Ainhoa Apraiz, Ganix Lasa, Maitane Mazmela, Nestor Arana-Arexolaleiba, Íñigo Elguea, Oscar Escallada, Nagore Osa, Amaia Etxabe
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引用次数: 0
Abstract
In the Industry 5.0 context, ensuring effective Human-Robot Interaction (HRI) is key to supporting human involvement in production processes. Interfaces are the foundation of this collaboration and serve as vital communication channels which bridge the gap between users and robotic systems. This study compares unimodal and multimodal interfaces and their impact on user experience (UX) in an HRI context. Unimodal interfaces, while simplifying implementation, may restrict the richness of communication, while multimodal interfaces provide detailed and flexible interaction, enhancing the conveyance of complex information. However, designing effective multimodal interfaces presents challenges due to their inherent complexity in managing multiple modalities. This paper presents an HRI disassembly case study comparing the impact of these interfaces on the UX. A methodological approach was used to monitor operator performance, physiological responses, and perceptual responses. An electroencephalogram was employed to objectively record the operators’ emotional responses of operators without interrupting or hindering the process. Twenty participants (10 men and 10 women) were involved in the study. The results indicate that levels of memorization and mental workload are lower when using the multimodal interface, a finding consistent across men and women. These findings suggest that the multimodal interface is an appropriate choice, not only for reducing memorization and mental workload levels, but also for its inclusive approach. This aligns with the objectives of Industry 5.0, promoting the development of technology that meets diverse user preferences and abilities, thereby ensuring greater accessibility and a more user-centric technological landscape.
期刊介绍:
The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.