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                <identifier>oai:data.mendeley.com/jb7xd3rzbb.2</identifier>
                <datestamp>2026-08-27T15:44:06Z</datestamp>
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    <dc:creator id="https://orcid.org/0009-0000-8747-6842">Zhou, Xinyu</dc:creator>
    <dc:title>Dataset for: Eating Utensil Design for Older Adults: Effects of Handle Diameter and Mass Placement on Static Holding Stability and User Experience</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset supports the study “Eating Utensil Design for Older Adults: Effects of Handle Diameter and Mass Placement on Static Holding Stability and User Experience.” The study examined how two passive design factors affect static spoon-holding stability and whether measured motion agrees with older adults’ perceived steadiness. It does not evaluate a clinical treatment or diagnostic method.

Twenty right-handed adults aged 75 years or older completed a 2 × 2 within-subject experiment involving two handle diameters (approximately 12 and 30 mm) and two mass placements (proximal and distal). Each participant completed one static-holding trial in each condition, producing 80 IMU recordings. Tri-axial acceleration and angular velocity were recorded at 200 Hz. A four-item structured interview assessed perceived handle stability, perceived mass-placement stability, overall experience relative to a household spoon, and reasons for participants’ choices.

The thick handle produced lower resultant acceleration variability in the targeted analysis, although this effect did not survive the broader six-effect Holm sensitivity correction. Distal mass placement increased exploratory 3–12 Hz relative gyroscope power after multiplicity correction, making proximal placement the more favorable configuration for this spectral endpoint. Participants generally perceived the thin handle as steadier but favored proximal mass placement. Objective and perceived stability therefore diverged for handle diameter but converged for mass placement.

The deposit is organized into a root-level questionnaire file, a stepwise analysis notebook, and the `Kinematic_Data` directory, which preserves the kinematic workflow from the original IMU recordings through processed signals and final participant-level and inferential outputs. The accompanying README documents the condition codes, questionnaire fields, processing rules, software environment, and interpretation limits.</dc:description>
    <dc:subject>Industrial Design</dc:subject>
    <dc:subject>Industrial Ergonomics</dc:subject>
    <dc:contributor id="https://orcid.org/0009-0004-5701-3416">Zhou, Ming</dc:contributor>
    <dc:contributor id="https://orcid.org/0000-0002-6440-1319">Ma, Zhaoyi</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/jb7xd3rzbb.2</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/jb7xd3rzbb.2</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/jb7xd3rzbb</dc:relation>
    <dc:date>2026-08-27T15:44:06Z</dc:date>
</oai_dc:dc></metadata>
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