Herrmanny, Katja; Dogangün, Aysegül:
The impact of prediction uncertainty in recommendations for health-related behavior
In: Health Recommender Systems / Elsweiler, David; Hors-Fraile, Santiago (Eds.). - 2nd International Workshop on Health Recommender Systems (HealthRecSys 2017), 31 August 2017, Como, Italy - Aachen: RWTH Aachen, 2017 - (CEUR Workshop Proceedings ; 1953), pp. 14 - 17
2017book article/chapter in ProceedingsOA Gold
Computer ScienceFaculty of Engineering » Computer Science and Applied Cognitive Science
Title in English:
The impact of prediction uncertainty in recommendations for health-related behavior
Author:
Herrmanny, KatjaSCOPUSLSF; Dogangün, AysegülSCOPUSLSF
Year of publication:
2017
Open Access?:
OA Gold
Scopus ID:
Note::
OA platinum
Language of text:
English
Keyword, Topic:
Behavior change ; Health ; Recommender systems ; Reflection ; Uncertainty

Abstract in English:

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.