Activities suggestion based on emotions in AAL environments

Area of Science:

• Gerontology
• Human-Computer Interaction
• Artificial Intelligence

Background:

• Increasing elderly populations necessitate improved support services.
• Retirement homes provide housing and assistance but face challenges with resident engagement.
• Ambient Assisted Living (AAL) technologies aim to address elderly needs, including activity satisfaction.

Purpose of the Study:

• To improve the scheduling of daily activities in retirement homes.
• To incorporate elderly emotional responses into activity planning.
• To maximize group happiness and minimize boredom through personalized activity suggestions.

Main Methods:

• Extension of the Cognitive Life Assistant platform.
• Incorporation of a social emotional model.
• Development of a free time activity manager.

Main Results:

• A system capable of suggesting activities based on group emotional preferences.
• Potential for increased resident satisfaction with scheduled activities.
• A method to mitigate activity repetition and associated boredom.

Conclusions:

• Integrating social emotional models can enhance elderly well-being in communal living.
• Technological solutions can support personalized activity management for seniors.
• The proposed system offers a novel approach to activity scheduling in retirement homes.