2026-10-11T23:28:00Z https://www.scidb.cn/oai

10.57760/sciencedb.psych.01033 2026-06-09T17:06:11Z

2026-06-09 How Scenario Type, Mental Requirements, and Technology Exposure Jointly Shape Human-Robot Collaboration Preferences doi:10.57760/sciencedb.psych.01033 en Human preferences for collaborating with robots exhibit marked "scenario dependence"; individuals are more open to robotic partners in function-execution contexts (e.g., factory, security) but more reserved in interaction-service contexts (e.g., education, healthcare). However, existing research has predominantly investigated decontextualized factors without systematically treating scenario type as a core independent variable. The present study examines how scenario type, mental capacity requirements (agency and experience), and individual technology exposure jointly shape human-robot collaboration preferences across four experiments. A pilot study (N=30) classified six common scenarios into function-execution and interaction-service types via hierarchical cluster analysis. Experiment 1 (N=286) adopted a 2 (scenario type) × 2 (agency) × 2 (experience) within-subjects design, confirming significant main effects and two-way interactions. Experiment 2 (N=40) replicated these findings in a controlled laboratory setting and revealed a significant three-way interaction among scenario type, agency, and experience. Experiment 3 (N=78) introduced technology exposure as a between-subjects factor in a mixed design, finding that low-exposure individuals showed a cross-scenario "floor effect" under high experience requirements, whereas high-exposure individuals maintained context-sensitive processing. These findings demonstrate that human-robot collaboration preferences are shaped by the complex interplay of scenario-activated scripts, task-specific mental requirements, and the decision-maker's technology cognitive schema. Human-robot collaboration preference; Scenario type; Mind perception; Technology exposure; Servicescape theory Cui Fang RESTRICTED dataset Science Data Bank