Cognitive Interaction Technology
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The coming decade will bring raw processing power and storage capacities of everyday computers to the same level as small brains. Considering this, current interaction technology seems archaic as it still forces humans to follow highly stereotyped, narrow and often error-prone procedures in order to make computers, robots, or other machinery obey them. The vision behind the Excellence Cluster Cognitive Interaction Technology (CITEC) is to develop ways of interacting with technical systems that are as natural and smooth as communication between humans.
KeywordsAugmented Reality Technical System Augmented Reality System Virtual Faculty Cognitive Interaction
With the advances of processor, materials and memory technology, together with novel algorithms and data repositories of unprecedented size, we are approaching the ability to build systems of a tremendous complexity. A major challenge is to shape the interaction of such systems with their environment so that they not only can cope with rich, natural and unstructured environments, but at the same time can also connect well with our human styles of communication and at a semantic level that can be matched to the needs of technical non-experts and lay people .
To fulfill these needs, future technology will need cognitive abilities similar to those exhibited by higher developed brains in animals and man. To create the necessary scientific insights, transfer them into technology suitable for applications, and contribute towards better bridges between the technology and the human side summarizes the primary goals of the Bielefeld Excellence Cluster “Cognitive Interaction Technology” (CITEC) [2, 3].
Being aware that this is not only a technological challenge but rather a task that is inseparable from significantly advancing our understanding of cognition itself, CITEC is focussing the efforts of computer scientists, psychologists, linguists, physicists and biologists on the goal of establishing cognitive interfaces that facilitate the use of complex technical systems by supporting a high level of semantic interaction . This combines interdisciplinary, basic, and applied research beyond the classical confines of artificial intelligence. It aims at a thorough understanding of the processes and functional constituents of cognitive interaction in order to replicate it in technical systems at various levels of cognitive complexity ranging from specialized small-scale systems, for example for hand-held devices to display-bound simulated agents in virtual worlds and finally to fully-blown anthropomorphic robots that can aid humans in everyday home settings.
With its focus on interaction and interaction understanding, CITEC complements the Munich Excellence Cluster “Cognition for Technical Systems”, which is working towards systems that can act autonomously and at a high level of understanding of their environment. Together, the two initiatives bring together a substantial critical mass of scientists and can create major synergies to tackle the vast field between cognition and technology in pursuit of the vision of a cognitive technology for the future.
2 Research Profile
CITEC is structured into four major research areas:
2.1 Motion Intelligence
While there are amazing solutions for highly specialized action generation in narrow domains, the synthesis of similar capabilities for unprepared, everyday environments is a major unsolved challenge. Here, major research foci are to consider the control of highly redundant, anthropomorphic actuator systems, such as full-body movements and multifingered hands. Biology, psychology, sports science and robotics groups interact closely to combine algorithmic approaches with insights gained from the analysis of human and animal motion and to come closer to a coherent picture about the internal representation of our movement abilities. A connected research objective is to synthesize robot motions that match better to the expectations of humans in order to achieve smooth cooperation.
2.2 Attentive Systems
2.3 Situated Communication
2.4 Memory and Learning
Memory connects perception with experience and allows cognitive processing to generate intelligent action. A major goal is to develop memory systems that can approximate some of the key features of human memory, such as flexible association, scalability and learning at different levels. This raises questions such as: what are the required representations and how do they have to interact with each other? How can we integrate new pieces of knowledge, and what might be the use of forgetting in a technical system?
To address these issues, neuropsychologists and biologists groups working on the brain and its architecture share their insights with sports scientists and robotics researchers. They combine neuropsychological research on human memory with methods for analyzing memory structures from interviews and behavioral studies. This work is complemented by computational approaches exploring biologically inspired memory architectures and combining techniques from the field of datamining with learning concepts ranging from statistical machine learning, neural networks, the extraction of ontologies with symbolic methods up to biologically inspired approaches of imitation learning. Another important aspect are developmental studies, analyzing the development of infant cognition as well as communicative principles of parent-infant interaction during the learning-by-demonstration process in order to gain novel insights for technical systems, and the interconnection of different modalities to maintain the linkage between conceptual and perceptual levels to enable coherent behavior.
3 Organization and People
3.1 Central Institute
The EC is constituted as a Central Scientific Institute of the University, allowing it to operate across the borders of the five cooperating faculties (Faculty of Technology (TEC), Faculty of Biology (BIO), Faculty of Physics (PHY), Faculty of Linguistics and Literary Science (LILI), Faculty of Psychology and Sport Science (PSY)) and the European Center for Mechatronics (ECM—an external partner).
