Abstract
Age-related cognitive impairment is becoming a more prevalent concern as the elderly population continues to increase. Technological systems created for cognitive rehabilitation need to be motivating to combat the personal and logistic factors that make it difficult for them to remain engaged [4]. In this paper, we present a pilot study with a socially assistive robot-facilitated memory game that employs sensory feedback (audio, haptic, and both) to explore the design considerations with adults. The ultimate aim is to inform the design of a cognitive rehabilitation system for individuals with age-related cognitive decline. The preliminary results suggest a preference for auditory feedback, and participants believed they performed best in this condition. Based on qualitative feedback, we have identified improvements that can be made to the system to enhance engagement.
| Original language | English |
|---|---|
| Title of host publication | HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction |
| Publisher | Association for Computing Machinery |
| Pages | 369–371 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781450370578 |
| DOIs | |
| Publication status | Published - 23 Mar 2020 |
| Event | 15th Annual ACM/IEEE International Conference on Human Robot Interaction 2020 - Corn Exchange, Cambridge, United Kingdom Duration: 23 Mar 2020 → 26 Mar 2020 https://humanrobotinteraction.org/2020/ |
Conference
| Conference | 15th Annual ACM/IEEE International Conference on Human Robot Interaction 2020 |
|---|---|
| Abbreviated title | HRI 2020 |
| Country/Territory | United Kingdom |
| City | Cambridge |
| Period | 23/03/20 → 26/03/20 |
| Internet address |
Keywords
- Age-related cognitive impairment
- Cognitive rehabilitation
- HRI
- Multimodal feedback system
- Socially assistive robot
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction
- Electrical and Electronic Engineering