Abstract
The world ageing problem is prompting new sustainable ways to support elderly people. As such, it is important to promote personalized and intelligent ways to assure the active and healthy ageing of the population. Technological breakthroughs have led to the development of personalized healthcare systems, capable of monitoring and providing feedback on different aspects that can improve the health of the elderly person. Furthermore, defining motivational strategies to persuade the elderly person to be healthier and stay connected to such systems is also fundamental. In this work, a coaching system is presented, especially designed to support elderly people and motivate them to pursue healthier ways of living. To do this, a coaching application is developed using both a cognitive virtual assistant to directly interact with the elderly person and provide feedback on his/her current health condition, and several gamification techniques to motivate the elderly person to stay engaged with the application. Additionally, a set of simulations were performed to validate the proposed system in terms of the support and feedback provided to the user according to his progress, and through interactions with the cognitive assistant.
Highlights
As the world grows older, the demand for sustainable measures to assure and promote the active and healthy ageing of the population become necessary
We studied the use of processes to provide feedback and rewards to the elderly person, the possibility of increasing the cognitive/physical load as the user becomes more proficient with the system, and the adoption of methods that enhance and promote social interaction, which can result in more personalized elderly care solutions
We can conclude that the considered approach and the defined algorithm to represent the emotional state of the cognitive agent are adequate, and can confirm that it is possible to support the evolution of the elderly person as a player and user of the coaching system, which was the main goal of this study
Summary
As the world grows older, the demand for sustainable measures to assure and promote the active and healthy ageing of the population become necessary. The development of intelligent mechanisms and algorithms to adjust the interaction and support provided to the elderly person, which includes serious games with scalable difficulty till robots that play games and communicate with elderly people using different emotions, is fundamental to assure interactive and personalized systems that are tailored to each user [3] In this regard, we studied the use of processes to provide feedback and rewards to the elderly person, the possibility of increasing the cognitive/physical load as the user becomes more proficient with the system, and the adoption of methods that enhance and promote social interaction, which can result in more personalized elderly care solutions. The main conclusions and the work to be done hereafter are discussed in the last section of this work
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