aiqbench analysis
This research investigates the design requirements for socially assistive robots to detect and manage disorientation in dementia patients, emphasizing a supportive rather than corrective interaction model. By analyzing caregiver insights, the study highlights critical socio-technical implications for integrating AI-driven orientation support into daily home routines without increasing patient distress. The work focuses on bridging the gap between robotic capabilities and the nuanced emotional needs of persons living with dementia and their caregivers.
Stakeholder Insights for Designing In-Home Social Robots for Dementia Disorientation Detection and Caregiver-Aware Intervention
arXiv:2608.22008v1 Announce Type: new Abstract: Disorientation is a common and distressing experience for people living with dementia. It often manifests as confusion about time, place, or personal context. These episodes can increase anxiety, agitation, and safety risks, especially for persons with dementia (PwDs) who live independently at home. While assistive technologies have explored reminders, monitoring, and activity support, little research has explored how socially assistive robots can support the detection and management of disorientation in everyday living contexts. Hence, disorientation detection and intervention remain under-examined as socio-technical challenges. We conducted 14 semi-structured interviews with dementia caregivers and practitioners, including family and professional caregivers, occupational therapists, mental health practitioners, dementia nurse practitioners, and well-being and technology leads. The findings reveal that recurrent and fluctuating. It often emerges through behavioural cues such as repeated questioning, inappropriate activity timing and disrupted daily routines. Caregivers described orientation as emotionally charged, and direct correction may increase distress. The participants were generally receptive to robotic assistance when framed as supportive rather than corrective. Based on the insights, we identify essential design implications for socially assistive robots that provide context-aware orientation support, integrate into daily routines and support caregivers through timely escalation.
Abstract:Disorientation is a common and distressing experience for people living with dementia. It often manifests as confusion about time, place, or personal context. These episodes can increase anxiety, agitation, and safety risks, especially for persons with dementia (PwDs) who live independently at home. While assistive technologies have explored reminders, monitoring, and activity support, little research has explored how socially assistive robots can support the detection and management of disorientation in everyday living contexts. Hence, disorientation detection and intervention remain under-examined as socio-technical challenges. We conducted 14 semi-structured interviews with dementia caregivers and practitioners, including family and professional caregivers, occupational therapists, mental health practitioners, dementia nurse practitioners, and well-being and technology leads. The findings reveal that recurrent and fluctuating. It often emerges through behavioural cues such as repeated questioning, inappropriate activity timing and disrupted daily routines. Caregivers described orientation as emotionally charged, and direct correction may increase distress. The participants were generally receptive to robotic assistance when framed as supportive rather than corrective. Based on the insights, we identify essential design implications for socially assistive robots that provide context-aware orientation support, integrate into daily routines and support caregivers through timely escalation.
Robotics (cs.RO)
arXiv:2608.22008 [cs.RO]
(or arXiv:2608.22008v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2608.22008 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 283 words
