Systematic Review of 50 Studies on AI-Assisted Product Design

Artificial Intelligence System(s) Supporting Designers in the Product Design Process and Its Effectiveness: A Systematic Review is a document summarizing findings from 50 empirical studies. Authored by Chenqi Zhang and shared on figshare under a CC-BY-4.0 license, it was last updated on June 4, 2026. The review categorizes AI-supported design tools, analyzes supported design phases and domains, and synthesizes assessment metrics for co-creation effectiveness.

Use Cases

• Categorizing AI-supported design tools and their collaboration modes based on the identified human-centric, copilot, and AI-centric interaction modes.
• Analyzing the distribution of AI support across design phases based on the finding that about 80% of studies focused on early ideation.
• Developing assessment frameworks for co-creative AI tools based on synthesized metrics targeting creative outcomes, system efficacy, and collaborative experiences.
• Designing future AI-assisted systems using the actionable guidelines and moderation patterns among design phases, interaction modes, and user experience revealed in the review.

Strengths

• Systematic analysis of 50 empirical studies provides a structured overview of the research field.
• Identifies three distinct interaction modes (human-centric, copilot, AI-centric) and quantifies research focus across design phases.

Limitations

• The dataset is a 103.2 KB DOCX file, indicating a limited scope primarily containing the review's text and analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for quantitative analysis.

Provenance

Source

Chenqi Zhang

Collection Method

Systematic review of 50 empirical studies.

Freshness

Last updated 2026-06-04 10:42:37; freshness should be verified.