
doi: 10.1155/2018/7249378
handle: 10642/5942
The global population is ageing rapidly. The ageing population faces not only the risk of health-related problems but also the challenge of social isolation and loneliness. While mainstream technology is designed to improve daily life, elderly people’s unique needs are often neglected. These technology designs can be difficult for older adults to learn and use. Tangible user interface (TUI) gives physical form to digital information, with the aim of bridging the gap between the digital world and the physical world. Thus, it can be a more natural and intuitive interface for the older adults. The objective of this research is to review the existing research on TUI for enhancing the social interactions of elderly people. Results show that very little research has been published, given that the TUI concept was introduced 20 years ago. Our systematic literature review also resulted in several recommendations for future research, which includes getting elderly people involved in the process, from designing to evaluating the prototype and investigating the effect of TUI on older adults’ social interactions and health.
Electronic computers. Computer science, QA75.5-76.95, Social interactions, Tangible user interfaces
Electronic computers. Computer science, QA75.5-76.95, Social interactions, Tangible user interfaces
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 35 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
