang Technological University, Singapore)


for the paper entitled

"Towards Emotionally Intelligent Machines: Taking Social Contexts into Account"

Presented in the context of
HCI International 2016
17 - 22 July 2016, Toronto, Canada

Paper 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."

The full paper is available through SpringerLink, provided that you have proper access rights.

follow us Icon Link: Follow us on Facebook Icon Link: Follow us on Twitter Icon Link: Join us on linkedin
Last revision date: May 1, 2017 by web@hcii2016.org