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Usability Testing of Human-Robot Interaction using Eye Tracking
This project aims at building up a test environment to measure and evaluate human-robot interaction with a collaborative robot in an industrial application.
Collaborative robots are designed to work safely in the immediate human environment and can therefore be very well integrated into industrial processes. In order to design meaningful collaborative workplaces in the future, in which the interaction is tailored to the needs of the human worker, it is important to understand the role of the human in this interaction. The aim of the project is to investigate how physiological measurements, in particular mobile eye tracking, can be used to measure and evaluate human-robot interactions with collaborative robots. The project is part of a cooperation with **Accenture Labs, Sophia Antipolis, France** and will be carried out in full-time at the **location of the project partner** with accommodations being provided.
Collaborative robots are designed to work safely in the immediate human environment and can therefore be very well integrated into industrial processes. In order to design meaningful collaborative workplaces in the future, in which the interaction is tailored to the needs of the human worker, it is important to understand the role of the human in this interaction. The aim of the project is to investigate how physiological measurements, in particular mobile eye tracking, can be used to measure and evaluate human-robot interactions with collaborative robots. The project is part of a cooperation with **Accenture Labs, Sophia Antipolis, France** and will be carried out in full-time at the **location of the project partner** with accommodations being provided.
Main tasks include: (1) Familiarize with a Bexter Cobot and mobile eye tracking hardware (2) Identify industrial applications suitable for investigating human-robot interaction (3) build up a test environment and a study design (4) perform user studies to generate data (5) analyze and evaluate data to assess the usability of the human-robot interaction (6) derive recommendations for improvement
Main tasks include: (1) Familiarize with a Bexter Cobot and mobile eye tracking hardware (2) Identify industrial applications suitable for investigating human-robot interaction (3) build up a test environment and a study design (4) perform user studies to generate data (5) analyze and evaluate data to assess the usability of the human-robot interaction (6) derive recommendations for improvement
...a very independent and systematical way of working. You know how to structure a project, how to derive meaningful work packages and how to systematically develop solutions. You are highly motivated to familiarize yourself with the topics of physiological measurements and human-robot interaction.
Success in product development depends heavily on the competence and skills of teams and individuals. This is why we dedicate our research to create knowledge that enables the value-adding use of new technologies - and to make this knowledge tangible and teachable. Industrial and clinical needs are the driving forces for our interdisciplinary research. Our work is distinguished by a variety of methods, ranging from simulation to validation of real applications. Our research changes the way we develop products, and our expertise changes the way we create sustainable value.
Success in product development depends heavily on the competence and skills of teams and individuals. This is why we dedicate our research to create knowledge that enables the value-adding use of new technologies - and to make this knowledge tangible and teachable. Industrial and clinical needs are the driving forces for our interdisciplinary research. Our work is distinguished by a variety of methods, ranging from simulation to validation of real applications. Our research changes the way we develop products, and our expertise changes the way we create sustainable value.
- collaborative robots - usability testing - build-up industrial application in test environment - thesis in full-time at Accenture Labs, Sophia Antipolis, France