Human gesture system in Human Robot Interaction for reliability analysis

Panagou, Sotirios; Fruggiero, Fabio; Lambiase, Alfredo

doi:10.1016/j.procs.2022.01.379

Cited by 2 publications

(1 citation statement)

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“…Technological advances have made flexible interactions with collaborative robots increasingly diverse and complex. Recently, increasing efforts have been made to overcome the limitations of interaction by combining various modalities, such as voice, gesture recognition, and extended reality technology (Dallel et al, 2023; Panagou et al, 2022; Strazdas et al, 2022). Therefore, it is necessary to develop modality‐specific quality criteria and evaluate whether the interaction is successful in various environmental settings.…”

Section: Discussionmentioning

confidence: 99%

Analysis of quality standards for industrial collaborative robots based on user‐centered design framework

Heo,

Putri,

Kim

et al. 2023

Hum Ftrs & Erg Mfg Svc

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Industrial collaborative robots have become increasingly important in recent years due to their ability to work safely and efficiently alongside humans. As a result, there is a growing need for evaluation standards to ensure the quality of collaborative robots. However, existing studies only consider system‐centered and technical aspects of collaborative robots, and there is a lack of research on user‐centered quality evaluation. In this study, we identified 21 user requirements based on a user‐centered design framework and confirmed the limitations of existing quality standards by reviewing the standard clauses for collaborative robots. It was found that user needs to be related to performance, safety, and even usability and enjoyment are already being expressed according to the user‐centered design framework, but the quality standards for these needs only present design principles or do not consider them at all. This study provides information on the quality attributes that need to be fulfilled to satisfy user requirements and suggests the need and direction for further research on the user‐centered evaluation of collaborative robots. Accordingly, the user's perception and experience of collaborative robots are expected to improve.

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Section: Discussionmentioning

confidence: 99%