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handle: 2117/351262 , 10261/261281
The use of collaborative robots (cobots) in industrial and academic settings facilitates physical and cognitive interaction with operators. This framework is a challenge to determine how measures on concepts, such as usability, can be adapted to these new environments. Usability is a quality attribute prevalent in the field of human-computer interaction concerning the context of use and the measure of effectiveness, efficiency, and satisfaction of products and systems. In this work, the importance of the role of benchmarking usability with collaborative robots is discussed. The introduced approach is part of a general methodology for studying people and robots’ performance in collaboration. It is being designed and developed on a concrete experience into a human-robot collaborative workspace. Outcomes from the study include a list of steps, resources, recommendations, and some customized questionnaires to obtain cobot-oriented usability analysis and case study results.
Technology, Robòtica, Engineering design, Àrees temàtiques de la UPC::Informàtica::Robòtica, T, ai4eu, Usability, Robotics, Workload, Human-computer interaction, Interacció persona-ordinador, workload, usability, human-robot interaction, Benchmarking, TA174, benchmarking, :Informàtica::Robòtica [Àrees temàtiques de la UPC], Human-robot interaction, usability; human-robot interaction; workload; benchmarking
Technology, Robòtica, Engineering design, Àrees temàtiques de la UPC::Informàtica::Robòtica, T, ai4eu, Usability, Robotics, Workload, Human-computer interaction, Interacció persona-ordinador, workload, usability, human-robot interaction, Benchmarking, TA174, benchmarking, :Informàtica::Robòtica [Àrees temàtiques de la UPC], Human-robot interaction, usability; human-robot interaction; workload; benchmarking
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 32 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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