Smart assistants, self-driving cars, cognitive interfaces, automated decision support...
To enable true human-machine cooperation, the Human Factors Technologies lab analyzes and anticipates human behaviors in order to design smart environments that are effective, intuitive, and customized. By the same logic, it creates solutions founded on its expertise in psychophysiology, cognitive sciences, and interaction design. Using the best simulation and analysis methods, it develops user-centered interaction technologies and objective behavioral measurement tools to usher in the digital transformation of the industrial world and help create a new experience for its customers.
At the intersection of Cognitive Science and Human Factors, we define innovations that ensure people are both the driver and end purpose of technological research.
02.11.2022
Abstract Designed to improve human-machine interactions, virtual agents, and particularly virtual assistants (VAs), are spreading in our daily lives. Presenting a very wide variety of characteristics, studies generally report their own agent with its own characteristics and objective. So we can wonder if some of these characteristics are a consensus for VAs in general. Within this work, we aim to…
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02.04.2021
Acceptability and 5G in the Medical Field: The Impact of the Level of Information
The issues around 5G are considerable: sovereignty, smart city, industry 4.0, energy, connected healthcare. However, 5G is currently raising many questions from the general public and professionals. To better understand these questions related to acceptability, a quantitative experimental study was conducted with 81 healthcare professionals, via an online questionnaire. The objective is to…
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11.17.2020
This paper describes an "all-in-one" solution for the real-time recognition of users' mental workloads in virtual reality through the cus-tomization of a commercial HMD with physiological sensors. First, we describe the hardware and software solution employed to build the system. Second, we detail the machine learning methods used for the automatic recognition of the users' mental…
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08.24.2020
Do Distant or Colocated Audiences Affect User Activity in VR?
We explore the impact of distant or colocated real audiences on social inhibition through a user study in virtual reality (VR). The study investigates, in an application, the differences among two multi-user configurations (i.e., the local and distant conditions) and one control condition where the user is alone (i.e., the alone condition). In the local condition, a single user and a real…
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