Image-based Emotion Feedback: How Does the Crowd Feel? And Why?

Robb, David A.; Padilla, Stefano; Methven, Thomas S.; Kalkreuter, Britta; Chantler, Mike J.

Abstract

In previous work we developed a method for interior designers to receive image-based feedback about a crowd’s emotions when viewing their designs. Although the designers clearly desired a service which provided the new style of feedback, we wanted to find out if an internet crowd would enjoy, and become engaged in, giving emotion feedback this way. In this paper, through a mixed methods study, we expose whether and why internet users enjoy giving emotion feedback using images compared to responding with text. We measured the participants’ cognitive styles and found that they correlate with the reported utility and engagement of using images. Those more visual than they are verbal were more engaged by using images to express emotion compared to text. Enlightening qualitative insights reveal, surprisingly, that half of our participants have an appetite for expressing emotions this way, value engagement over clarity, and would use images for emotion feedback in contexts other than design feedback.

Citation

Robb, D. A., Padilla, S., Methven, T. S., Kalkreuter, B., & Chantler, M. J. (2017). Image-based Emotion Feedback: How Does the Crowd Feel? And Why?. In DIS '17 Proceedings of the 2017 Conference on Designing Interactive Systems (451-463). https://doi.org/10.1145/3064663.3064665

• Conference Name: 2017 Conference on Designing Interactive Systems
• Conference Location: Edinburgh, United Kingdom
• Start Date: Jun 10, 2017
• End Date: Jun 14, 2017
• Acceptance Date: Jun 10, 2017
• Publication Date: Jun 10, 2017
• Deposit Date: Oct 23, 2018
• Publicly Available Date: Oct 24, 2018
• Publisher: Association for Computing Machinery (ACM)
• Pages: 451-463
• Book Title: DIS '17 Proceedings of the 2017 Conference on Designing Interactive Systems
• ISBN: 9781450349222
• DOI: https://doi.org/10.1145/3064663.3064665
• Keywords: Cognitive styles; affective computing; creativity; design feedback; crowdsourcing; perceptual and emotional feedback; image summarization
• Public URL: http://researchrepository.napier.ac.uk/Output/1320968