Older adults’ motivations in game based systems: Heuristic definition and its connection with fun

Computers in Human Behavior Reports(2023)

引用 1|浏览5
暂无评分
摘要
Efforts are currently being made to generate wellbeing in the elderly population in order to achieve a good quality of life through the improvement of health, social interaction and psychological health. This is achieved, in addition to other options, through the application of game-based systems, presenting positive results that have been evidenced in several studies. These types of approaches are not only applied for entertainment and leisure, but also for learning and generating positive feelings, as a means of escape from loneliness, isolation, health improvement and support in daily life. Although these experiences are gradually being applied to the older adult population, they have usually been oriented to a young population with different characteristics, needs and motivations, where technological mastery is taken for granted. This makes an older adult feel limited when initially interacting with this type of experiences, which prevents them from fully using and enjoying these technological solutions. In this article, different motivational aspects that encourage older adults to use game-based systems (for learning, fun, health, etc.) were identified and characterized in order to increase the use of this type of technologies, and to improve the design and evaluation of these experiences to obtain greater enjoyment from the end users. These aspects were represented by a motivational model and then established as a set of heuristics. These heuristics were evaluated by means of an expert judgment focused on the design of game experiences, obtaining positive results for the use of these elements as guides in the design and construction of Game-Based Systems oriented to older adults. This set of heuristics and their application were published in the PL/PX web platform for detailed explanation, access and use by the academic community.
更多
查看译文
关键词
Older adults,Motivations,Game bases systems,Player experience,Learning,Fun
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要