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Collaboration Sensing Technologies in Human-Computer Interaction

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 364

Special Issue Editors


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Guest Editor
Department of Computer Science DIKU, Københavns Universitet, Copenhagen, Denmark
Interests: human computer interaction; computer science; computational thinking

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Co-Guest Editor
Department of Computer Science and Media Technology, Faculty of Technology, Linnaeus University, 351 95 Växjö, Sweden
Interests: technology-enhanced learning; web and mobile engineering; context sensing and serialization; data modeling; user engagement; visualisation; innovative technologies
Special Issues, Collections and Topics in MDPI journals

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Co-Guest Editor
Assistant Professor, Department of Computer Science and Media Technology, Malmö University, Malmö, Sweden
Interests: mobile and web technologies; Internet of Things (IoT); software engineering; software architecture; learning technologies

Special Issue Information

Dear Colleagues,

Collaboration analytics, powered by sensors and AI-driven technologies, have the potential to revolutionize the way we work, learn, and interact. These advanced systems can help optimize team performance, enhance decision-making, and foster innovation by monitoring and analyzing human behaviors.

In today's interconnected world, the fusion of sensing technologies is reshaping collaboration across various sectors. This special issue of the MDPI Journal of Sensors is dedicated to delving into the research frontiers and practical applications of collaboration sensing technologies. The primary objective of the special issue is to investigate how sensor-driven systems can augment and revolutionize collaborative and cooperative practices while addressing the accompanying challenges and risks.

Sensing technologies offer a unique lens through which we can examine human behavior, group dynamics, and decision-making processes, thereby fostering more productive and efficient collaboration. These advancements have substantial implications for various fields: education, healthcare, industry, and entertainment. Nevertheless, incorporating such technologies into systems also introduces critical concerns regarding privacy, ethics, accuracy, and potential biases in the data collection and analysis processes.

The special issue brings to the forefront how new developments in sensor technologies can be applied to human-computer interaction and the implications regarding how people interact with intelligent systems.

Dr. Daniel Spikol
Dr. Arianit Kurti
Dr. Bahtijar Vogel
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • collaboration analytics
  • sensors
  • machine learning
  • artificial intelligence
  • ethical considerations
  • CSCW and CSCL

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Published Papers

There is no accepted submissions to this special issue at this moment.
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