Kornfield Rachel, Mohr David C, Ranney Rachel, Lattie Emily G, Meyerhoff Jonah, Williams Joseph J, Reddy Madhu
Northwestern University, USA.
University of California, San Francisco, USA.
Proc ACM Hum Comput Interact. 2022 Apr;6(CSCW1). doi: 10.1145/3512946. Epub 2022 Apr 7.
Digital tools can support individuals managing mental health concerns, but delivering sufficiently engaging content is challenging. This paper seeks to clarify how individuals with mental health concerns can contribute content to improve push-based mental health messaging tools. We recruited crowdworkers with mental health symptoms to evaluate and revise expert-composed content for an automated messaging tool, and to generate new topics and messages. A second wave of crowdworkers evaluated expert and crowdsourced content. Crowdworkers generated topics for messages that had not been prioritized by experts, including self-care, positive thinking, inspiration, relaxation, and reassurance. Peer evaluators rated messages written by experts and peers similarly. Our findings also suggest the importance of personalization, particularly when content adaptation occurs over time as users interact with example messages. These findings demonstrate the potential of crowdsourcing for generating diverse and engaging content for push-based tools, and suggest the need to support users in meaningful content customization.
数字工具可以支持个人管理心理健康问题,但提供足够有吸引力的内容具有挑战性。本文旨在阐明有心理健康问题的个人如何贡献内容以改进基于推送的心理健康信息工具。我们招募了有心理健康症状的众包工人来评估和修订自动信息工具中专家撰写的内容,并生成新的主题和信息。第二批众包工人评估了专家内容和众包内容。众包工人为专家未优先考虑的信息生成了主题,包括自我护理、积极思考、灵感、放松和安心。同行评估者对专家和同行撰写的信息评分相近。我们的研究结果还表明了个性化的重要性,尤其是当随着用户与示例信息的交互,内容随时间进行调整时。这些研究结果证明了众包为基于推送的工具生成多样化且有吸引力的内容的潜力,并表明需要支持用户进行有意义的内容定制。