A core aspect of the project is its execution by an iterative development process supporting co-design and co-creation. This will enhance the end-user’s/older person’s capacity to understand the possibilities of the system and discuss these in relation to their own everyday lives. The developers can thus adjust the system and services according to the skills and values of older people. We will execute a survey with 140 users from 3 countries from three age groups to gain ideas on general requirements. We will hold focus groups to deepen our knowledge. This information will be used to develop the appropriate testing scenario and interventions. We will run a supervised pilot and (if feasible) an unsupervised pilot (n=18) to qualitatively test the interactions with the robot. We will use the Q.Bo, which is an open source system, that will run our software on a Rasberry Pi. The main software will consist of the emotion expression analysis (FaceReader SDK) software, the robot functionalities and JITAI’s decision trees.


Likelihood of negative effects from aging can be reduced with life-style interventions that promote an active, positive, and social life. However, knowing which, when, and how to deliver these interventions is difficult. The focus of this proposal is to support older people at home in managing their healthy lifestyle using a social robot with unobtrusive AI technology and Just-in-Time Adaptive Interventions (JITAI). We will integrate emotion analysis and intervention software modules on an open source robot system. In addition, we will investigate the user requirements for such a system to fit the the older population.

Expected Results and Impact:

We will deliver a report on multifaceted requirements for robot support system (ROSS) from the older user perspective, and design guidelines with user scenarios for an AI-based emotion detection and behaviour change support system for social robots at home. We will develop a FaceReader SDK for Linux with innovative emotions estimations. We will integrate the user-centered design guidelines and innovative software into a demonstrator system that can deliver JITAs to older adults in predetermined scenarios. This project can help bring affordable social robots to the market to help people age well.


Partners involved in the project

Organization Type Country Website
VicarVision SME Netherlands
Salzburg Research R&D Austria
Happy Aging, In4care SME Belgium
Sigmund Freud University R&D Austria
50plus End-users Austria
KempenLIFE End-users Netherlands
  • Project name: AI-based Emotion Detection and Behaviour Change Robot Support System to Benefit Ageing Well  (AID2BeWell)
  • Coordinator: VicarVision (Netherlands)
  • Website: (under construction)
  • Duration: 9 months
  • Starting Date: 02/02/2022
  • Total budget: € 453 986
  • Public contribution: € 298 877


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T.: +31 647158190/ +31 020 5300315

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