Personalisation of services for people with mental health and learning disabilities based on wearable, lifestyle and emotional profile analytics

Area of study

  • Health care services analytics

Our partners

  • Alzheimer’s Australia
  • Brotherhood of St Laurence
  • Families in Victoria, Queensland and New South Wales
  • NEC Corporation, Japan.

Devices used

Socially assistive robot, touch pad, smart phone, wireless microphone and health care sensors.

Project overview

This project aims at designing a robot-enabled personalised care ecosystem for older people. To design personalised services we're researching and analysing user experiences, lifestyles and health conditions. The user’s verbal and non-verbal (emotional) data is collected and analysed to improve personalised services and care.

Health care research shows that promoting tailored care for older persons and people with dementia is an essential component of care. Care must be tailored to meet the individual needs.

Our research involves uniting the concept of 'personhood' in health care with socially assistive robotics. Personhood is defined as ‘the standing or status that is bestowed upon one human being, by others, in the context of relationship and social being’, and includes three core components: interactional environment, subjective experience and social context.

These health care concepts are combined with computing techniques involving artificial intelligence, soft computing and computer vision techniques.

Methods and goals

Mapping an individual experience in an aged care context involves designing user-centred services personalised around the lifestyle of the person with dementia. These lifestyle based services are designed to foster sensory enrichment, basic needs and social connectivity. The aim is to help the user to become more productive and useful, improve their resilience and coping skills.

The robot services being designed to support the user’s emotional wellbeing include: singing and dancing, book reading, news reading, weather forecasting, activity reminders and phone calls.

To forge a connection and relationship between the robot and the user in an emotionally engaging manner, the interactional environment needs to use human-like communication modes. These include:

  • voice
  • emotive expressions
  • head and body movement
  • gestures.

A user-centred service design implies all the robot’s services must be personalised to each individual’s preference. For example, singing and dancing services must reflect the personal music tastes of the human user: the robot should read the books they like or tell them the news items they are interested in. The services are designed so all service content can be personalised and updated for the human user.

Outcome

Robot-enabled personalised care ecosystem for older people.