Author:
Abbas Tahir,Khan Vassilis-Javed,Gadiraju Ujwal,Markopoulos Panos
Abstract
On-demand emotional support is an expensive and elusive societal need that is exacerbated in difficult times — as witnessed during the COVID-19 pandemic. Prior work in affective crowdsourcing has examined ways to overcome technical challenges for providing on-demand emotional support to end users. This can be achieved by training crowd workers to provide thoughtful and engaging on-demand emotional support. Inspired by recent advances in conversational user interface research, we investigate the efficacy of a conversational user interface for training workers to deliver psychological support to users in need. To this end, we conducted a between-subjects experimental study on Prolific, wherein a group of workers (N=200) received training on motivational interviewing via either a conversational interface or a conventional web interface. Our results indicate that training workers in a conversational interface yields both better worker performance and improves their user experience in on-demand stress management tasks.
Publisher
Association for the Advancement of Artificial Intelligence (AAAI)
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. DECI: The 2nd Tutorial on Designing Effective Conversational Interfaces;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27
2. "Are we all in the same boat?" Customizable and Evolving Avatars to Improve Worker Engagement and Foster a Sense of Community in Online Crowd Work;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11
3. ContextBot;Proceedings of the 34th ACM Conference on Hypertext and Social Media;2023-09-04
4. DECI: A Tutorial on Designing Effective Conversational Interfaces;28th International Conference on Intelligent User Interfaces;2023-03-27
5. Understanding User Perceptions of Response Delays in Crowd-Powered Conversational Systems;Proceedings of the ACM on Human-Computer Interaction;2022-11-07