Dataset for "RetroSketch: A Retrospective Method for Measuring Emotions and Presence in Virtual Reality"

The aggregated data file containing 140 participants' data collected and analysed in the CHI 2025 paper "RetroSketch: A Retrospective Method for Measuring Emotions and Presence in Virtual Reality". Each participant completed two half-hour sessions and continuous measures for both sessions were aggregated in 60-second intervals, resulting in 31 rows per session and 62 rows per participant. The measures used in this study fall into three groups: - Pre-measures include demographic information, gaming experience and preferences, personality and gamer traits, baseline emotions and physiology. - Exposure measures include Retrospective method emotion and keypoint measures, experience sampling method (ESM) measures, and various physiological measures. - Post-measures include measures of flow state, intrinsic motivation, multimodal presence, and simulator sickness, and participants' qualitative evaluations of RetroSketch and ESM measures.