Tyck till om SwePub Sök
här!
Sökning: WFRF:(Ehrlich Stefan)
> Luleå tekniska universitet >
When to engage in i...
When to engage in interaction - And how? : EEG-based enhancement of robot's ability to sense social signals in HRI
-
- Ehrlich, Stefan (författare)
- Institute for Cognitive Systems (ICS), Technische Universität München
-
- Wykowska, Agnieszka (författare)
- Institute for Cognitive Systems (ICS), Technische Universität München
-
- Ramirez-Amaro, Karinne (författare)
- Institute for Cognitive Systems (ICS), Technische Universität München
-
visa fler...
-
- Cheng, Gordon (författare)
- Technische Universität Muünchen, Institute for Cognitive Systems
-
visa färre...
-
(creator_code:org_t)
- Piscataway, NJ : IEEE Computer Society, 2014
- 2014
- Engelska.
-
Ingår i: IEEE-RAS International Conference on Humanoid Robots. - Piscataway, NJ : IEEE Computer Society. - 9781479971749 ; , s. 1104-1109
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Humanoids are to date still limited in reliable interpretation of social cues that humans convey which restricts fluency and naturalness in social human-robot interaction (HRI). We propose a method to read out two important aspects of social engagement directly from the brain of a human interaction partner: (1) the intention to initiate eye contact and (2) the distinction between the observer being initiator or responder of an established gaze contact between human and robot. We suggest that these measures would give humanoids an important means for deciding when (timing) and how (social role) to engage in interaction with a human. We propose an experimental setup using iCub to evoke and capture the respective electrophysiological patterns via electroencephalography (EEG). Data analysis revealed biologically plausible brain activity patterns for both processes of social engagement. By using Support Vector Machine (SVM) classifiers with RBF kernel we showed that these patterns can be modeled with high within-participant accuracies of avg. 80.4% for (1) and avg. 77.0% for (2).
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
Nyckelord
- Teknisk psykologi
- Engineering Psychology
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
Hitta via bibliotek
Till lärosätets databas