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EmotionAware 2022 : EmotionAware 2022: 6th International Workshop on Emotion Awareness for Pervasive Computing - Beyond traditional approaches | |||||||||||||||
Link: http://www.comtec.eecs.uni-kassel.de/emotionaware/ | |||||||||||||||
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Call For Papers | |||||||||||||||
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CALL FOR PAPERS ================================================================================================================== EmotionAware 2022: 6th International Workshop on Emotion Awareness for Pervasive Computing - Beyond traditional approaches ================================================================================================================== In conjunction with 2022 IEEE International Conference on Pervasive Computing and Communications (PerCom 2022), March 21-25, 2022, in Pisa, Italy. Important Dates * Paper submission: November 14, 2021 * Paper notifications: January 5, 2022 * Camera ready: February 5, 2022 Call for Papers An important goal of pervasive computing is to integrate computer devices into the users’ everyday life seamlessly. This allows context-aware applications to gather information about the users to support them in their daily tasks. A newly attractive source of information for pervasive computing is provided by mobile devices, wearable devices, and pervasive sensors able to detect the emotional state of the users. In many real-world scenarios, it is essential to use wearable sensors, embedded in mobile devices such as smartphones and smartwatches, to measure the emotional state of the user. This would help to understand how emotions influence processes such as decision making and reasoning. However, emotion recognition remains to be a complex and challenging task mainly regarding the following aspects: sensing modalities, data analysis, and its application in real life. • Sensing Modalities – what to sense and what kind of sensors can be used? Physical sensors in mobile devices or biosensors in wearable devices and pervasive sensors (e.g. RF sensors) are currently available. • Data analysis – different approaches to emotion recognition are based on different types of collected data. • Application – how to effectively use the emotion information in pervasive computing and context-aware applications. While there have been, many contributions targeting some of these challenges, there are still unsolved problems. The proposed workshop will explore the challenges of the sensing, modelling, and recognizing of emotions by using embedded sensors in smartphones, in wearable devices, and pervasive sensors (e.g. RF sensors) for pervasive computing. We aim to have unique contributions addressing these challenges and to provide a discussion space to facilitate collaboration among researchers interested in emotion recognition for pervasive computing. Topics Topics of interest include, but are not limited to: * Theory, experimental design, computational models, algorithms, and evolutional investigation in emotion detection for pervasive computing. * Emotion representations and signal characteristics that describe and identify emotions or stress. * Mobile data measurement and collection platforms for emotion detection. * Approaches to obtaining reliable ground truth and affective data annotation for emotion research. * Emotion detection algorithms/approaches using data collected with mobile devices, wearable devices and pervasive sensors (e.g. RF sensors) * User studies and evaluation techniques for emotion detection and automated systems that model and detect emotions. * Awareness of emotions in collaboration or crowdsourcing. * The novel use of emotion information in pervasive computing applications. * The application of emotion information for the work-life balance, for a healthier life and behavior. * The combined research of emotion recognition and artificial intelligence (AI). * The investigation of the human-robot interaction. * Privacy issues * Presentation of emotions * Applications of emotions * Integration of emotions into lifelogging applications * Emotions for Human Robot Interaction. * Beyond traditional 'Sensing - Analysis - Feedback’ Technical Program Committee * Prof. Dr. habil. Björn W. Schuller (Chair of Complex and Intelligent Systems, University of Passau) * Dr. Chelsea Dobbins (University of Queensland, Australia) * Prof. Klaus David (Chair for Communication Technology (ComTec), University of Kassel, Germany) * Prof. Midori Sugaya (Shibaura Institute of Technology (SIT), Japan) * Prof. Bernd Radig (Technical University of Munich, Germany) * Prof. Dr. Tadashi Okoshi (Graduate School of Media and Governance, Keio University, Japan) * Prof. Dr. Joyce Westerink (Chair of Wellbeing and Psychophysiology in the Human Technology Interaction, Eindhoven University of Technology, Netherlands) * Prof. Dr. Sandra Ohly (Business Psychology Group, University of Kassel, Germany) * Dr. Ella Peltonen (University of Oulu, Finland) * M. Sc. Judith Heinisch (Chair for Communication Technology (ComTec), University of Kassel, Germany) * Prof. Stephan Sigg (Department of Communications and Networking, Aalto University) Workshop Policies: *The workshop will be affiliated to IEEE PerCom 2022, to be held in Pisa, Italy. *Each accepted workshop paper requires a full PerCom registration (no registration is available for workshops only). *Workshop papers will be included and indexed in the IEEE digital libraries (Xplore) For more information, please visit: http://www.comtec.eecs.uni-kassel.de/emotionaware/ EmotionAware Chairs: Prof. Dr. Klaus David (Kassel University, Germany) Prof. Dr. Tadashi Okoshi (Keio University, Japan) Dr. Chelsea Dobbins (University of Queensland, Australia) Email: emotionaware@comtec.eecs.uni-kassel.de ================================================================================================ |
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