- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
In: AAMAS '18 Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, Stockholm, Sweden, July 10 - 15, 2018, S. 497-506
- Event
-
Veröffentlichung
- (where)
-
Augsburg, Richland, SC
- (who)
-
Universität Augsburg, IFAAMAS - International Foundation for Autonomous Agents and Multiagent Systems
- (when)
-
2018
- Creator
- Contributor
- URN
-
urn:nbn:de:bvb:384-opus4-492537
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
16.08.2028, 6:52 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Gebhard, Patrick
- Schneeberger, Tanja
- Baur, Tobias
- André, Elisabeth
- Koenig, Sven
- Dastani, Mehdi
- Sukthankar, Gita
- Universität Augsburg, IFAAMAS - International Foundation for Autonomous Agents and Multiagent Systems
Time of origin
- 2018
Other Objects (12)
Safira - supporting affective interactions in real-time applications
Should we (dis)trust robots? Developing responsible AI using cognitive and affective human-robot trust
Deciding when to react to incremental user input in human-robot interaction
Perception and interactive technologies : proceedings
Abschlussbericht des Bayerischen Forschungsverbunds: gesunder Umgang mit digitalen Technologien und Medien (ForDigitHealth), Juni 2019 – Mai 2023
The Social Signal Interpretation Framework (SSI) for real time signal processing and recognition
Detection of affective patterns in physiological signals towards improving automatic emotion recognition
MobileSSI: asynchronous fusion for social signal interpretation in the wild
A privacy-preserving multi-task learning framework for emotion and identity recognition from multimodal physiological signals
Intelligent signal processing for affective computing
MobileSSI - a multi-modal framework for social signal interpretation on mobile devices
SSI/ModelUI - a tool for the acquisition and annotation of human generated signals
Safira - supporting affective interactions in real-time applications
Should we (dis)trust robots? Developing responsible AI using cognitive and affective human-robot trust
Deciding when to react to incremental user input in human-robot interaction
Perception and interactive technologies : proceedings
Abschlussbericht des Bayerischen Forschungsverbunds: gesunder Umgang mit digitalen Technologien und Medien (ForDigitHealth), Juni 2019 – Mai 2023
The Social Signal Interpretation Framework (SSI) for real time signal processing and recognition
Detection of affective patterns in physiological signals towards improving automatic emotion recognition
MobileSSI: asynchronous fusion for social signal interpretation in the wild
A privacy-preserving multi-task learning framework for emotion and identity recognition from multimodal physiological signals
Intelligent signal processing for affective computing
MobileSSI - a multi-modal framework for social signal interpretation on mobile devices
SSI/ModelUI - a tool for the acquisition and annotation of human generated signals
Safira - supporting affective interactions in real-time applications
Should we (dis)trust robots? Developing responsible AI using cognitive and affective human-robot trust
Deciding when to react to incremental user input in human-robot interaction
Perception and interactive technologies : proceedings
Abschlussbericht des Bayerischen Forschungsverbunds: gesunder Umgang mit digitalen Technologien und Medien (ForDigitHealth), Juni 2019 – Mai 2023
The Social Signal Interpretation Framework (SSI) for real time signal processing and recognition
Detection of affective patterns in physiological signals towards improving automatic emotion recognition
MobileSSI: asynchronous fusion for social signal interpretation in the wild
A privacy-preserving multi-task learning framework for emotion and identity recognition from multimodal physiological signals
Intelligent signal processing for affective computing
MobileSSI - a multi-modal framework for social signal interpretation on mobile devices