greying society it is important to develop user-centered technology to support
active and healthy living. AID2BeWell is a short collaborative project funded
by AAL (Active and Assisted Living) Europe.
In this project we will research and develop robot software to help with
a healthy lifestyle. There is a wide array of lifestyle interventions that
could benefit healthy aging if delivered in the most effective way. A key
technology that could help older adults in their home environment is a robot
platform that delivers adaptive personal behaviour change suggestions promoting
Recent robots for older users are usually simple systems primarily combating loneliness or performing specific tasks (e.g. taking medications). Or complex systems aimed at larger health care organizations. Our aim is to develop software that can run on a personal robot and have intuitive interactions based on the emotional state of the user. VicarVision will develop their emotion analysis software to function on a robot platform. With the help of Salzburg Research, we will develop decision trees and integrate behavior interventions. Sigmund Freud University will be key in developing the scenario’s and ethical requirements. In addition, we have three end-user organizations, Happy Aging (Belgium), KempenLife (NL), and 50plus (Austria), to help in cocreation research and piloting the robot.
With this project, we intend to create an
AI-based emotion detection behaviour change personal robot support system
(ROSS). With a strong focus on end-user requirements, we will find the best way
to develop ROSS to benefit the older user. Emotion recognition will go further
than basic emotions by including complex emotions and longer mood states based
on arousal and valence levels. This will ultimately allow for more empathic and
beneficial human-robot interactions.
This project could be the key to bringing affordable social robots to the market to help people age well.
Tim den Uyl
CEO of VicarVision
AID2BeWell has a very strong focus and involvement of the end-user.
The AI emotion and mood recognition technology is beyond state-of-the-art
Just-In-Time Adaptive Interventions are integrated in the system