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Recent Advances in Interaction, Sensing and Monitoring Devices and Its Applications

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

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 4292

Special Issue Editors


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Guest Editor
Department of Information Technologies and Systems, University of Castilla-La Mancha, Paseo de la Universidad, s/n, 13071 Ciudad Real, Spain
Interests: human-computer interaction; evaluation of interactive and e-learning systems; eye tracking, educational computing
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Information Technologies and Systems, University of Castilla-La Mancha, Paseo de la Universidad, s/n, 13071 Ciudad Real, Spain
Interests: artificial intelligence; medical expert systems; educational computing; data analysis; Bayesian networks; learning analytics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the context of Human–Computer Interaction, different interaction styles and paradigms based on the use of progressively more advanced devices can be found. Such is the case for recent advances in the field of Virtual and Augmented Reality, wearable computing, the use of tangible user interfaces, emotional robots, the increasingly widespread use of intelligent virtual assistants, and Brain–Computer interfaces, among others.

In recent years, we have witnessed a great proliferation of devices and sensors serving human needs in different fields, such as education, healthcare, and security, among others. Various situations, such as the pandemic caused by COVID-19, pose great challenges for society, in which the use of advanced devices (3D printers, healthcare monitoring devices, robots, drones, and other smart sensors) have been made available to society to provide solutions and address this problematic situation. 

This Special Issue aims to bring together recent advances related to the use of advanced interaction, tracking, sensing, and monitoring devices in different application areas, such as education, health, security, agriculture, etc.

Prof. Dr. Ana Isabel Molina
Prof. Dr. Carmen Lacave
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

  • Human-Computer Interaction
  • Advanced interaction devices
  • Wearable sensors, devices, and electronics
  • Robotics and sensors
  • Motion, body, and eye tracking
  • Localization, object, and human tracking
  • Action, behavior, and pattern recognition
  • Tangible user interfaces
  • Internet of Things
  • UX and Usability evaluation
  • COVID-19

Published Papers (1 paper)

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Research

23 pages, 4135 KiB  
Article
Designing Multimodal Interactive Dashboard of Disaster Management Systems
by Abeer AlAbdulaali, Amna Asif, Shaheen Khatoon and Majed Alshamari
Sensors 2022, 22(11), 4292; https://0-doi-org.brum.beds.ac.uk/10.3390/s22114292 - 05 Jun 2022
Cited by 6 | Viewed by 3466
Abstract
Disasters and crises are inevitable in this world. In the aftermath of a disaster, a society’s overall growth, resources, and economy are greatly affected as they cause damages from minor to huge proportions. Around the world, countries are interested in improving their emergency [...] Read more.
Disasters and crises are inevitable in this world. In the aftermath of a disaster, a society’s overall growth, resources, and economy are greatly affected as they cause damages from minor to huge proportions. Around the world, countries are interested in improving their emergency decision-making. The institutions are paying attention to collecting different types of data related to crisis information from various resources, including social media, to improve their emergency response. Previous efforts have focused on collecting, extracting, and classifying crisis data from text, audio, video, or files; however, the development of user-friendly multimodal disaster data dashboards to support human-to-system interactions during an emergency response has received little attention. Our paper seeks to fill this gap by proposing usable designs of interactive dashboards to present multimodal disaster information. For this purpose, we first investigated social media data and metadata for the required elicitation and analysis purposes. These requirements are then used to develop interactive multimodal dashboards to present complex disaster information in a usable manner. To validate our multimodal dashboard designs, we have conducted a heuristic evaluation. Experts have evaluated the interactive disaster dashboards using a customized set of heuristics. The overall assessment showed positive feedback from the evaluators. The proposed interactive multimodal dashboards complement the existing techniques of collecting textual, image, audio, and video emergency information and their classifications for usable presentation. The contribution will help the emergency response personnel in terms of useful information and observations for prompt responses to avoid significant damage. Full article
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