Philippe Blanchard (PHY)
Ralf Möller (TEC)
Holk Cruse (BIO)
Gert Rickheit (LILI)
Paul Drews (ECM)
Helge Ritter (TEC)
Martin Egelhaaf (BIO)
Gerhard Sagerer (TEC)
Peter Ladkin (TEC)
Thomas Schack (PSY)
Hans Markowitsch (PSY)
Ipke Wachsmuth (TEC)
3.2 New Groups from CITEC funding
Semantic Computing (P. Cimiano)
Theoretical Informatics for Cognitive Systems (B. Hammer)
Cognitronics and Sensor Systems (U. Rückert),
Ambient Intelligence (T. Hermann, TEC)
Social Agents (S. Kopp TEC)
Emergentist Semantics (K. Rohlfing PSY)
Active Sensing (J. Engelmann BIO)
Gender and Emotion in Cognitive Interaction (F. Eyssel, PSY)
Additionally, a considerable number of reappointments have been or are currently closely coordinated with the research objectives of CITEC and are partially supported with CITEC-funding: one biology group (V. Dürr—Biological Cybernetics), two linguistics groups (J.P.de Ruiter—Psycholinguistics, P. Wagner—Phonology) and one psychology group (W. Schneider—Cognitive Psychology). Three further re-appointments (PSY, successor of G. Draisbach, BIO, successor of Y. Winter, and Philosophy, successor of A. Beckermann) are currently negotiated.
4 Central Lab Facilities
5 Cooperating Institutions
An additional strong pillar is the Institute for Cognition and Robotics (CoR-Lab). It is another Central Scientific Institute within Bielefeld University founded on the basis of a special joint funding between Honda Research Europe and the State of NRW. The researchers in CoR-Lab and its integrated graduate school strengthen CITEC in particular with respect to the sector of cognitive robotics and industrial cooperations in this area, It also offers a unique research laboratory comprising advanced humanoid research robots, including two humanoid ASIMO robots and an iCub system for exploring a wide range of issues of cognitive human-robot interaction.
This research staff and the additional experience from two Collaborative Research Centers (CRC 360: Situated Artificial Communicators (terminated in 2006) and CRC 673: Alignment in Communication) between the computer science and linguistics groups provides the basis for the above sketched research program.
As a further strengthening measure, CITEC has established a Virtual Faculty consisting of a carefully selected group of renowned scientists from fields pertinent to CIT. These colleagues visit CITEC repeatedly, contributing research seminars and cooperation projects, and in this way add to the profile of CITEC for attracting the best young researchers.
The interaction of the Virtual Faculty with the university-based researchers is organized through the Center for Interdisciplinary Research (ZiF)—a center for Advanced Study closely operating as a special unit of the University, and the European Center of Mechatronics (ECM) located at the nearby Crassenstein Castle, offering a unique atmosphere for research, tutoring, demonstration and transfer and complementing the ZiF as an international seminar center for scientists from all over the world.
CITEC has strategic partnerships with key industrial partners to deploy Cognitive Interaction Technology in applications. Envisaged application areas range from “unembodied” CIT in media and information systems to CIT to enhance functions in typical consumer household applications and finally to the ambitious goal of contributing core technology for shaping the future generation of fully embodied anthropomorphic robot assistants.
Three major partnerships are currently already in place (Bertelsmann AG, Miele Cie. KG; and Honda Research Europe). As an additional partner, WEGE GmbH Bielefeld supports networking activities into local industry.
6 Promotion of Young Researchers and Gender Issues
CITEC implements an International Graduate Program comprising distinctive elements such as an embedded Career Skill Programm, regular Research Retreats to enhance mentoring, International Fellowships encouraging participants to spend one semester at a foreign institution as well as frequent Visiting Lectures by renowned visiting scientists to rapidly advance young scientists to the forefront of their research field, make them part of the international research network, develop their work- and interpersonal skills, and make them strive for excellence.
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- 1.Ritter H, Sagerer G (2009) Excellence cluster “Cognitive Interaction Technology”—cognition as a basis for natural interaction with technical systems. Inf Technol 2:112–118 Google Scholar
- 2.Excellence Cluster Cognitive Interaction Technology (CITEC Homepage). http://www.cit-ec.de
- 3.Technology that understands (DFG Video Portal). http://www.excellence-initiative.com/bielefeld-cognitive-interaction-technology