Questionnaire Supplement for Intelligent DIY Assistant Research (2026)

Marvin Schiller published this questionnaire supplement in 2026 to support research on intelligent DIY assistants in the International Journal of Human–Computer Interaction. The data captures user-centered evaluation metrics regarding AI planning, knowledge representation, and proactive dialog for DIY novices.

Use Cases

• Analyzing user-centered design metrics for AI-driven DIY assistants using proactive dialog feedback
• Evaluating the effectiveness of AI planning features based on novice user responses
• Assessing knowledge representation strategies for supporting DIY tasks through questionnaire data

Strengths

• Directly linked to peer-reviewed research in the International Journal of Human–Computer Interaction
• Focuses on specific AI domains including AI planning and proactive dialog

Limitations

• Unknown record count and sample size
• Lack of detailed column descriptions or metadata in the source

Provenance

Source

International Journal of Human–Computer Interaction (IJHCI)

Collection Method

survey

Freshness

Last updated March 2026