| Literature DB >> 32308822 |
Eun Kyoung Choe1, Yumiko Sakamoto2, Yanis Fatmi3, Bongshin Lee4, Christophe Hurter3, Ashkan Haghshenas2, Pourang Irani2.
Abstract
Self-tracking feedback with engaging and persuasive visualizations not only helps convey data but can also affect people's attitudes and behaviors. We investigate persuasive self-tracking feedback by augmenting data videos (DVs)-novel, engaging storytelling media. We introduce a new class of DVs, called Persuasive Data Videos (PDVs), by incorporating four persuasive elements-primary task, dialogue, system credibility, and social supports-drawn from the Persuasive System Design Model. We describe the iterative design of PDVs and a within-subjects preliminary validation to check their persuasive potential. We then assess PDVs' feasibility using the Persuasive Potential Questionnaire in a between-subjects study comparing a PDV against a conventional DV on Amazon Mechanical Turk (N = 252). Our results indicate the feasibility of using PDVs in providing individuals' self-tracking feedback to convey persuasive health messages, based on which we discuss opportunities for designing persuasive behavioral feedback in an engaging way. ©2019 AMIA - All rights reserved.Entities:
Year: 2020 PMID: 32308822 PMCID: PMC7153086
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN: 1559-4076