A Factor Analysis-Based Evaluation Model for Human-Vehicle Interaction

In automotive human-vehicle interaction (HVI) design, consumer discourse’s growing influence demands an effective evaluation system integrating subjective and objective factors. This study sets foundational indicators via user interviews, constructs a questionnaire, and conducts correlation analysis using SPSS and factor analysis. Six secondary factors are summarized, with their relationships to foundational ones delineated, establishing an evaluation framework that determines factor weights. A confirmatory questionnaire for specific vehicle brand owners validates findings: using a five-point Likert scale yields a ∼0.9% error rate, while a percentage scale reduces it to 0.5%. For general groups, the percentage scale stabilizes error at ∼2.5%. This system aids designers in ranking interaction schemes effectively.