Future directions for ICT in aphasia therapy for older adults: enhancing current practices through interdisciplinary perspectives

Growing numbers of older adults requiring aphasia therapy create challenges for the health care system. Information and communication technology (ICT) has the potential to provide computer-mediated, self-administered aphasia therapy that complements conventional therapy. We explore overlaps in ICT for older adults and aphasia therapy applications with the goal of integrating innovative ICT in aphasia therapy. Based on a case study, we explain how results of different disciplines developing ICT for older adults can be transferred in order to better support older adults with aphasia. We conclude with future directions for ICT in aphasia therapy by surveying interdisciplinary approaches that integrate best practices from conventional therapy, interface design, tracking technologies, user modelling, adaptation algorithms, playful design, user empowerment, and community interaction

Towards acceptance engineering in ICT for older adults

Research on technology acceptance presents different theories and models to predict the intention to use and actual usage of a system. However, even when applying these concepts to the design of novel technology, there is still a lack of acceptance among many older individuals. In the past years, we gathered experience in developing and evaluating technology for older adults. Throughout multiple engineering cycles, we repeatedly encountered issues impacting user acceptance. Based on our research, we argue that low acceptance can be ascribed to all phases of the engineering process, and thus, should be systematically applied to technology engineering. By considering research on technology acceptance among older adults, and presenting our own experiences in how older adults accept ICT, we introduce 12 lessons learned when designing ICT for older adults (understanding acceptance, evaluating the importance of user acceptance, pursuing the own goals, consulting with the user, consider all available information, connecting potential benefits, balancing different views, considering mediating factors, making use of emerging artifacts, being sensitive to one’s own actions, avoiding misunderstanding, and communicating clearly). We conclude with a proposition on how to implement these lessons into acceptance engineering throughout the engineering lifecycle