User Experience Evaluation Towards Cooperative Brain-Robot Interaction
作者： Chris S. Crawford , Marvin Andujar , France Jackson , Sekou Remy , Juan E. Gilbert
DOI: 10.1007/978-3-319-20901-2_17
关键词: Human–computer interaction 、 Affect (psychology) 、 Process (engineering) 、 Task (project management) 、 User experience design 、 Multimedia 、 Usability 、 User experience evaluation 、 Robot 、 Computer science 、 User interface 、 Interactive systems engineering
摘要: Brain-Robot Interaction (BRI) research has mainly focused on analyzing system’s performance through objective data. Recently Brain-Computer Interfaces (BCI) begun moving towards applications that go beyond the lab and medical settings. To create successful BRI in future for healthy users User Experience (UX) should be evaluated throughout development process. This paper discusses single cooperative systems analyzes affective task data collected while cognitively controlling a robot. Also this how approach can benefit usability of applications.
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