TY - GEN
T1 - Towards a user integration framework for personal health decision support and recommender systems
AU - Herrmanny, Katja
AU - Torkamaan, Helma
PY - 2021
Y1 - 2021
N2 - Supporting personal health with Decision Support Systems (DSS) and, specifically, recommender systems (RS) is a promising and growing area of research. Integrating the user in the loop is vital in such health systems due to the complexity of recommendations, gravity of the decisions and the reliance on user autonomy. However, for such a purpose, to the best of our knowledge there exists no profound or comprehensive framework nor model to guide system designers, to exploit the full potential of integrating users in the system's reasoning process by design. In this paper, we present a multifaceted user integration framework in personal health-related DSS and RS. This framework, with three main components, has been derived from an iterative mixed-methods development and evaluation procedure, including expert workshops and extensive multidisciplinary literature reviews. Users are accordingly integrated into the whole process from system reasoning until decision making through the following actionable design strategies: (1) Empower: Enabling them to understand the result generation and implications, (2) Encourage: encouraging them to question and reflect system outcomes and to get involved in the generation process and (3) Engage: enabling them to take an active role by facilitating and providing opportunities for user control. The framework offers support to designers of personal health-related DSS and RS in properly integrating users into their systems.
AB - Supporting personal health with Decision Support Systems (DSS) and, specifically, recommender systems (RS) is a promising and growing area of research. Integrating the user in the loop is vital in such health systems due to the complexity of recommendations, gravity of the decisions and the reliance on user autonomy. However, for such a purpose, to the best of our knowledge there exists no profound or comprehensive framework nor model to guide system designers, to exploit the full potential of integrating users in the system's reasoning process by design. In this paper, we present a multifaceted user integration framework in personal health-related DSS and RS. This framework, with three main components, has been derived from an iterative mixed-methods development and evaluation procedure, including expert workshops and extensive multidisciplinary literature reviews. Users are accordingly integrated into the whole process from system reasoning until decision making through the following actionable design strategies: (1) Empower: Enabling them to understand the result generation and implications, (2) Encourage: encouraging them to question and reflect system outcomes and to get involved in the generation process and (3) Engage: enabling them to take an active role by facilitating and providing opportunities for user control. The framework offers support to designers of personal health-related DSS and RS in properly integrating users into their systems.
KW - Decision support system
KW - Design framwork
KW - Health recommender systems
KW - User in the loop
KW - User integration
UR - http://www.scopus.com/inward/record.url?scp=85109546473&partnerID=8YFLogxK
U2 - 10.1145/3450613.3456816
DO - 10.1145/3450613.3456816
M3 - Conference contribution
AN - SCOPUS:85109546473
T3 - UMAP 2021 - Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization
SP - 65
EP - 76
BT - UMAP 2021 - Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization
PB - Association for Computing Machinery (ACM)
T2 - 29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021
Y2 - 21 June 2020 through 25 June 2020
ER -