Evaluating Engagement in Digital Narratives from Facial Data

Huan, R. (2017) Evaluating Engagement in Digital Narratives from Facial Data. In: 19th ACM International Conference on Multimodal Interaction (ICMI 2017), Glasgow, Scotland, 13-17 Nov 2017, pp. 652-655. ISBN 9781450355438 (doi: 10.1145/3136755.3137036)

Abstract

Engagement researchers indicate that the engagement level of people in a narrative has an influence on people's subsequent story-related attitudes and beliefs, which helps psychologists understand people's social behaviours and personal experience. With the arrival of multimedia, the digital narrative combines multimedia features (e.g. varying images, music and voiceover) with traditional storytelling. Research on digital narratives has been widely used in helping students gain problem-solving and presentation skills as well as supporting child psychologists investigating children's social understanding such as family/peer relationships through completing their digital narratives. However, there is little study on the effect of multimedia features in digital narratives on the engagement level of people. This research focuses on measuring the levels of engagement of people in digital narratives and specifically on understanding the media effect of digital narratives on people's engagement levels. Measurement tools are developed and validated through analyses of facial data from different age groups (children and young adults) in watching stories with different media features of digital narratives. Data sources used in this research include a questionnaire with Smileyometer scale and the observation of each participant's facial behaviours.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Huan, Rui
• Authors: Huan, R.
• College/School: College of Science and Engineering
• Journal Name: Proceedings of the 19th ACM International Conference on Multimodal Interaction - ICMI 2017
• Publisher: ACM Press
• ISBN: 9781450355438