Survey and Interview Data on Player Perceptions of AI Partners in Games

248 UK-based players responded to a survey on their experiences with AI-controlled partners, teammates, and guides in digital games. The dataset includes anonymized survey responses, a codebook, an interview guide, and representative quotes from 16 qualitative interviews. These materials support the study "Bots or Buddies? Social Presence and Player Experiences with AI Partners in Digital Games".

Use Cases

• Analyze relationships between perceived anthropomorphism and player satisfaction based on survey items.
• Study how player conceptualizations of AI competence correlate with engagement based on described variables.
• Replicate or extend the quantitative analysis of social presence and technological gratification.
• Apply the provided qualitative coding framework to analyze new interview data on AI interactions.

Strengths

• Includes data from 248 survey respondents and qualitative insights from 16 interviews.
• Provides multiple file types for transparency, including a quantitative codebook and qualitative coding framework.
• Anonymized to exclude personal identifiers like names, email addresses, and IPs.

Limitations

• Full qualitative interview transcripts are not publicly available, limiting in-depth text analysis.
• Row count for the quantitative dataset is unknown, which may limit suitability assessment.
• Composite scores must be calculated manually from item-level variables.

Provenance

Source

figshare, author Yue Meng-Lewis.

Collection Method

Exploratory sequential mixed-methods design: qualitative interviews followed by a cross-sectional online survey.

Freshness

Last updated 2026-05-19 11:09:26.

Geography

Survey respondents were based in the UK.