Research on Service Robot's Willingness to Use: Extended TAM Model

Abstract

This study investigates service robot acceptance factors through an extension of standard TAM for measuring user willingness. Service robots demand new TAM principles because users recognize them through emotional factors and experience technical interaction and safety issues. The research uses perceptual intelligence and human-computer interaction and personification and privacy risk factors to extend the Technology Acceptance Model framework. The survey research instrument operated through both internet and physical methods to collect valid participant responses from 500 qualified users. SPSS and AMOS software were used throughout the research process to test the reliability and validity of the study while conducting structural equation modeling (SEM). The study reveals that both perceived usefulness and ease of use with intelligence and personification and interaction quality lead to user satisfaction while privacy risk reduces this satisfaction level. User satisfaction levels immediately impact the system usage preferences of the users. The study provides practical guidelines and theoretical principles to improve user-focused service robot development and foster better social acceptance of these robots.