Human-IST Institute - Presentation by the Smart Living Lab

Smart Living Lab's research group UNIFR | Human-IST Institute | Head: Prof. Denis Lalanne
Researchers at the Human-IST Institute are working on built environment-human interaction. They are developing new, human-centered technologies in order to understand and improve our interactions with the built environment, as well as enhancing user comfort through data visualization and multimodal interfaces, bringing together expertise from the fields of IT, psychology, and sociology.
The Human-IST Institute is led by Professor Denis Lalanne at the University of Fribourg (UNIFR). The Institute is also an integral member of the Smart Living Lab, a research centre dedicated to the future of the built environment, which brings together the expertise of EPFL, HEIA-FR and UNIFR in the blueFACTORY innovation district in Fribourg.
Credit: Take Off Productions | Smart Living Lab

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Edy Portmann | TEDxBern

Real life isn't as simple as true or false. Fuzzy logic allows having degrees of truth, hooking next-generation computer systems up with human-like capability to deal with information that is imprecise, uncertain and incomplete. In this video I introduce fuzzy logic, with its basics fuzzy sets and fuzzy rules and how those are combined for a more natural decision-making with big (Web) data.

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ComfortBox: the Box that Detects Unhealthy Environment

Human-IST Institute

The researchers at the Human-IST Institute have created a novel interactive device, called ComfortBox, which can notify its users when environmental quality deteriorates.

Studying Space Use: Bringing HCI Tools to Architectural Projects

Himanshu Verma, Hamed S Alavi, Denis Lalanne

Understanding how people use different spaces in a building can inform design interventions aimed at improving the utility of that building, but can also inform the design of future buildings. We studied space use in an office building following a method we have designed to reveal the occupancy rate and navigational patterns.

Our method involves two key components: 1) a pervasive sensing system that is scalable for large buildings, and high number of occupants, and 2) participatory data analysis engaging stakeholders including interior architects and building performance engineers, to refine the questions and define the needs for further analyses through multiple iterations.

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