Applying Emotion Detection and Social Incentive Mechanism to Develop a Cloud Congregate Meal Service Social Network Platform for the Elderly: a Case Study of Elderly Mood Canteen

The proposal aims to develop a new congregate meal service model and a mobile social network platform to provide the elderly with emotion adjustment by the emotional healing recommender, promote social interaction between friends and relatives through sharing emotional foods and cuisines, and to enhance healthy diet and mental welfare by applying social incentive mechanism to match ideal candidates to dine together. In the aspect of individual emotion detecting and mood recipe recommending mobile service, the proposal is based on the emotion recognition system and the complementary theory of emotion, which allows us to create a food sharing social service model and develop a mobile application that detect user’s emotion and provides suitable mood recipes to meet the user’s needs. On the other hand, the sharing table and dietary social incentive mechanism service adopts the social connection theory as a filtering criterion, to derive a quantitative formula for congregate meal, food interest, and dietary social index for the sharing table service and facilitate suitable people to eat together. At last, in the field of mobile application usability assessment and service model verification, the proposal evaluates the usability of mobile application system based on the Heuristic evaluation (SMASH: A set of Smart Phone's Usability Heuristics). In terms of service model verification, the proposal uses the Technology Acceptance Model (TAM) as a research framework to explore the user's attitude and intention of using the technology and to verify the feasibility of the proposed service model.

Project ID:PB10708-1244
External Project ID:MOST107-2221-E182-055