Adaptation of a Study Design to the COVID-19 Pandemic Regulations - Evaluation of a Voice-Controlled Robotic Kitchen Assistance System for the Support of Older Adults in Need of Care
This academic chapter describes the adaptation of a study design for evaluating a voice-controlled robotic kitchen assistance system during the COVID-19 pandemic. Researchers applied an iterative risk management process based on ISO 12100:2010 to address safety concerns, shifting from face-to-face evaluation to an online survey using simulated video demonstrations. The authors discuss the challenges of reaching vulnerable older adult populations and question the efficiency of applying machine safety standards to this context.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Researchers and developers conducting human-robot interaction studies with vulnerable populations during health crises.
What the document contains
The document covers the methodological adaptation of human-robot interaction research during the COVID-19 pandemic, specifically regarding risk management and shifting from in-person trials to remote online surveys for evaluating assistive kitchen robotics.
It does not provide general AI governance frameworks, legal compliance guidelines beyond study safety, or regulatory enforcement mechanisms.
- The COVID-19 pandemic necessitated alternative study designs for evaluating robotics with vulnerable groups.
- An iterative risk management approach based on ISO 12100:2010 was utilized by a multidisciplinary team.
- Face-to-face evaluations were replaced by online surveys incorporating simulated cooking videos.
- The online survey method successfully reached participants via mail but limited overall target group engagement.
· Abstract · Methods · Results · Discussion
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
0/5Clear responsibility for AI outcomes
screening score · 2026-10-24
Fairness
0/5Non-discrimination and equitable treatment
screening score · 2026-10-24
Human Dignity
0/5Respect for the inherent worth of persons
screening score · 2026-10-24
Human Oversight
0/5Humans remain in control of consequential decisions
screening score · 2026-10-24
Privacy
0/5Protection of personal data and private life
screening score · 2026-10-24
Transparency
0/5Openness about how AI systems work and are used
screening score · 2026-10-24
Enforcement
0/5Consequences and compliance mechanisms with real force
screening score · 2026-10-24
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
We carried out an iterative risk management based on ISO 12100:2010 with a multidisciplinary team before starting the study.
Methods
screening score · 2026-10-24