Typing Performance and Movement Data from 30 Participants

Motion capture, keylog, eye tracking, and video data were collected from 30 participants performing a transcription task in English or Finnish. The dataset compares self-taught typists with those trained in touch typing, revealing differences in performance, gaze deployment, and movement strategies. It identifies three motion-based predictors of high typing performance.

Use Cases

• Modeling typing performance predictors based on motion capture data
• Comparing gaze patterns between self-taught and formally trained typists
• Analyzing keystroke dynamics and finger-to-key mapping consistency
• Studying the relationship between global hand motion and typing speed

Strengths

• Contains synchronized multimodal data from 30 participants, providing a detailed behavioral record
• Includes a comparison group of typists with formal training versus self-taught techniques
• Data has been cleaned in an updated version, removing unused and incorrect derivative columns

Limitations

• Specific column names, row counts, and file sizes are not provided in the available metadata
• The dataset is restricted to non-commercial use, limiting some applications
• The exact date of the last update is unknown, potentially affecting freshness

Provenance

Source

Anna Maria Feit, Daryl Weir, Antti Oulasvirta at Aalto University

Collection Method

Collected in a controlled transcription task using motion capture, keylogging, eye tracking, and video recording.

Time Range

Associated with research published in 2016.