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Advances in Human-Centered Digital Systems and Services
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Advances in Human-Centered Digital Systems and Services

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (15 April 2024) | Viewed by 11491

Special Issue Editors

Dr. Peter A. Kara

E-Mail Website
Guest Editor
Department of Networked Systems and Services, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, 1111 Budapest, Hungary
Interests: quality of experience; light field visualization; cognitive bias
Dr. Federica Battisti

E-Mail Website
Guest Editor
Department of Information Engineering, University of Padova, 35122 Padova, Italy
Interests: immersive media; quality assessment; quality of experience

Special Issue Information

Dear Colleagues,

The advent of the latest generation of digital systems and services has clearly demonstrated that Quality of Experience (QoE) is of paramount importance. However, research efforts towards the enhancement of QoE are not limited to such novel solutions, as there is much work to be done in all utilization contexts, in order to bridge the gap between what the users receive and what they actually want. The new approaches of the user-centered digital world are assisted by the proposals and findings of various scientific contributions. For instance, subjective studies enable a better understanding of the users’ point of view, objective metrics aim to comprehensively model the perception of the users, and databases provide the grounds for both subjective and objective quality assessment.

This Special Issue welcomes scientific contributions from all the domains of QoE, for any digital system or service. Whether it is the mapping between the key performance indicators of an emerging display system and the perceived visual quality, the performance evaluation of a novel human–computer interface, the investigation of human factors and inter-user effects of an upcoming metaverse solution, the impact assessment of cognitive bias for a dedicated device, or the cost-efficient yet human-centered resource optimization of a conventional digital service, all QoE-related research efforts may be published in this Special Issue. Beyond original, high-quality technical papers, we invite researchers to submit their reviews, tutorials, theoretical frameworks, and proposals.

We look forward to receiving your contributions.

Technical Committee Member:

Aniko Simon, Sigma Technology

Dr. Peter A. Kara
Dr. Federica Battisti
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. Electronics 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 2400 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

  • quality of experience
  • human-centered solutions
  • subjective studies
  • objective metrics
  • databases

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (5 papers)

