Article
Computer Science, Cybernetics
Miaohong Huang, Eyun-Jung Ki
Summary: AI-powered healthcare chatbots have great potential in enhancing communication and fostering stronger relationships between healthcare organizations and the public. A study found that different anthropomorphic design cues of chatbots influence users' trust and acceptance. When chatbots have human-like cues, users tend to trust those that show warmth, while machine-like cues generate higher trust levels with a competent conversation style. Trust in human-computer interactions further enhances users' intentions to continue using the chatbot and follow its recommendations, as well as strengthening relational trust and satisfaction with the healthcare organization.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Cybernetics
Liu Wang, Mengjie Huang, Rui Yang, Chengxuan Qin, Ji Han, Hai-Ning Liang
Summary: This study investigates the impact of movement modulation on users' experience of control and motor performance in virtual reality, finding significant effects on both aspects.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Cybernetics
Julia Offermann, Caterina Maidhof, Martina Ziefle
Summary: Changing age structures, increasing demands for care, and personnel shortages require innovative approaches to support older and frail people. Visual Ambient Assisted Living (AAL) technologies are promising in enhancing well-being, safety, and independence. However, concerns regarding privacy and data security are closely connected with the use of visual AAL technology.
UNIVERSAL ACCESS IN THE INFORMATION SOCIETY
(2023)
Article
Computer Science, Cybernetics
Federica Nenna, Davide Zanardi, Patrik Pluchino, Luciano Gamberini
Summary: This study systematically assessed the experiential, behavioral, and cognitive factors of young and senior users during simulated robotic teleoperations in virtual reality. The results showed that senior users demonstrated comparable precision in operating the robotic arm to their younger counterparts, despite being slower and experiencing increased fatigue under specific conditions. Both age groups reported similar levels of perceived fatigue.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Crescencio Bravo, Rafael Duque, Ana I. Molina, Jesus Gallardo
Summary: Groupware has been stable in meeting users' technical requirements, but it is currently facing pressure due to the pandemic and the introduction of new digital collaboration settings. To simplify the design, a visual modeling technique based on a conceptual framework has been proposed to describe awareness requirements in groupware systems.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2023)
Article
Computer Science, Cybernetics
Hui Zhao, Xian Cheng, Jing Gao, Guikun Yu
Summary: This paper constructs a risk index system for smart city PPP projects and establishes a risk sharing model. The authors calculate the weights of each risk index and determine the sharing ratio of jointly borne risks. The applicability and feasibility of the model are verified through empirical analysis.
Article
Computer Science, Cybernetics
Ngoc Thi Nguyen, Maria Zubair, Agustin Zuniga, Sasu Tarkoma, Pan Hui, Hyowon Lee, Simon Tangi Perrault, Mostafa H. Ammar, Huber Flores, Petteri Nurmi
Summary: This study examines user's valuations and mediating factors of smartphone sensing resources through an auction study. The results show that most users are willing to share even highly-privacy intrusive sensors if they are sufficiently compensated, but the values placed on different sensors vary. The value of sharing resources is influenced by the perceived value of sensor type, data captured, device impact, and personal differences.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Computer Science, Cybernetics
Julia Brailovskaia, Isabel Becherer, Vanessa Wicker, Holger Schillack, Juergen Margraf
Summary: Intensive social media use can have negative effects on employees' work performance and mental health. This experimental study found that reducing non-work-related social media use can decrease work overload, stress symptoms, fear of missing out, and addictive social media use, while increasing work satisfaction and positive mental health.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2023)
Article
Automation & Control Systems
Xiaofeng Liao, You Zhao, Xian Zhou
Summary: In recent years, Riemannian geometry has been widely applied to solve nonlinear programming problems, and a class of neurodynamic flow approaches has been proposed, which have global convergence and feasibility in seeking the minimum point of convex and quasi-convex minimum problems. Furthermore, the approach can also be adapted to competitive neural networks and image and signal processing in compressive sensing.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Tongxiang Li, Bo Chen, Shichao Liu, Zheming Wang, Wen-An Zhang, Li Yu
Summary: This study proposes a unified intrusion detection mechanism and dynamic data encryption scheme to efficiently detect and protect cyber-physical systems from various attacks, without degrading system performance.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Computer Science, Cybernetics
Mario Quinde, Juan Quinde
Summary: This research project focuses on developing and validating a web-based business intelligence system for micro and small Peruvian retailers, in order to enhance their competitiveness. The results show the users' assessment of the system usability and its impact on their daily operations.
