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Record STMT-WC87F62Aspirational

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

Report Institutional policyWestern Europe · DEadopted

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

SpringerIndustry
Publisher
Legal forceAspirational
Under whose authorityInstitutional policy
Judged fromfull text

Who it governs

Researchers and academicsAI developers and providersAI deployers and users

Researchers and developers conducting human-robot interaction studies with vulnerable populations during health crises.

Sectors
Healthcare · healthcare assistance for older adultsResearch and science · human-robot interaction studies

What the document contains

What's covered

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.

What's missing

It does not provide general AI governance frameworks, legal compliance guidelines beyond study safety, or regulatory enforcement mechanisms.

Key takeaways
  • 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.
Outline
· Abstract
· Methods
· Results
· Discussion
Issued24 November 2022
Length929 words
FormatNot recorded
Scopenational

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

0/5

Clear responsibility for AI outcomes

screening score · 2026-10-24

Fairness

0/5

Non-discrimination and equitable treatment

screening score · 2026-10-24

Human Dignity

0/5

Respect for the inherent worth of persons

screening score · 2026-10-24

Human Oversight

0/5

Humans remain in control of consequential decisions

screening score · 2026-10-24

Privacy

0/5

Protection of personal data and private life

screening score · 2026-10-24

Transparency

0/5

Openness about how AI systems work and are used

screening score · 2026-10-24

Enforcement

0/5

Consequences and compliance mechanisms with real force

screening score · 2026-10-24

Impact Assessment

4/5

Required 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

Topics

healthcare_robotics study_design covid_19 risk_management older_adults