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Einladung zum Vortrag
01. Dezember 2017, 15.30 Uhr s.t.
Universität Bremen | Cartesium Rotunde
(ACHTUNG | SONDERTERMIN AUSSER DER REIHE!)
Thorsten Zander
Team PhyPA (TU Berlin, Germany)
Towards Neuroadaptive Technology: Symmetrical HumanComputer Interaction based on a cognitive user model
generated by automatically probing the operator's mind
Today's interaction with technology is asymmetrical in the sense that the operator has access to any and all details
concerning the machine's internal state, while the machine only has access to the few commands explicitly communicated
to it by the human, and while the human user is capable of dealing with and working around errors and inconsistencies in
the communication, the machine is not.
With increasingly powerful machines this asymmetry has grown, but our interaction techniques have remained the same,
presenting a clear communication bottleneck: users must still translate their high level concepts into machinemandated
sequences of explicit commands, and only then does a machine act. During such asymmetrical interaction the human brain
is continuously and automatically processing information concerning its internal and external context, including the
environment the human is in and the events happening there. I will discuss how this information could be made available in
real time and how it could be interpreted automatically by the machine using Passive Brain-Computer Interfaces to
generate a model of its operator's cognition. This model then can serve as a predictor to estimate the operator's intentions,
situational interpretations and emotions, enabling the machine to adapt to them. Such adaptations can even replace
standard input, without any form of explicit communication from the operator. I will illustrate this approach by several brief
examples.
The above mentioned cognitive model can be refined continuously by giving agency to the technological system to probe its
operator's mind for additional information. It could deliberately and iteratively elicit, and subsequently detect and decode
cognitive responses to selected stimuli in a goal-directed fashion.
Effectively, the machine can pose a question directly to a person's brain and immediately receive an answer, potentially
even without the person being aware of this happening. This cognitive probing allows for the generation of a more fine
grained user model. It can be used to fully replace any direct input to the machine, establishing effective, goal-oriented
implicit control of a computer system. I will give a more detailed example showing the potential of this approach.
These approaches fuse human and machine information processing, introduce fundamentally new notions of `interaction',
and allow completely new neuroadaptive technology to be developed. This technology bears specific relevance to auto
adaptive experimental designs, but opens up paradigm shifting possibilities for technology in general, addressing the issue
of asymmetry and widening the abovementioned communication bottleneck.
Dieser Gast wurde von Tanja Schultz eingeladen.
teuber Microsoft® Word 2013 Microsoft® Word 2013 Wed Nov 22 12:35:50 2017 Wed Nov 22 12:35:50 2017 yes 1 no 595.32 x 841.92 pts (A4) 191972 bytes no 1.5
Towards Neuroadaptive Technology: Symmetrical Human-Computer Interaction based on a cognitive user model generated by automatically probing the operator’s mind
Towards Neuroadaptive Technology: Symmetrical Human-Computer Interaction based on a cognitive user model generated by automatically probing the operator’s mind


 



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