Human–Computer Interaction in Smart Cities

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 1315

Special Issue Editor


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Guest Editor
Institute of Applied Physics and Measurement Science, Universität der Bundeswehr München, 85577 Neubiberg, Germany
Interests: smart sensors; human–computer interaction

Special Issue Information

Dear Colleagues,

Cities and urban areas need to be managed in new, intelligent ways. Energy efficiency, mobility, safety, environmental preservation, health and well-being and many more aspects must be adapted, transformed and modernized to master the great challenges of the future.

To manage assets and resources effectively and efficiently, Smart Cities use different means to collect, evaluate and distribute data from sensors and sensor networks, including information extracted from social networks. For best governance, all these data and information sources should be combined in new, intelligent ways, applying model-based approaches and artificial intelligence to generate reliable knowledge and forecasts in order to efficiently manage vital aspects such as energy supply, water use, building management and environmental aspects, among others.

Along with the challenges related to technical requirements and big data comes the intriguing question of how humans interact with technical systems, information resources, and work structures, especially if they are new and unfamiliar. Intuitive interaction, or intuitive use, is the ultimate goal of engineers and designers. Work on intuitive interaction to ensure usefulness and usability has been gaining pace.

Research on comfortable, efficient, user-centered human–computer interaction is significant because it provides the tools to master the rising variety of interconnected, ubiquitous smart devices in our environment in a desirable way. It opens spaces for studies of innovative urban initiatives for better quality of life, taking the ideas and experiences of people from many sectors and ages into consideration.

This Special Issue is concerned with the multi-dimensional aspects at the interface of humans—with their experiences, expectations, capabilities and desires—and technical devices, resources and systems needed to make our homes and cities smart, comfortable and sustainable. Potential topics, with particular emphasis on the personal context, include:

  • HCI for smart homes and buildings;
  • HCI for energy-efficient transportation and mobility;
  • HCI for devices and systems for energy, water and waste management;
  • HCI for devices and systems for health, safety, well-being, and active aging;
  • IoT interoperability, management and control platforms;
  • Sensors and sensor networks for localization technologies;
  • AI approaches, mining and analytics for touch, speech, and gestures;
  • Usability testing, elicitation studies;
  • Citizen participation and citizen science.

Dr. Heinrich Ruser
Guest Editor

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. Information is an international peer-reviewed open access monthly 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 1600 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

  • active aging
  • artificial intelligence
  • buildings and infrastructures
  • citizen participation
  • citizen science
  • control platforms
  • data fusion
  • design for all
  • energy management
  • health and well-being
  • human–computer interface
  • Internet of Things
  • interoperability
  • mining and analytics
  • mobility and localization
  • sensors
  • sensor networks
  • smart home
  • smart city
  • usefulness
  • usability

Published Papers (1 paper)

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Research

16 pages, 931 KiB  
Article
Learning Circuits and Coding with Arduino Board in Higher Education Using Tangible and Graphical User Interfaces
by Sokratis Tselegkaridis, Theodosios Sapounidis and Dimitrios Papakostas
Information 2024, 15(5), 245; https://doi.org/10.3390/info15050245 - 24 Apr 2024
Viewed by 656
Abstract
The integration of the Arduino board into educational settings has penetrated across various educational levels. The teaching of this subject can be accomplished by (a) using real components in breadboards, (b) prefabricated modular boards that snap together, and (c) utilizing computer simulations. Yet, [...] Read more.
The integration of the Arduino board into educational settings has penetrated across various educational levels. The teaching of this subject can be accomplished by (a) using real components in breadboards, (b) prefabricated modular boards that snap together, and (c) utilizing computer simulations. Yet, it is unknown which interface offers a more effective learning experience. Therefore, this experimental study aims to compare the effectiveness of these interfaces in a series of three laboratory exercises involving 110 university students, who were divided into three groups: (a) the first group used a tangible user interface, implementing circuits on breadboards, (b) the second group also used a tangible interface but with modular boards, and (c) the third group used a graphical user interface to simulate circuits using Tinkercad. For each laboratory exercise, students completed both pretests and posttests. Also, they provided feedback through five Likert-type attitude questions regarding their experiences. In terms of data analysis, t-tests, ANOVA, and ANCOVA, along with bootstrapping, and principal component analysis were employed. The results suggest that among the participants, those who used a graphical user interface stated that their understanding of the interconnection of components in microcontroller circuits was enhanced, while students with previous experience in microcontroller labs found the circuit creation process easier than students without experience. Full article
(This article belongs to the Special Issue Human–Computer Interaction in Smart Cities)
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