UNIVERSAL ACCESS IN THE INFORMATION SOCIETY
(2023)
Article
Computer Science, Cybernetics
Muhammad Aamir Shaheen, Shoaib Aslam, Salman Mahmood, Mumtaz Ahmad, Sumaira Tabassum
Summary: This research examines the indirect relationship between behavioral intentions and financial inclusion, specifically via the serial mediation of service trust, use behavior, and financial literacy.
Article
Computer Science, Cybernetics
Seniz Ozhan, Erkan Ozhan, Ozge Habiboglu
Summary: This study quantitatively reveals and evaluates the relationship between brand reputation and consumers' willingness to pay premium prices using a combination of artificial intelligence algorithms and regression analysis.
Article
Computer Science, Cybernetics
Shanshan Shang, Nana Ni
Summary: This study investigates the effects of storytelling and player perspective on learning outcomes, using the framework of game-based learning. It also explores the mediating roles of four distinct types of engagement: behavioral, cognitive, affective, and social. The results show that adding game elements significantly enhances perceived learning effectiveness and performance. Surprisingly, linear storytelling and third-person perspective have a stronger positive impact on learning outcomes compared to nonlinear storytelling and first-person perspective. The four types of engagement play critical roles in explaining the effect mechanism.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Automation & Control Systems
Jianghong Ma, Weixuan Kou, Mingquan Lin, Carmen C. M. Cho, Bernard Chiu
Summary: The fusion of multiview data sets, enforcing consensus and complementarity among views, is increasingly important in the big data era. This article introduces a framework called MVLSP-2C that simultaneously enforces both principles, extracting shared information in a shared latent space and achieving complementarity among views in view-specific spaces. MVLSP-2C improves diversity by minimizing the similarity between the shared and view-specific representations. Experimental results demonstrate that MVLSP-2C produces more accurate classification results compared to state-of-the-art methods.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Xinyao Li, Ying Zou, Chao Deng
Summary: This work explores the development of a backstepping-based adaptive control method for nonlinear fractional-order systems with systematic uncertainties, time-varying external disturbances, and quantized control input. A novel analog chain rule computation method is proposed to handle the fractional derivatives of composite functions encountered in the backstepping procedure. A quantified adaptive controller is designed to guarantee system stability and convergence of the tracking error using the direct fractional Lyapunov method. Simulated studies confirm the effectiveness of the control strategy.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Computer Science, Cybernetics
Dezhao Tang, Qiqi Cai, Tiandan Nie, Yuanyuan Zhang, Jinghua Wu
Summary: This study explores the integration of artificial intelligence and quantitative investment in agricultural futures price prediction. It addresses the limitations of traditional models in testing spatial transmission relationships in time series and the inability to obtain future prices of other variable factors. The research proposes innovative methods to address these challenges and achieve better prediction results.
Article
Computer Science, Cybernetics
Agnieszka Maria Koziel, Chien-wen Shen
Summary: This research aims to understand the factors that influence consumers' preference for mobile fintech services over traditional banking institutions. The study focuses on users' demographics and psychographics to identify their unique segments and profiles. The research proposes a framework that includes variance analysis, cluster analysis, and statistical tests to create distinct customer clusters and validate them.
Article
Automation & Control Systems
Xiaoxuan Wang, Shaofu Yang, Zhenyuan Guo, Quanbo Ge, Shiping Wen, Tingwen Huang
Summary: This article presents a solution to the k-winner-take-all (kWTA) problem with large-scale inputs in a distributed setting. A multiagent system is proposed, where each agent has a 1-D system and interacts with others through binary consensus protocols. The system convergence is proven using differential inclusion theory, and a novel comparison filter is introduced to eliminate the resolution ratio requirement on the input signal.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Computer Science, Cybernetics
Srikant Suddekunte, Sourya Joyee De, Manojit Chattopadhyay
Summary: Online Privacy Literacy (OPL), referring to the skills and knowledge individuals possess to protect their privacy online, is crucial in the digital era where privacy challenges arise from extensive data collection. However, research on OPL is still in its early stages. Through a systematic review of 57 articles, this study offers a theoretical connection to privacy research, defining and measuring OPL and identifying its primary knowledge domains. The study also highlights unexplored areas, providing a roadmap for future research and guiding the development of effective privacy protection measures.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2023)
