Special Issue "Inter and Multidisciplinary Interactions for Future Knowledge and Development"

A special issue of Multimodal Technologies and Interaction (ISSN 2414-4088).

Deadline for manuscript submissions: closed (20 November 2018).

Special Issue Editors

Prof. Dr. Carlos M. Travieso-González
Website SciProfiles
Guest Editor
Signals and Communications Department, Institute for Technological Development and Innovation in Communications (IDeTIC), University of Las Palmas de Gran Canaria (ULPGC), Campus Universitario de Tafira, sn. Telecomunicación. Pabellón B. D-111. E-35017. Las Palmas de Gran Canaria, Spain
Interests: biometrics; biomedical signals; data mining
Special Issues and Collections in MDPI journals
Dr. Fernando Morgado-Dias
Website
Guest Editor
Universidade da Madeira, Madeira Interactive Technologies Institute and ITI/Larsys, 9000-082 Funchal, Portugal
Interests: artificial neural networks; artificial intelligence; sleep monitoring; FPGA; digital hardware; modelling, renewable and energy policy
Special Issues and Collections in MDPI journals
Prof. Petrică C. Pop
Website
Guest Editor
Department of Mathematics and Informatics, Technical University of Cluj-Napoca, North University Center of Baia Mare, 430122 Baia Mare, Romania
Interests: combinatorial optimization; multiobjective optimization; computational intelligence; evolutionary computation; metaheuristics
Special Issues and Collections in MDPI journals
Dr. Dora Isabel Fialho Pereira
Website
Guest Editor
Deptment of Psychology, Faculty of Arts and Humanities, University of Madeira, Campus da Penteada, 9020-105 Funchal, Portugal
Interests: parenting assessment; child protection; systemic intervention; parenting capacity; parenting skills; mental health
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

You are kindly invited to submit your manuscripts to this Special Issue on “Inter and Multidisciplinary Interactions for Future Knowledge and Development”.

Modern research faces unprecedented challenges, as multiple complex systems interact with each other. Machine-to-Machine (M2M) and Human-to-Machine (H2M) are at the core of modern interactions. On the one hand, rapid advances in machine-learning are leading to the dissemination of autonomous agents, such as robots, drones, and even self-driving vehicles which heavily rely on M2M interactions. On the other hand, there are us, humans, that need to adapt to these rapid developments and the ever-growing complexity of modern H2M interactions.

This Special Issue is targeted at researchers working on inter and multidisciplinary approaches for improved M2M and H2M interactions. Manuscripts are expected, but not limited to, the following topics: Smart wearable technology, psychology and neuroscience, multimodal technology and user interfaces, theoretical, social and cultural issues of M2M and H2M interactions, and case studies on M2M and H2M interactions.

Dr. Carlos Travieso
Dr. Morgado Dias
Dr. Petrica Pop-Sitar
Prof. Dora Pereira
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 papers will be 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. Multimodal Technologies and Interaction is an international peer-reviewed open access quarterly 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 1000 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

  • Machine-to-Machine
  • Human-to-Machine
  • Internet of Everything
  • Big Data Applications
  • Human Behavior
  • Biomedical Applications

Published Papers (2 papers)

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Research

Open AccessArticle
Education and Attachment: Guidelines to Prevent School Failure
Multimodal Technologies Interact. 2019, 3(1), 10; https://doi.org/10.3390/mti3010010 - 20 Feb 2019
Cited by 1
Abstract
Portuguese schools have high student failure and early school leaving rates (Pordata, 2017) giving rise to a number of initiatives aimed at their reduction. The “Alternative Curricular Course” (ACC) promotes the learning of basic skills, specifically in Portuguese language and Mathematics, to support [...] Read more.
Portuguese schools have high student failure and early school leaving rates (Pordata, 2017) giving rise to a number of initiatives aimed at their reduction. The “Alternative Curricular Course” (ACC) promotes the learning of basic skills, specifically in Portuguese language and Mathematics, to support logical reasoning and artistic, vocational, and professional development. Its main goal is the fulfilment of compulsory schooling and the reduction of academic failure. Research based on attachment theory (Bowlby, 1969) suggests that different internal working models of attachment are associated with different characteristics of social, academic, emotional, and behavioural competencies that may interfere in the quality of relationships that young people establish in school, especially with teachers, and also influence their academic performance. This study evaluates the relationship between internal working models of students, their perceptions of the quality of their relationships with teachers, and their academic performance using three measures: (i) the “Inventory of Attachment in Childhood and Adolescence” (IACA) measure, (ii) the “Inventory of Parent and Peer Attachment” (IPPA) measure—concerning the attachment to teacher”, and (iii) a socio-demographic questionnaire on a sample of 305 students from the 8th grade of regular education (RE) and the ACC. The results reveal that students on the ACC exhibit a less secure internal working model than students in RE, and that the perception of the quality of the student-teacher relationship, regarding the dimension of acceptance and understanding by the teachers, is associated with a better academic performance. These results align with those of other recent studies in support of the conclusion that the process of attachment has a significant influence on educational contexts, consistent with attachment and related theories. Full article
Open AccessArticle
A Low-Cost Prototype for Driver Fatigue Detection
Multimodal Technologies Interact. 2019, 3(1), 5; https://doi.org/10.3390/mti3010005 - 02 Feb 2019
Abstract
Driver fatigue and inattention accounts for up to 20% of all traffic accidents, therefore any system that can warn the driver whenever fatigue occurs proves to be useful. Several systems have been devised to detect driver fatigue symptoms, such as measuring physiological parameters, [...] Read more.
Driver fatigue and inattention accounts for up to 20% of all traffic accidents, therefore any system that can warn the driver whenever fatigue occurs proves to be useful. Several systems have been devised to detect driver fatigue symptoms, such as measuring physiological parameters, which can be uncomfortable, or using a video or infrared camera pointed at the driver’s face, which in some cases, may cause privacy concerns for the driver. Usually these systems are expensive, therefore a brief discussion on low-cost fatigue detection systems is presented, followed by a proposal for a non-intrusive low-cost prototype, that aims to detect driver fatigue symptoms. The prototype consists of several sensors that monitor driver physical parameters and vehicle behaviour, with a total system price close to 30 euros. The prototype is discussed and compared with similar systems, pointing out its strengths and weaknesses. Full article
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