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TZID:America/Chicago
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20251016T135148Z
LOCATION:Grand Hall L
DTSTART;TZID=America/Chicago:20251014T113000
DTEND;TZID=America/Chicago:20251014T115000
UID:HFESAM_ASPIRE 2025_sess126_LECT630@linklings.com
SUMMARY:Subjective Observations on Different Age Group Interactions with C
 ollaborative Robots Versus Human Colleagues
DESCRIPTION:Zahra Vahedi and Lora Cavuoto (The State University of New Yor
 k at Buffalo)\n\nAs the global population ages, integrating older adults i
 nto Industry 5.0 becomes crucial. This study compares older adults' intera
 ctions with collaborative robots (CoBots) versus human colleagues in assem
 bly tasks. Thirty-two participants aged 55-75 and 20-40 performed tasks un
 der varied complexities, including a Stroop test. Results showed no signif
 icant age-related differences in technology acceptance or performance, sug
 gesting older adults can adapt well to the cobot in the designed work scen
 ario. However, CoBots increased mental workload and task errors, highlight
 ing challenges in operational dynamics. These findings indicate that perfo
 rmance and perception differences among workers stem from task nature and 
 collaborator type, not age. Tailoring workplaces to older adults' capabili
 ties and preferences can effectively support an aging workforce, enhancing
  inclusivity and productivity.\n\nTrack: Age and Ability\n\nSession Chair:
  Yunmei Liu (University of Louisville, MIND x AI Lab)\n\n
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