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HCI for Ambient Intelligence

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

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 10912

Special Issue Editors


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Guest Editor
Department of Mathematics and Computer Science, University of the Balearic Islands, 07122 Palma, Spain
Interests: HCI; perceptual user interfaces; brain–computer interfaces; social robotics; biosignals; RV/RA

E-Mail Website
Guest Editor
Department of Mathematics and Computer Science, University of the Balearic Islands, 07122 Palma, Spain
Interests: human–computer interaction; ambient intelligence; assistive technologies; explainable artificial intelligence

E-Mail Website
Guest Editor
Architecture, Design and Media Technology, School of ICT, Aalborg University, 9220 Aalborg, Denmark
Interests: HCI; ambient intelligence; virtual interactive space (VIS); cusp frictions between disciplines; control/non-control; human-centered design; afferent–efferent neural feedback loop closure; reafferentation; physical modeling analogy of “decoupling” as design strategy in (re)habilitation; art and technology, interaction and game creation

Special Issue Information

Dear Colleagues,

Ambient Intelligence (AmI) brings intelligence to everyday environments, making them more sensitive and adaptive to human needs, preferences, and interests. Practical settings and scenarios to integrate AmI applications include homes, buildings, or even outdoor environments.

AmI is a multidisciplinary field which involves automation (sensors, control, and actuators), human–computer interaction, artificial intelligence, or ubiquitous computing. Intelligent interfaces spread and embedded in the environment are aware of the context and recognize the presence of persons and respond seamlessly to them, forecasting their needs and supporting them in their daily life.

This Special Issue will address the latest breakthroughs and recent research advances in “HCI for Ambient Intelligence”. Both original, state-of-the-art contributions and review papers are welcome, covering, though not limited to, the following areas:

  • Novel interactive systems for AmI;
  • Interaction design and novel user interfaces for AmI;
  • Novel sensing technologies;
  • Human activity recognition;
  • User experiences in AmI;
  • Social robots in AmI;
  • Explanation interfaces for AmI.

Dr. Francisco José Perales
Dr. Cristina Manresa-Yee
Dr. Anthony Lewis Brooks
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.

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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
  • ambient intelligence
  • artificial intelligence
  • sensors
  • context awareness

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Published Papers (2 papers)

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Research

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28 pages, 8186 KiB  
Article
Cognitive Accessibility and Support in Special Education
by Miguel A. Guillomía, José Ignacio Artigas and Jorge L. Falcó
Sensors 2021, 21(14), 4871; https://doi.org/10.3390/s21144871 - 16 Jul 2021
Cited by 4 | Viewed by 3396
Abstract
This work describes an assistive technology development for cognitive support and training to be used by children of special education schools in Spain. Design is based on and guided by cognitive support findings coming from a long-term collaboration of a team of engineers [...] Read more.
This work describes an assistive technology development for cognitive support and training to be used by children of special education schools in Spain. Design is based on and guided by cognitive support findings coming from a long-term collaboration of a team of engineers (University of Zaragoza) and special education teachers (Alborada Special Education School, Zaragoza). The description starts by providing a structure of such findings in five cognitive-social areas (interface usability, virtual representations understanding, time orientation, self-awareness, and social interaction). Design requirements are extracted by applying those findings to four support services (home control, time orientation, behavior contention, and context anticipation). Technological system description follows, together with the degree of implementation and testing for each service. A major result is the benefit of using a services interface with the same structure and appearance as the alternative and augmentative communication system that children are already acquainted with. Based on regulatory conditions, the needed flexibility, and reduced available budgets, this support platform is built on mainstream technology and low-cost single-board computers with standard databases and free software packages. Results show evidence of benefit in children’s cognitive and social performance, in addition to offering a technological tool for deeper educational research. Full article
(This article belongs to the Special Issue HCI for Ambient Intelligence)
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39 pages, 1793 KiB  
Systematic Review
Affective Communication for Socially Assistive Robots (SARs) for Children with Autism Spectrum Disorder: A Systematic Review
by Sandra Cano, Carina S. González, Rosa María Gil-Iranzo and Sergio Albiol-Pérez
Sensors 2021, 21(15), 5166; https://doi.org/10.3390/s21155166 - 30 Jul 2021
Cited by 17 | Viewed by 6245
Abstract
Research on affective communication for socially assistive robots has been conducted to enable physical robots to perceive, express, and respond emotionally. However, the use of affective computing in social robots has been limited, especially when social robots are designed for children, and especially [...] Read more.
Research on affective communication for socially assistive robots has been conducted to enable physical robots to perceive, express, and respond emotionally. However, the use of affective computing in social robots has been limited, especially when social robots are designed for children, and especially those with autism spectrum disorder (ASD). Social robots are based on cognitive-affective models, which allow them to communicate with people following social behaviors and rules. However, interactions between a child and a robot may change or be different compared to those with an adult or when the child has an emotional deficit. In this study, we systematically reviewed studies related to computational models of emotions for children with ASD. We used the Scopus, WoS, Springer, and IEEE-Xplore databases to answer different research questions related to the definition, interaction, and design of computational models supported by theoretical psychology approaches from 1997 to 2021. Our review found 46 articles; not all the studies considered children or those with ASD. Full article
(This article belongs to the Special Issue HCI for Ambient Intelligence)
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