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Towards Neuroadaptive Technology: Symmetrical Human-Computer Interaction based on a cognitive user model generated by automatically probing the operator’s mind



Datum: 01.12.2017
Uhrzeit: 15.30 Uhr s.t. +++ SONDERTERMIN AUSSER DER REIHE!

Ort: Cartesium Rotunde



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 machine‐mandated 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 above‐mentioned communication bottleneck.



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Ansprechpartner(in) / Einladende(r):
Professorin Tanja Schultz


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