Development of Kansei Engineering-based System for Agro-industry (KESAN) for Worker Trust Assessment in Food Small Medium-sized Enterprises

Abstract

Trust influenced the attractiveness of ergonomic programs to Small Medium-sized Enterprises (SMEs) workers as individuals and groups as the collective. A framework of Kansei Engineering-based System for Agro-industry (KESAN) was proposed for worker trust assessment using a platform of Kansei engineering and artificial intelligence. A fuzzy inference model was used to process worker trust based on an input of ergonomic status against their mentality constraints of prior knowledge, familiarity, agreement, and preference. The research result indicated that fuzzy inference could simulate worker trust which was influenced by ergonomic status, mentality constraint, benefit agreement, and preference. This result indicated the possibility of using Kansei engineering and fuzzy inference to assess worker trust.