Designing Persuasive Food Conversational Recommender Systems With Nudging and Socially-Aware Conversational Strategies.

ABSTRACT: Unhealthy eating behavior is a major public health issue with serious repercussions on an individual's health. One potential solution to overcome this problem, and help people change their eating behavior, is to develop conversational systems able to recommend healthy recipes. One challenge for such systems is to deliver personalized recommendations matching users' needs and preferences. Beyond the intrinsic quality of the recommendation itself, various factors might also influence users' perception of a recommendation. In this paper, we present Cora, a conversational system that recommends recipes aligned with its users' eating habits and current preferences. Users can interact with Cora in two different ways. They can select pre-defined answers by clicking on buttons to talk to Cora or w

SUBMITTER: Pecune F 

PROVIDER: S-EPMC8807554 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature