Exoskeleton Setup and Takedown Task Performance with Regression Analysis

Regression analysis: task failure rates contains data from a study on occupational exoskeleton deployment barriers. Jessica Sanchez-Balandran collected 397 observations from 29 participants performing setup and takedown tasks on four exoskeletons, measuring task times, success rates, and complexity metrics. The dataset was last updated on April 28, 2026.

Use Cases

• Predict task completion time based on the number of procedural steps, as described in the regression analysis.
• Analyze the relationship between usability problems and task performance for assembly versus donning tasks.
• Model task failure rates for exoskeleton setup procedures to identify deployment barriers.
• Compare the predictive power of step count versus part count on task performance, as indicated by the study findings.

Strengths

• Includes 397 participant-level observations for regression analysis.
• Quantifies key predictors: number of procedural steps accounted for 66.9% of variance in completion times.
• Reports specific regression coefficients (β=0.374) and significance levels (p<.001).
• Data is licensed under CC-BY-4.0, permitting open reuse with attribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

Jessica Sanchez-Balandran via figshare.

Collection Method

Experimental study with 29 participants performing setup and takedown tasks on four exoskeletons, using hierarchical task analysis and heuristic assessments.

Time Range

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Freshness

Last updated 2026-04-28 17:44:48; freshness should be verified.

Geography

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