Towards Design Guidelines for Effective Health-Related Data Videos: An Empirical Investigation of Affect, Personality, and Video Content

要旨

Data Videos (DVs), or animated infographics that tell stories with data, are becoming increasingly popular. Despite their potential to induce attitude change, little is explored about how to produce effective DVs. This paper describes two studies that explored factors linked to the potential of health DVs to improve viewers' behavioural change intentions. We investigated: 1) how viewers' affect is linked to their behavioural change intentions; 2) how these affect are linked to the viewers' personality traits; 3) which attributes of DVs are linked to their persuasive potential. Results from both studies indicated that viewers' negative affect lowered their behavioural change intentions. Individuals with higher neuroticism exhibited higher negative affect and were harder to convince. Finally, Study 2 proved that providing any solutions to the health problem, presented in the DV, made the viewers perceive the videos as more actionable while lowering their negative affect, and importantly, induced higher behavioural change intentions.

著者
Samar Sallam
University of Manitoba, Winnipeg, Manitoba, Canada
Yumiko Sakamoto
University of Manitoba, Winnipeg, Manitoba, Canada
Jason Leboe-McGowan
University of Manitoba, Winnipeg, Manitoba, Canada
Celine Latulipe
University of Manitoba, Winnipeg, Manitoba, Canada
Pourang Irani
University of British Columbia (Okanagan), Kelowna, British Columbia, Canada
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3517727

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Health, Medicine, and Therapy

292
5 件の発表
2022-05-04 01:15:00
2022-05-04 02:30:00