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Research

20 pages, 16671 KiB  
Article
A Light-Field Video Dataset of Scenes with Moving Objects Captured with a Plenoptic Video Camera
by Kamran Javidi and Maria G. Martini
Electronics 2024, 13(11), 2223; https://doi.org/10.3390/electronics13112223 - 6 Jun 2024
Viewed by 1488
Abstract
Light-field video provides a detailed representation of scenes captured from different perspectives. This results in a visualisation modality that enhances the immersion and engagement of the viewers with the depicted environment. In order to perform research on compression, transmission and signal processing of [...] Read more.
Light-field video provides a detailed representation of scenes captured from different perspectives. This results in a visualisation modality that enhances the immersion and engagement of the viewers with the depicted environment. In order to perform research on compression, transmission and signal processing of light field data, datasets with light-field contents of different categories and acquired with different modalities are required. In particular, the development of machine learning models for quality assessment and for light-field processing, including the generation of new views, require large amounts of data. Most existing datasets consist of static scenes and, in many cases, synthetic contents. This paper presents a novel light-field plenoptic video dataset, KULFR8, involving six real-world scenes with moving objects and 336 distorted light-field videos derived from the original contents; in total, the original scenes in the dataset contain 1800 distinctive frames, with angular resolution of 5×5 with and total spatial resolution of 9600×5400 pixels (considering all the views); overall, the dataset consists of 45,000 different views with spatial resolution of 1920×1080 pixels. We analyse the content characteristics based on the dimensions of the captured objects and via the acquired videos using the central views extracted from each quilted frame. Additionally, we encode and decode the contents using various video encoders across different bitrate ranges. For quality assessments, we consider all the views, utilising frames measuring 9600×5400 pixels, and employ two objective quality metrics: PSNR and SSIM. Full article
(This article belongs to the Special Issue Advances in Human-Centered Digital Systems and Services)
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19 pages, 3609 KiB  
Article
Semantic-Based Public Opinion Analysis System
by Jian-Hong Wang, Ming-Hsiang Su, Yu-Zhi Zeng, Vivian Ching-Mei Chu, Phuong Thi Le, Tuan Pham, Xin Lu, Yung-Hui Li and Jia-Ching Wang
Electronics 2024, 13(11), 2015; https://doi.org/10.3390/electronics13112015 - 22 May 2024
Cited by 1 | Viewed by 1397
Abstract
In the research into semantic sentiment analysis, researchers commonly use some factor rules, such as the utilization of emotional keywords and the manual definition of emotional rules, to increase accuracy. However, this approach often requires extensive data and time-consuming training, and there is [...] Read more.
In the research into semantic sentiment analysis, researchers commonly use some factor rules, such as the utilization of emotional keywords and the manual definition of emotional rules, to increase accuracy. However, this approach often requires extensive data and time-consuming training, and there is a need to make the system simpler and more efficient. Recognizing these challenges, our paper introduces a new semantic sentiment analysis system designed to be both higher in quality and more efficient. The structure of our proposed system is organized into several key phases. Initially, we focus on data training, which involves studying emotions and emotional psychology. Utilizing linguistic resources such as HowNet and the Chinese Knowledge and Information Processing (CKIP) techniques, we develop emotional rules that facilitate the generation of sparse representation characteristics. This process also includes constructing a sparse representation dictionary. We can map these back to the original vector space by resolving the sparse coefficients, representing two distinct categories. The system then calculates the error compared to the original vector, and the category with the minimum error is determined. The second phase involves inputting topics and collecting relevant comments from internet forums to gather public opinion on trending topics. The final phase is data classification, where we assess the accuracy of classified issues based on our data training results. Additionally, our experimental results will demonstrate the system’s ability to identify hot topics, thus validating our semantic classification models. This comprehensive approach ensures a more streamlined and effective system for semantic sentiment analysis. Full article
(This article belongs to the Special Issue Advances in Human-Centered Digital Systems and Services)
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19 pages, 453 KiB  
Article
Oral vs. Touch Interaction for Cognitive Assessment: Acceptance and Perceived Usability by Senior Adults
by Moisés Pacheco Lorenzo, Noelia Lago Priego, Manuel José Fernández Iglesias, Luis Anido Rifón and Iván Otero-González
Electronics 2024, 13(1), 13; https://doi.org/10.3390/electronics13010013 - 19 Dec 2023
Viewed by 1466
Abstract
There is a digital divide between senior adults and the general population because of the disparity in access and usage of digital technologies, including the internet and modern devices, often stemming from factors like age, familiarity, and socioeconomic status. Yet, technology is increasingly [...] Read more.
There is a digital divide between senior adults and the general population because of the disparity in access and usage of digital technologies, including the internet and modern devices, often stemming from factors like age, familiarity, and socioeconomic status. Yet, technology is increasingly penetrating the healthcare sector in areas such as screening, diagnosis, treatment, and follow-up. This study focuses on investigating how older adults perceive the introduction of new devices in the screening and diagnosis of cognitive impairment. For this, a perception study was carried out involving 25 senior adults, 16 women and 9 men, aged between 60 and 93 years, living in the Vigo area, Spain. First, the perception and acceptability of popular technological devices were evaluated by means of the technology acceptance model. Then, participants’ perceptions about the use of smart speakers and tablets for cognitive evaluation were analyzed, both before and after interacting with such devices. Finally, the perception of their caregivers about these tools was also studied. These instruments were found to be useful and enjoyable by older adults. More specifically, smart speakers were preferred by participants over traditional tests for detecting cognitive decline. Additionally, there were no significant differences in the perception of utility, ease of use, or enjoyment between tablets and smart speakers. Participants’ caregivers also reported an overall positive perception about the introduction of these new tools for cognitive assessment. In any case, the study provided evidence to support the introduction of both tablets and smart speakers to interact with older adults, and more specifically, as a means to facilitate the early detection and screening of cognitive decline. Full article
(This article belongs to the Special Issue Advances in Human-Centered Digital Systems and Services)
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37 pages, 739 KiB  
Article
Influence Factors on User Manual Engagement in the Context of Smart Wearable Devices
by Aniko Simon, Xinyu Qiu, Nikolett Selmeczi-Kovacs, Ildiko Feher, Gabriella Alexi and Peter A. Kara
Electronics 2023, 12(17), 3539; https://doi.org/10.3390/electronics12173539 - 22 Aug 2023
Viewed by 2710
Abstract
The emergence of smart wearable devices has gradually introduced a vast array of functions that may greatly serve the everyday needs of users. Although their ever-increasing list of capabilities may be compensated for by intuitive design, users may still have numerous reasons to [...] Read more.
The emergence of smart wearable devices has gradually introduced a vast array of functions that may greatly serve the everyday needs of users. Although their ever-increasing list of capabilities may be compensated for by intuitive design, users may still have numerous reasons to engage with their user manuals. In this paper, we present four research efforts on the user manuals of smart wearable devices. Our work tackles various influence factors, investigates user behavior, and studies how the device itself affects user manual engagement, as well as the other way around. The research efforts address user experience and behavior, personal preference, device attributes, and the performance metrics of user manuals. We specifically studied smartwatches and smart bands, and explored engagement with medical-purpose smart wearables and their user manuals. As a novelty of our contribution, we classify test participants as regular users, professional users, and technical writers, based on their connection to user manuals, and separately analyze their responses to our questionnaire-based research efforts. The obtained results indicate that user experience and device complexity as influence factors have a statistically significant impact on user manual engagement for regular users, and highlight how regular users and technical writers differ in preference and search-related tasks. Full article
(This article belongs to the Special Issue Advances in Human-Centered Digital Systems and Services)
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16 pages, 1017 KiB  
Article
Does Technology Orientation Determine Innovation Performance through Digital Innovation? A Glimpse of the Electronic Industry in the Digital Economy
by Abdelmohsen A. Nassani, Adriana Grigorescu, Zahid Yousaf, Elena Condrea, Asad Javed and Mohamed Haffar
Electronics 2023, 12(8), 1854; https://doi.org/10.3390/electronics12081854 - 14 Apr 2023
Cited by 8 | Viewed by 3607
Abstract
This study aims to explore the impact of technology orientation on innovation performance in the electronic industry operating in the digital economy. This study also investigates the mediating role of digital innovation (a special type of innovation that is based on digital technologies) [...] Read more.
This study aims to explore the impact of technology orientation on innovation performance in the electronic industry operating in the digital economy. This study also investigates the mediating role of digital innovation (a special type of innovation that is based on digital technologies) in the relationship between technology orientation and innovation performance. Primary data, based on perception, was collected from operational managers of electronic firms. Correlation and regression analyses were used to test the direct relationship among digital innovation, innovation performance, and technology orientation. The stepwise regression model was used to check the indirect relationship (mediation analysis). Findings revealed that technology orientation is a major predictor of innovation performance in the electronic industry. Results show that digital innovation acts as a bridge between technology orientation and innovation performance. This study investigates the nexus of technology orientation, digital innovation, and innovation performance in electronic firms. This study contextualizes electronic firms for the achievement of innovation performance through digitalization and technology orientation, which is a dire need of the current decade. Full article
(This article belongs to the Special Issue Advances in Human-Centered Digital Systems and Services)
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