Merchandising/Marketing/Retailing: Management

Measuring Human-Robot Interaction (HRI) in Fashion Stores: Scale Development Using Item Response Theory (IRT)

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Abstract

This study first outlined the key tenets of Item Response Theory (IRT) and Partial Credit Models (PCMs) of Rash IRT derived for multiple-choice. We demonstrated the necessity of bringing novel methodologies into our domain. Further, we used traditional Classical Test Theory (CTT) and IRT methods simultaneously in developing scale measurement. Further, we analyzed data from 7-point Likert-type scale of the attitudes toward Human-Robot Interaction (HRI) that was developed as a 10-item scale consisting of emotional and cognitive HRI. Through the utilization of an integrated approach to scale development, merging the IRT and CTT methodologies, this study provides substantial evidence that the employment of IRT and CTT's CFA offers distinctive insights into item quality, model fit, and scale performance. This methodological synthesis ultimately facilitates the production of precise and valid research instrumentation, thereby ensuring the generation of accurate findings.

Keywords: Human-Robot Interaction, Item Response Theory, Robot, Fashion, Scale Development, Service Robot

How to Cite:

Song, C., Kim, Y. & Jo, B. W., (2024) “Measuring Human-Robot Interaction (HRI) in Fashion Stores: Scale Development Using Item Response Theory (IRT)”, International Textile and Apparel Association Annual Conference Proceedings 80(1). doi: https://doi.org/10.31274/itaa.17214