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Percorrer por autor "Nomura, Tatsuya"

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  • Acceptance of industrial collaborative robots: Preliminar results of appliction of portuguese version of the Frankenstein Syndrome Questionnaire (FSQ)
    Publication . Pinto, Ana; Ferraz, Mariana; Nomura, Tatsuya; Santos, Joana
    Cobots are highly flexible and able to operate in the same workspace and at the same time with the worker. The use of these technologies allows for increased production performance while ensuring comfort and confidence for the worker. Robot acceptance is still a controversial topic with various approaches and methods to measure acceptance of humanoid robots. This study aimed to evaluate cobots acceptance after a motor assembly task in a collaborative workstation. 30 university students were divided into two groups, with group 1 having read the assembly instructions before the usage of the assembly workstation and group 2 without having any previous knowledge about the car engine. All participants completed the Portuguese version of the Frankenstein Syndrome Questionnaire (FSQ). Data analyses were carried out using descriptive and inferential statistics using IBM SPSS Statistics software, version 28.0. One correlations was found between the scales of the FSQ (p < 0.05). It was possible to conclude that the acceptance of robots by the participants in group 1 and group 2 was the same. This study can contribute to understanding which factors explain the acceptance of collaborative robots, to improve human-robot intercation.
    2023-07Documento de conferência Acesso aberto Ver mais
  • Translation, adaptation, and validation in portuguese of an acceptance scale for human–robot interaction in an industrial context
    Publication . Pinto, Ana; Lemos, Letícia; Carvalho, Carla; Santos, Joana; Menezes, Paulo; Nomura, Tatsuya; Santos, Joana
    Industry 4.0, characterized by the integration of advanced technologies across various industrial domains, is now evolving intoIndustry 5.0, which emphasizes the human perspective, resilience, and sustainability. In this context, the study of humanbehavior and attitudes towards human–robot interaction (HRI) is crucial for understanding the acceptance of this emergingtechnology, which, in turn, can drive the development of more well-designed industrial robotic systems. This paper is aimed attranslating, adapting, and validating a scale designed to measure acceptance in the context of HRI within industrial settings,with a focus on collaborative robots (cobots). To conduct an exploratory factor analysis (EFA), 140 participants (male = 45%,female = 52%, and nonbinary = 3%) were recruited. The results revealed a four-factor structure for the Frankenstein SyndromeQuestionnaire–Industrial Context (FSQ-IC): “general anxiety towards cobots” (α = 0 87), “trustworthiness towards developersof cobots” (α = 0 83), “apprehension towards cobots in the industrial context” (α = 0 73), and “expectation of cobots in socialchange” (α = 0 69). For further validation and to help ensure the validity and reliability of the adapted scale, a confirmatoryfactor analysis (CFA) was conducted with a sample of 210 participants (male = 45%, female = 53%, and nonbinary = 2%). Themodel fit indices, including a χ2/df of 3.14 and root mean square error of approximation (RMSEA) of 0.10, indicated anacceptable fit. The goodness-of-fit index (GFI), comparative fit index (CFI), and normed fit index (NFI) were 0.88, 0.90, and0.86, respectively, all within acceptable ranges. Convergent and discriminant validities were also analyzed. An analysis of thedifferences in perceptions of acceptance based on sociodemographic variables (gender, experience with robots, educationallevel, and age) was conducted. Only gender revealed significant differences. Considering the psychometric qualities of theinstrument, the FSQ-IC is valid and reliable for assessing acceptance in HRI.
    2025-01-17Artigo de investigação Acesso aberto Ver mais