Les chercheurs de l’Institut Human-IST s’intéressent à l’interaction homme-bâtiment et développent de nouvelles technologies centrées sur l’humain pour comprendre et améliorer les interactions avec l’environnement bâti, ainsi que le confort des occupants, grâce notamment à la visualisation de l'information et d'interfaces intelligentes et multimodales, alliant des expertises en informatique, en psychologie et en sociologie.
Projets
ARC-HEST
BBData DEMO
Carbon correlation experiment
ComfortBox
CUSO: People, Spaces and Technologies
ECABO tool
eCOMBINE
ELSA Exploration tooL for Sustainable Arch…
From Artifacts to Architecture
Future of Human-Building Interaction
Hilo
Indoor Localization
Insolight
Literature analysis of living lab methods …
Living Lab as a research method in Human-C…
MUBI Mobile user-building interface
Preventing Productivity Degradation in Off…
Psychological and physiological reactions …
Smart Shading Control
Space-use behaviour in Smart Living Lab
Spatial Sustainability in Shared Office Sp…
Studying the spaces of crafting. A case st…
The impact of nomadic work spaces on the p…
Transaction on Computer-Human Interaction
User environment strategies
Visualizing the user in the building data
Afficher tous les projets (26)
Contact
Denis Lalanne
Head of Human-IST Institute
Professor- UNIFR
-data visualization
-human-centered multimodal interfaces
-human-building interaction
-human-centered multimodal interfaces
-human-building interaction
Information
Video
Publications
Hilo-wear: Exploring Wearable Interaction with Indoor Air Quality Forecast
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
2020 | Human-IST
Conference Papers
Predictive Models of Indoor Carbon Dioxide Concentration to Prevent Daily Decay of Productivity and Well-Being in Shared Offices.
SmartPhil@ IUI
2020 | Human-IST
Conference Papers
Discussing the Potential of BMS Data Mining to Extract Abnormal Building Behaviour Related to Occupants' Usage
Impact: Design With All Senses
2020 | Human-IST
Conference Papers