@article{132, keywords = {action identification, automated video analysis, collaobration, dementia, health informatics, interdisciplinary, non-invasive sensing and monitoring, product usability}, author = {Jennifer Boger and Babak Taati and Alex Mihailidis}, title = {Interdisciplinary development of manual and automated product usability assessments for older adults with dementia: lessons learned}, abstract = {

The changes in cognitive abilities that accompany dementia can make it difficult to use everyday products that are required to complete activities of daily living. Products that are inherently more usable for people with dementia could facilitate independent activity completion, thus reducing the need for caregiver assistance. The objectives of this research were to: (1) gain an understanding of how water tap design impacted tap usability and (2) create an automated computerized tool that could assess tap usability. 27 older adults, who ranged from cognitively intact to advanced dementia, completed 1309 trials on five tap designs. Data were manually analyzed to investigate tap usability as well as used to develop an automated usability analysis tool. Researchers collaborated to modify existing techniques and to create novel ones to accomplish both goals. This paper presents lessons learned through the course of this research, which could be applicable in the development of other usability studies, automated vision-based assessments and the development of assistive technologies for cognitively impaired older adults. Collaborative interdisciplinary teamwork, which included older adult with dementia participants, was key to enabling innovative advances that achieved the projects research goals.

}, year = {2015}, journal = {Disability and Rehabilitation: Assistive Technology}, volume = {11}, chapter = {581}, month = {07/2015}, url = {http://www.tandfonline.com/doi/full/10.3109/17483107.2015.1063714}, doi = {http://dx.doi.org/10.3109/17483107.2015.1063714}, }