Development and Preliminary Evaluation of a Brief Health Chatbot Acceptability Scale (CAS): A Pilot Study

A brief 10-item health chatbot acceptability scale for middle-aged and older adults shows a coherent two-factor structure with high reliability (α = .93) in a sleep-app pilot.

• Why it matters: Acceptability for health chatbots is often measured with ad hoc tools, and existing measures may not fit older users whose technology acceptance determinants differ from younger groups.
• What they did: In a pilot usability study, 20 adults (mean age 52.8; 85% aged 40+) completed the 10 candidate items plus the System Usability Scale (SUS), and the team tested item performance, factor structure via exploratory factor analysis, and convergent validity using SUS correlations.
• The result: The scale formed an Information Quality factor and an Acceptance factor (interfactor r = .39), with strong loadings (≥ .60) and preliminary convergent validity (SUS correlations r = .69 and r = .59), supporting candidate use pending formal validation in a larger independent sample.

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