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Applied Sciences
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Current Trends in Human-Computer Interaction(HCI)
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Current Trends in Human-Computer Interaction(HCI)

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (20 April 2023) | Viewed by 6570

Special Issue Editors

Prof. Dr. Daeho Lee

E-Mail Website
Guest Editor
Department of Interaction Science, Sungkyunkwan University, Seoul 110-745, Korea
Interests: human-computer interaction in digital content; ICT policy; Internet of Things
Dr. Young June Sah

E-Mail Website
Guest Editor
Department of Media & Entertainment, Sogang University, Seoul 151-252, Korea
Interests: human-AI interaction; anthropomorphism; user experience

Special Issue Information

Dear Colleagues,

The recent advent of artificial intelligence (AI) is affecting almost every aspect of our lives. Digital devices are connected to the Internet and generate a great amount of data, and this data is analyzed by machine learning and deep learning to make digital devices more intelligent. It would not be an exaggeration to say that everything that can be connected to the Internet is being affected by, and evolved by, artificial intelligence. Smarter products go beyond simply making it easier for users to do more things with them, and redefine the way users interact with them. The advent of AI chatbots has made it possible to communicate with machines that are very similar to humans, and AI-based voice assistants such as Siri and Bixby have enabled vocal interaction rather than manual inputs.

In this Special Issue, we look at the current trends in human-computer interaction and explore how recent advancements in various information technologies cause changes in the way of interacting with devices, digital contents, and data, and what consequences these changes bring about at psychological, organizational, and societal levels.

Prof. Dr. Daeho Lee
Dr. Young June Sah
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. Applied Sciences 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

  • human-computer interaction
  • user experience
  • human-AI interaction
  • artificial intelligence
  • smart devices
  • digital content
  • chatbot
  • voice interface

Published Papers (3 papers)

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Research

14 pages, 310 KiB  
Article
Comparison of Media Company Performance Efficiency Based on the Search Engine’s Method of Providing News Content (External Links vs. Internal Links)
by Yongsun Cho, Daeho Lee and Inyoung Park
Appl. Sci. 2022, 12(23), 12327; https://doi.org/10.3390/app122312327 - 02 Dec 2022
Viewed by 1561
Abstract
The conflict between the search engine and the news media industries has become a fierce dispute. News media companies produce news content and receive advertising and subscription fees, however, search engines that select and place content that they did not create themselves do [...] Read more.
The conflict between the search engine and the news media industries has become a fierce dispute. News media companies produce news content and receive advertising and subscription fees, however, search engines that select and place content that they did not create themselves do not pay copyright fees, depending on the situation. We focused on search engines that use two hyperlink methods (external links vs. internal links) to deliver news content to consumers and analyzed how the two hyperlink methods affect the technical efficiency of media companies. Still, there have been few empirical studies on the performance efficiency of news media companies depending on how search engines provide news content. Analyzing by meta-frontier production function, the result shows when news services are provided through internal links, media companies are strongly constrained under the influence of search engines regardless of the companies’ size, financial status, and reputation. However, if a media company can provide a suitable user interface and high-quality content to consumers, the external link strategy can be competitive with the internal link strategy. The result of this study can be a starting point for resolving conflicts between search engines and the media industry. Full article
(This article belongs to the Special Issue Current Trends in Human-Computer Interaction(HCI))
16 pages, 12927 KiB  
Article
Investigating Media-User Interaction for Public Play Space in a Smart City
by Dohwa Lee and Sangwon Lee
Appl. Sci. 2022, 12(23), 11882; https://doi.org/10.3390/app122311882 - 22 Nov 2022
Cited by 2 | Viewed by 1186
Abstract
The problem of focusing only on the efficiency of an ICTs’ digital convergence in technology-oriented smart city construction has been raised. To address this problem, Plan Smart City Comprehensive Plan is in progress, excluding play spaces in public spaces where the city and [...] Read more.
The problem of focusing only on the efficiency of an ICTs’ digital convergence in technology-oriented smart city construction has been raised. To address this problem, Plan Smart City Comprehensive Plan is in progress, excluding play spaces in public spaces where the city and users communicate directly or indirectly. In addition, when looking at Christopher Alexander’s 253 pattern languages, which many scholars and experts consider as a study guide for urban planning projects, there is no design alternative for ICTs’ digital convergence for future smart cities. Therefore, in this study, we propose a 4th plan model for ICTs’ future smart city development regarding digital technology and a place-oriented digilog strategic plan. This model proposal is applied to an actual project where the user and the space can interact based on the user’s behavior analysis using the keywords of participation, sharing, and cooperation in the public play space. This study aims to verify the rational method of the ICTs’ smart city Future 4th plan model alternative. There is a strategic plan for ICTs’ participatory media user interaction in a public play space in which: 1. the way people behave in the space; 2. the way people interact with the space; 3. the way people accept the actions of others for entertainment and enjoyment. This study can contribute as a strategic plan for ICTs’ participatory media-user interaction in a public play space; it can contribute to the rational design of the presentation of digilog strategic planning. Full article
(This article belongs to the Special Issue Current Trends in Human-Computer Interaction(HCI))
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13 pages, 280 KiB  
Article
Can Voice Reviews Enhance Trust in Voice Shopping? The Effects of Voice Reviews on Trust and Purchase Intention in Voice Shopping
by Jaeun Seo, Daeho Lee and Inyoung Park
Appl. Sci. 2022, 12(20), 10674; https://doi.org/10.3390/app122010674 - 21 Oct 2022
Cited by 2 | Viewed by 1546
Abstract
Despite the high expectations of the voice shopping market, the impact of reviews and product types on voice commerce has yet to be explored. The purpose of this study is to investigate the effect of reviews and product types on users’ trust and [...] Read more.
Despite the high expectations of the voice shopping market, the impact of reviews and product types on voice commerce has yet to be explored. The purpose of this study is to investigate the effect of reviews and product types on users’ trust and purchase intentions in voice shopping. We explore users’ trust for voice shopping, trust in the vendor and purchase intention in three different types of reviews (i.e., no review, review by rating, and review by feature) and product types (i.e., search goods, experience goods, and convenience goods). We found that review conditions had a significant effect on purchase intentions and trust in voice shopping, whereas product types did not. Even within the review conditions, only the review by rating condition showed a significant difference from the no review condition. This study contributes to consumers and marketers by demonstrating the importance of providing rating reviews which requires a low cognitive load in the audio-centric environment. Full article
(This article belongs to the Special Issue Current Trends in Human-Computer Interaction(HCI))
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