Experimental Data on Chain-of-Thought Effects on Human Perceptions of AI

749.6 KB of research materials from a 2x2x2 between-subjects experiment investigating how displaying AI's Chain-of-Thought reasoning affects human perceptions. The study, authored by Zeyu Gao and last updated in April 2026, examines moderating roles of user motivation and task difficulty. It includes findings on perceived anthropomorphism, intelligence, user attitudes, and continuation intentions.

Use Cases

• Analyzing the effect of AI reasoning transparency on perceived anthropomorphism based on the experimental design.
• Studying how user motivation moderates the impact of Chain-of-Thought on perceived intelligence and attitudes.
• Investigating the context-aware Media Evocation paradigm for human-AI interaction as described in the results.
• Replicating or extending the experimental findings on task difficulty as a moderating factor.

Strengths

• Data is from a structured 2x2x2 between-subjects experiment with a complementary experiment.
• Research materials are available in multiple formats (JPG, DOCX, PDF).
• Released under a permissive CC-BY-4.0 license.

Limitations

• Row count and column-level documentation are unknown; field semantics must be inferred after download.
• The 749.6 KB size indicates a limited scope, likely containing research papers and figures rather than raw experimental data.

Provenance

Source

Zeyu Gao via figshare.

Collection Method

Data likely gathered from controlled human-subject experiments as described.

Time Range

Experimental timeframe not specified; publication date is 2026.

Freshness

Last updated 2026-04-15 08:11:34; freshness should be verified.

Geography

Spatial coverage not specified.