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| Human-Computer Interaction Group | |
|---|---|
| Name | Human-Computer Interaction Group |
| Type | Research group |
| Location | Global |
| Leader title | Director |
Human-Computer Interaction Group The Human-Computer Interaction Group is a research collective focused on the study and design of interactive technologies and user experiences, bridging computing, design, cognition, and social practice. It draws on traditions from Stanford University, Massachusetts Institute of Technology, Carnegie Mellon University, University of Cambridge, and University of California, Berkeley while engaging with institutions such as Microsoft Research, Google Research, Apple Inc., IBM Research, and Sony Corporation. The group contributes to conferences like CHI (conference), UIST, DIS (conference), CSCW, and IUI (conference) and publishes in journals such as Communications of the ACM, IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Computer-Human Interaction, Nature Human Behaviour.
The group's origins trace to early work at Bell Labs, Xerox PARC, SRI International, Honeywell, and RAND Corporation where pioneers collaborated with researchers from MIT Media Lab, Royal College of Art, University of Washington, University College London, and Oxford University. Influences include seminal figures associated with Douglas Engelbart, Ivan Sutherland, Alan Kay, Don Norman, and institutions connected to Turing Award laureates such as Ed Feigenbaum and Herbert A. Simon. Through the 1980s and 1990s the group assimilated advances from projects at Apple Computer, Microsoft Research Redmond, PARC, Bell Labs Innovations, and NASA Ames Research Center, aligning with workshops like SIGCHI and initiatives such as Human Factors and Ergonomics Society symposia. In the 2000s and 2010s collaborations expanded with ETH Zurich, Delft University of Technology, National University of Singapore, Tsinghua University, and University of Toronto to address mobile, ubiquitous, and social computing trends influenced by work at Sun Microsystems, Intel Labs, Nokia Research Center, and Samsung Research.
Research spans interaction design and evaluation informed by scholarship at Harvard University, Yale University, Princeton University, Cornell University, and Columbia University; user modeling influenced by teams at Google DeepMind, OpenAI, Facebook AI Research, Microsoft Research Cambridge, and IBM Watson; tangible and ubiquitous computing building on prototypes from MIT Media Lab, Carnegie Mellon University, University of Tokyo, KAIST, and EPFL; and accessibility research connected to Royal National Institute of Blind People, American Foundation for the Blind, World Health Organization, United Nations, and European Commission. Other areas include virtual and augmented reality developed with collaborators at Oculus (Facebook) Research, Valve Corporation, Magic Leap, HTC Corporation, and Microsoft HoloLens projects, as well as social computing and privacy explored alongside Electronic Frontier Foundation, Privacy International, ACLU, Open Rights Group, and Center for Democracy & Technology.
Methodological foundations trace to experimental traditions at Bell Labs, IBM Research, Stanford Human-Computer Interaction Group, MIT Media Lab, and Carnegie Mellon University integrating qualitative methods from Anthropology-adjacent programs at University of Cambridge, London School of Economics, and University of Oxford and quantitative techniques promoted by IEEE, ACM, National Science Foundation, and Engineering and Physical Sciences Research Council. Techniques include controlled lab studies employed by teams at Microsoft Research, Google Research, Apple Human Interface Group, and Facebook Reality Labs; field deployment strategies used by Intel Research, Nokia Research, Siemens Research, and Bell Labs; prototyping methods from IDEO, Frog Design, Hyper Island, and Royal College of Art; and evaluation frameworks referenced by ISO standards, W3C, WCAG, and policy bodies like European Commission advisory groups.
The group has produced influential contributions akin to the NLS (oN-Line System) innovations of Douglas Engelbart, the graphical user interface lineage from Xerox Alto to Apple Macintosh, and the object-oriented interface concepts linked to Alan Kay and Smalltalk. It has advanced touch and multi-touch paradigms in line with research at Bell Labs, MERL, Apple Inc., and University of Toronto, contributed to wearable computing traditions associated with Steve Mann and MIT Media Lab, and shaped embodied interaction ideas developed at Hiroshi Ishii’s lab and Tangible Media Group. Projects have influenced standards and deployments by W3C, ISO, ITU, European Telecommunications Standards Institute, and corporate platforms at Google, Microsoft, Amazon (company), Facebook (Meta Platforms). Work on collaborative systems echoes milestones from Douglas Engelbart’s group, CSCW communities, Lotus Development Corporation, Atlassian, and enterprise research at IBM.
Training programs are offered through departments at Stanford University, Massachusetts Institute of Technology, Carnegie Mellon University, University College London, University of Washington, Georgia Institute of Technology, University of Toronto, ETH Zurich, Delft University of Technology, and Tsinghua University with degree tracks influenced by curricula at Harvard University, Yale University, Columbia University, Princeton University, and Cornell University. Short courses, workshops, and summer schools run with partners like SIGCHI, IEEE VR, ACM SIGGRAPH, Interaction Design Association, Nielsen Norman Group, IDEO U, and Coursera-affiliated programs; internships and PhD placements connect to Microsoft Research, Google Research, Apple Inc., IBM Research, Amazon Lab126, and Facebook AI Research.
The group collaborates with industrial labs including Microsoft Research, Google Research, Apple Inc., Amazon (company), Meta Platforms, IBM Research, Sony Corporation, Samsung Research, Intel Labs, and Nokia Research Center and with public institutions such as NASA, European Commission, National Institutes of Health, National Science Foundation, and UK Research and Innovation. Its output has influenced product roadmaps at Apple, Google, Microsoft, Samsung, and Amazon, informed policy at European Commission, UNESCO, World Health Organization, and contributed to standards at W3C and ISO.
Ethical and accessibility priorities align with advocacy and regulatory bodies like Electronic Frontier Foundation, Privacy International, ACLU, United Nations Educational, Scientific and Cultural Organization, World Health Organization, and European Commission. Research addresses bias mitigation inspired by work at Fairness, Accountability and Transparency in Machine Learning (FAT ML), privacy practices from Center for Democracy & Technology, and inclusive design strategies promoted by Royal National Institute of Blind People, American Foundation for the Blind, Global Initiative for Inclusive ICTs, Disability Rights International, and International Labour Organization.