-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] [CFP] Special Track in User Engagement in IoT Systems - ACM GoodIT 2021 Datum: Fri, 9 Apr 2021 17:19:10 +0200 Von: Federico Montori federico.montori2@UNIBO.IT Antwort an: Federico Montori federico.montori2@UNIBO.IT An: tccc-announce@COMSOC.ORG
[Apologies for cross-posting]
*Special Track in User Engagement in IoT Systems - ACM GoodIT 2021* Website: https://sites.google.com/view/user-engagement-in-iot-systems
Our current lives are entangled with the Internet of Things and Pervasive applications, which provide a multitude of services that enrich and facilitate human lives. Among different platforms and systems, many of them also rely on user collaboration to provide data, services, and to improve the systems also for other users. Most popular are Crowdsensing systems, in which users measurements' are leveraged to enlarge the data available for the platform. More recently also other forms of collaboration among users and the platform are available, such as services made by user thanks to visual programming languages, or user reviewing issues.
This openness of the system has a twofold benefit (i) it allows the platform to be more fitted to the user needs and desired services, and (ii) it allows the users to be part of the platform design, so being able to understand how it works, gaining trust in it and also feel more rewarded in participating.
This Special Track solicits unpublished high quality paper related (but not limited to):
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Mobile Crowdsensing -
User participation in Mobile Crowdsensing -
Rewarding mechanism in Mobile Crowdsensing -
User aided design of Mobile Crowdsensing -
User-centered Internet of Things -
Data science for Mobile Crowdsensing -
Fog/Cloud computing for Collaborative IoT -
Machine learning techniques for data aggregation -
Machine learning techniques for data classification -
Participatory IoT Platforms -
User Defined Service Composition -
Mobile Crowdsensing testbeds and platforms -
Privacy for Crowdsensed data -
Context Aware Application and Services -
User behavior classification from public data -
User activity recognition -
User profiling
Important dates are reported below:
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May 1st 2021 - Paper Submission Deadline -
June 22nd 2021 - Notification of Acceptance -
July 10th 2021 - Camera Ready Submission Deadline
Papers should be submitted via the HotCRP submission website https://goodit2021.hotcrp.com/ Federico Montori and Luca Bedogni
Federico Montori Research Fellow Department of Computer Science and Engineering University of Bologna, Italy
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