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Designing AI Agent’s Social Interaction Quality in AI-based Fitness Services as a Mediator
Archives of Design Research ; 35(3):145-157, 2022.
Article in En ko | Scopus | ID: covidwho-2030381
ABSTRACT
Background As the time and quality of physical activity of people decreased due to the COVID-19 pandemic, the wide social embracement created the need to use mobile-based fitness services. In particular, AI-based fitness services are becoming popular among users due to their various AI related functions that create synergy with on-devices, such as smartphones. However, while many studies on the technical aspects of AI-based fitness services are being conducted, studies on user experience are insufficient. This paper identifies the current situation of AI-based fitness services, explores user experience expectations of AI-based fitness services across the overall user journey, and extracts design insights through expert interviews. Based on the case study and interviews, design considerations for the AI-based fitness service were suggested. Methods This study mainly consists of two parts. By analyzing the case studies of the existing AI-based fitness service and their technical application, it was investigated whether the user experience can be improved by fully utilizing the AI function. Second, the capabilities of AI agents across the service journey were explored through user interviews, and the expert interview was conducted to support this. In order to increase the rigor of the interview analysis, a quantitative design process that protrudes statistically significant results was performed. Results After analyzing the three parts of this study, an AI-based fitness service user experience framework was derived and several design examples applied thereto were proposed. Before the users use the AI-based fitness service, tailored suggestions and precise analysis were considered important qualities of the AI agent. In the During phase, providing actionable feedback and offering data-based real time coaching was important. Reporting results helped users to set exercise plans and emotional support was important in the After phase. Conclusions This paper proposes a design strategy that can be helpful when designing various AI-based fitness services in the future by exploring the capabilities and user expectations of AI agents throughout the entire user journey of AI-based fitness services. In designing AI-based fitness services for health-related behavior changes of users, it is important to consider the user journey as a whole in the short term, However, it is also very important to consider the long-term evolutionary perspective between the user and the system. © This is an Open Access article distributed under the terms of the Creative Commons Attribution NonCommercial License (http//creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted educational and non-commercial use, provided the original work is properly cited.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: En ko Journal: Archives of Design Research Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: En ko Journal: Archives of Design Research Year: 2022 Document Type: Article