The Impact of Prediction Uncertainty in Recommendations for Health-Related Behavior

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. CCS CONCEPTS •Human-centered computing→ User interface design; User studies; Empirical studies in visualization;