Analysing Action and Intention Recognition in Human-Robot Interaction with ANEMONE
暂无分享,去创建一个
[1] Aaron Marcus,et al. Seven HCI Grand Challenges , 2019, Int. J. Hum. Comput. Interact..
[2] Beatrice Alenljung,et al. The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction , 2020, Sensors.
[3] Rajeev Gandhi,et al. Challenges and Opportunities for Embedded Computing in Retail Environments , 2012, S-CUBE.
[4] Tom Ziemke,et al. The Role of Intention in Cognitive Robotics , 2016, Toward Robotic Socially Believable Behaving Systems.
[5] Tom Rodden,et al. Principles of robotics: regulating robots in the real world , 2017, Connect. Sci..
[6] ChenMin,et al. Trust-Aware Decision Making for Human-Robot Collaboration , 2020 .
[7] Xu Sun,et al. Evaluating user experience of adaptive digital educational games with Activity Theory , 2012, Int. J. Hum. Comput. Stud..
[8] Jessica Lindblom,et al. Design and Development of the USUS Goals Evaluation Framework , 2020 .
[9] CHRISTINE A. HALVERSON,et al. Activity Theory and Distributed Cognition: Or What Does CSCW Need to DO with Theories? , 2002, Computer Supported Cooperative Work (CSCW).
[10] Tom Ziemke,et al. How to Build a Supervised Autonomous System for Robot-Enhanced Therapy for Children with Autism Spectrum Disorder , 2017, Paladyn J. Behav. Robotics.
[11] Beatrice Alenljung,et al. Evaluating the User Experience of Human–Robot Interaction , 2020 .