The main goal of the field of Augmented Cognition is to research and develop technologies capable of extending the information management capacity of individuals through computing technologies. Augmented Cognition research and development is therefore focused on accelerating the production of novel concepts in human-system integration and includes the study of methods for addressing cognitive bottlenecks (e.g., limitations in attention, memory, learning, comprehension, visualization abilities, and decision making) via technologies that assess the user's cognitive status in real time. A computational interaction employing such novel system concepts monitors the state of the user, through behavioral, psychophysiological and/or neurophyiological data acquired from the user in real time, and then adapts or augments the computational interface to significantly improve their performance on the task at hand.

The Augmented Cognition (AC) Conference, an affiliated conference of the HCI International Conference, arrived at its 15th edition, solicits papers from academics, researchers, industry and professionals, on a broad range of theoretical and applied issues related to Augmented Cognition and its applications.

Call for participation leaflet (42KB)

The related topics include, but are not limited to:

  • The Era of Augmented Cognition: Theory and Practice
  • Neural ergonomics and operational neural science
  • Neuro Function, Activity, Structure, and Technology
  • Physiological Measuring and Human Performance
  • Cybernetics and Artificial Intelligence for adaptive training systems
  • Cognitive Modeling, Perception, Emotion and Interaction
  • Closed-Loop Human Machine Design and Development
  • Cognitive Load and Performance
  • Crowd-augmented cognition
  • Understanding Human Cognition and Behavior in Complex Tasks and Environments
  • Brain Activity Measurement: electroencephalography, fNIRS, eye tracking
  • Novel brain-computer interface technologies
  • Rehabilitation and Cognitive Aids
  • Interactive technologies for population with special needs
  • Reliable Neural-Interface Technology
  • Accelerated Learning through augmented learning and training
  • Biofeedback for applied science
  • Shared Cognition, Team performance, and Decision Making
  • Context aware adaptive techniques and systems
  • Virtual and Augmented Reality Techniques for augmented cognition applications
  • Program Chair


    SoarTech, USA

  • Program Chair


    Design Interactive, USA

  • Board Members

  • Mehmet Emin Aksoy
    Acibadem Mehmet Ali Aydinlar University, Turkey
  • Mark Costa
    Syracuse University, United States
  • Martha Crosby
    University of Hawaii at Manoa, United States
  • Fausto De Carvalho
    Altice Labs, Portugal
  • Daniel Dolgin
    Daniel Dolgin, Ph.D., LLC, United States
  • Rodolphe Gentili
    University of Maryland-College Park, United States
  • Ricardo Gregorio Lugo
    Norwegian University of Science and Technology, Norway
  • Monte Hancock
    4Digital, United States
  • Robert Hubal
    University of North Carolina at Chapel Hill, United States
  • Kurtulus Izzetoglu
    Drexel University, United States
  • Benjamin Knox
    Norwegian Cyber Defence, Norway
  • Chang Nam
    North Carolina State University, United States
  • Sarah Ostadabbas
    Northeastern University, United States
  • Mannes Poel
    University of Twente, Netherlands
  • Dale Richards
    Nottingham Trent University, United Kingdom
  • Stefan Sütterlin
    Østfold University College, Norway
  • Suraj Sood
    PCH Mexican Grill & Seafood, United States
  • Ayoung Suh
    Sungkyunkwan University, Korea
  • Ana Rita Teixeira
    Coimbra Polytechnic - ESEC / Aveiro University - IEETA, Portugal
  • Martin Westhoven
    Federal Institute for Occupational Safety and Health, Germany
  • Ren Xu
    g.tec medical engineering GmbH & Guger Technologies, Austria