Dagstuhl Seminar 22491
Cognitive Augmentation
( Dec 04 – Dec 09, 2022 )
Permalink
Organizers
- Kai Kunze (Keio University - Yokohama, JP)
- Pattie Maes (MIT - Cambridge, US)
- Florian 'Floyd' Mueller (Monash University - Clayton, AU)
- Katrin Wolf (Berliner Hochschule für Technik, DE)
Contact
- Michael Gerke (for scientific matters)
- Jutka Gasiorowski (for administrative matters)
Shared Documents
- Dagstuhl Materials Page (Use personal credentials as created in DOOR to log in)
Schedule
Smartphones and other wearable computers have become an integral part of most people's life. They support us in a wide variety of applications and use cases from simple navigation over health to work. Most of the time these devices just externalize knowledge, be it ours (over notes, pictures, calendar information, etc.) or that of others (e.g. access to Wikipedia, maps, Internet applications). Yet, even though we have all of this information at our fingertips, it is unclear how we should interface with it. How can we make information intake more "natural"? Can we extend our perception to understand complex digital data more intuitively? New findings in neuroscience, applied psychology, and physiology suggest it’s possible. This Dagstuhl Seminar brings together specialists of these fields, as well as researchers from wearable computing, human-computer interaction, machine perception, and pattern recognition to discuss the possibility of digitally enhancing our cognition/perception, augment our skills and create novel digital senses.
The concept to use information technology to augment the human intellect goes back to research from the 1960s (Douglas Engelbart et al.). The basic idea is to extend the computational (and other) capabilities of the human mind using technology. The ongoing technical progress in key areas (better insights how our mind works, advances in real-life tracking of physical, cognitive and emotional states) will enable fundamentally new approaches to amplify the human intelligence.
A major objective of the Dagstuhl Seminar is to foster research and explore and model new means for increasing human intake of information in order to lay the foundation for augmented cognition. One important characteristic of the human mind is that it has significant fluctuations in productivity and capacity. Our mind has ebb and flow, and is affected by various factors, some of which we do not even realize. These fluctuations manifest in patterns in human behavior and physiological signals. We aim to discuss technologies that can give us more insights into the ebb and flow of the human mind as a basis for cognitive augmentation. Beside just recognizing cognitive fluctuations, an elegant solution to extend people’s sensed information through technology would be to augment or "code" cognition.
This seminar focuses on how to interact with information from the digital domain in a minimally disruptive way, creating novel sensory experiences using and extending human perception and cognition.

- Michael Beigl (KIT - Karlsruher Institut für Technologie, DE) [dblp]
- Michael D. Bonfert (Universität Bremen, DE)
- Samantha W.T. Chan (MIT - Cambridge, US)
- Jiawen Han (Keio University - Yokohama, JP)
- Matthias Hoppe (LMU München, DE)
- Masahiko Inami (University of Tokyo, JP) [dblp]
- Shoya Ishimaru (TU Kaiserslautern, DE) [dblp]
- Shunichi Kasahara (Sony CSL - Tokyo, JP) [dblp]
- Marion Koelle (OFFIS - Oldenburg, DE) [dblp]
- Thomas Kosch (HU Berlin, DE) [dblp]
- Kai Kunze (Keio University - Yokohama, JP) [dblp]
- Yuichi Kurita (Hiroshima University, JP)
- Jie Li (EPAM Systems - Hoofddorp, NL)
- Stephan Lukosch (University of Canterbury - Christchurch, NZ) [dblp]
- Paul Lukowicz (DFKI - Kaiserslautern, DE) [dblp]
- Kouta Minamizawa (Keio University - Yokohama, JP)
- Qianqian Mu (Aarhus University, DK)
- Pat Pataranutaporn (MIT - Cambridge, US)
- Rakesh Patibanda (Monash University - Clayton, AU) [dblp]
- Roshan Lalintha Peiris (Rochester Institute of Technology, US)
- Enrico Rukzio (Universität Ulm, DE) [dblp]
- Albrecht Schmidt (LMU München, DE) [dblp]
- Valentin Schwind (Frankfurt University of Applied Sciences, DE)
- Paul Strohmeier (Max-Planck-Institut für Informatik Saarbrücken, DE) [dblp]
- Steeven Villa (LMU München, DE)
- Tobias Wagner (Universität Ulm, DE)
- Jamie A. Ward (University of London, GB) [dblp]
- Don Anusha Withanage (The University of Sydney, AU) [dblp]
- Katrin Wolf (Berliner Hochschule für Technik, DE) [dblp]
- Cindy Hsin-Liu Kao (Cornell University - Ithaca, US) [dblp]
- Zhuying Li (Southeast University - Nanjing, CN) [dblp]
- Pattie Maes (MIT - Cambridge, US) [dblp]
- Florian 'Floyd' Mueller (Monash University - Clayton, AU) [dblp]
- Suranga Nanayakkara (National University of Singapore, SG) [dblp]
- Evangelos Niforatos (TU Delft, NL) [dblp]
- Nathalie Overdevest (Monash University - Clayton, AU)
- Bektur Ryskeldiev (Mercari - Tokyo, JP)
- Aryan Saini (Monash University - Clayton, AU) [dblp]
- Stel Stelarc (Bentley, AU)
- Po-Yao (Cosmos) Wang (National Taiwan University - Taipei, TW)
Classification
- Artificial Intelligence
- Human-Computer Interaction
- Machine Learning
Keywords
- Wearable Computing
- Augmented Humans
- Augmented Reality