Herrmanny, Katja; Dogangün, Aysegül:
The impact of prediction uncertainty in recommendations for health-related behavior
In: Health Recommender Systems / Elsweiler, David; Hors-Fraile, Santiago (Hrsg.). - 2nd International Workshop on Health Recommender Systems (HealthRecSys 2017), 31 August 2017, Como, Italy - Aachen: RWTH Aachen, 2017 - (CEUR Workshop Proceedings ; 1953), S. 14 - 17
2017Buchaufsatz/Kapitel in TagungsbandOA Gold
InformatikFakultät für Ingenieurwissenschaften » Informatik und Angewandte Kognitionswissenschaft » Informatik » Medieninformatik - Entertainment ComputingFakultät für Ingenieurwissenschaften » Informatik und Angewandte Kognitionswissenschaft » Informatik » Interaktive Systeme / Interaktionsdesign
Titel in Englisch:
The impact of prediction uncertainty in recommendations for health-related behavior
Autor*in:
Herrmanny, KatjaUDE
LSF ID
54788
Sonstiges
der Hochschule zugeordnete*r Autor*in
;
Dogangün, AysegülUDE
LSF ID
57352
Sonstiges
der Hochschule zugeordnete*r Autor*in
Erscheinungsjahr:
2017
Open Access?:
OA Gold
Scopus ID
Notiz:
OA platinum
Sprache des Textes:
Englisch
Schlagwort, Thema:
Behavior change ; Health ; Recommender systems ; Reflection ; Uncertainty

Abstract in Englisch:

In the light of the characteristics of health behavior recommendations, we discuss implications of recommendation uncertainty from a practical and ethical point of view. Considering problem complexity and data structure as well as security and autonomy aspects, we demonstrate the importance of user empowerment, fostering reflection of the recommendations and of integrating the user into the loop. In a preliminary empirical analysis, we show that presenting uncertainty to the user might help the user to reflect the recommendation and integrate him into the loop. Moreover, it might increase trust, perceived transparency, system responsibility, and overall user satisfaction.