From surgical procedures to robotic arms that assist with eating, and companion robots for elder care – the potential of robots and AI in healthcare is enormous.
Assistance was sought on the development and testing of robots as companions for living a healthier life – using ‘Nao’ (an autonomous, programmable humanoid robot).
User research was planned and then executed with participants in Tokyo, Japan – where the client was based. The aim was to find out the kind of role a companion robot could play and the functionalities that would best benefit its user, in relation to ‘healthy living’.
Finding out the value of living a healthier lifestyle
In collaboration with the client we decided to focus on users that are trying to achieve a healthier and more balanced lifestyle (losing weight, adopting better health habits, etc.) A mix of genders and age groups were selected to collect a broader spectrum of viewpoints.
By sending out activities to participants prior to the face-to-face meetings, we sensitized them to the topic, gathered factual data for the sessions beforehand, and set them easy tasks that added value to the discussions.
The research was structured into two parts, the first part focused on:
- How participants took care of themselves currently (diet, sleep, exercise routine, etc.)
- Their future health goals and driving factors to work towards them
- The role of other people in their lives in relation to their health
Research tools such as a daily routine planner, social network map, motivations & challenges activity, and a card- sorting activity on future health goals were used during discussions.
“Instead of eating dinner at home I usually drop by at a Japanese noodle stand close to work…”
The second part of the research focused on:
- The areas of the user’s life the companion robot could help affect in order to motivate healthier habits
- The role or type of companion the robot could emulate
- The functionalities the robot should have
This was discovered using interactive scenarios (that test certain functionalities) enacted between the participants and Nao. Visual cues were used to help in building the context. Discussions post the sessions prompted users to reflect on their interaction experiences and gather thoughts on overall impressions.
- There is a grave need for better organization in different aspects of life to maintain a healthy work-life balance.
- Participants also find it hard to maintain a balance between time for themselves and social obligations
- Most participants consider walking to their transportation as their daily exercise and rarely have the time or intent to do anything else.
- A desire to spend more time away from the city and do outdoor activities is greatly felt but is missing in the current lifestyle.
- Participants need a push to adopt hobbies and other activities that stimulate them mentally.
- Controlling diet and getting tempted to eat tasty but unhealthy food is seen as the biggest challenge to overcome.
- Family members are considered as caregivers but not motivators to live healthily. Motivators are mostly outside the family circle.
Discussing the current user needs and relating them to their past experiences and future motivations led to the creation of The Healthy-Living Needs Cycle.
The participants’ data showed they were at different stages of realization, needs, challenges & motivations for living a more healthy life. This helped build the 5 stages of the cycle.
Insights based on robot interactions:
Participants felt more comfortable sharing private health information with a robot than a human.
- Recording and analyzing information relevant to user’s health is strongly desired.
- Connecting remotely to the robot when outside/ away from it is preferred so that health-related data is continuously recorded.
- Sharing companion robots with family members is acceptable.
- Being in control of the robot and the data it shares in the presence of others is considered vital.
“I know the robot won’t judge me when it knows my weight. It can also help me keep it in records for future purposes.”
From the different communication styles of the robot (caregiver, friend, coach) that the participants were introduced to during the discussion, they preferred that the robot would communicate like a friend, and only when necessary communicate more strictly, like a coach.
A basic flow of main functions for the robot was developed from analyzing the results:
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The Input function records and stores data, and helps assign a goal. The process function makes sense of data recorded over time, and keeps a check on the set goal.
The output function helps decide in which mode to communicate to the user.
Eventually, the two communication modes of the robot were mapped on to the 5 phases of The Healthy-living needs cycle. This helped provide an overview of how the robot can fulfill the varying needs of the users at different stages.