|FOCUS SESSION on Situation Aware IoT, Edge, and Wearable Computing Systems|
12th IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA 2022)
Situation Awareness (SA) has theoretical backgrounds in the Social Sciences and has been defined by Mica Endsley as the perception of the elements of the environment within a volume of time and space, the comprehension of their meaning, and the projection of their status soon. With varying degrees of complexity and effectiveness, it is a capability of humans and other living organisms. The Endsley Situation Awareness Model gracefully fits with modern cyber-physical systems, cognitive IoT, Edge and wearable computing applications, which have sensing and reasoning capabilities and could show adaptive behavior by predicting future development of recognized scenarios.
However, in the context of IoT systems, with reference to wearable computing, the application of SA models and computational methods for cognitive systems is surprisingly limited. Most research attention has been so far devoted to the development of context aware systems that support the assessment and improvement of users’ SA level; few studies have proposed IoT/wearable systems for situation modeling and identification, even as Disaster Response professionals increasingly – improvise – with whatever IoT/wearable system they may have access to, to support a wide array of Disaster Response circumstances Still there is a fundamental lack of systematic approaches for the development of IoT systems, applications and services able to transform users’ activities and contextual information into situations, thus predicting future impact to ultimately adapt their behavior according to user intentions.
The objective of this focus session is therefore to provide a medium for researchers and practitioners to present emerging research results supporting the development of advanced, automatic situation awareness capabilities of IoT, Edge, and Wearable Computing Systems.
TOPICS OF INTEREST
Situation awareness computational modelsMulti-sensor data fusionCognitive IoT Edge Compute systemsWearable systemsAlgorithms and Machine learning techniquesBig Data Analytics Advanced Applications and ServicesUsers’ experience and perceptions
Submission Instructions: https://edas.info/web/cogsima2022/authors.html
Submission Link: https://edas.info/newPaper.php?c=29209&track=109820
Dr. Raffaele Gravina, University of Calabria, Italy
Prof. Danielle Taana Smith, Syracuse University, USA
Dr. Terry Amorese, University of Campania, Italy
Prof. Lee W. McKnight, Syracuse University, USA
Paper Submissions: February 28, 2022 (Extended Deadline)
Camera Ready: March 31, 2022
Conference Date: June 6-10, 2022