Article
Computer Science, Cybernetics
Sandra Maria Siedl, Martina Mara
Summary: This study used guided focus groups to explore workers' perspectives and intentions towards adopting occupational exoskeleton technology. The results revealed that performance-related and effort-related factors, consistent with existing technology acceptance models, were highly recognized by the workers. Additionally, participants emphasized the importance of factors such as wellbeing, fairness, and the altered physical appearance of wearers in the social context of work.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Cybernetics
Mingming Li, Fu Guo, Jiahao Chen, Vincent G. Duffy
Summary: This study used EEG experiment to uncover the underlying neural dynamics and evaluate users' affective preference for humanoid robot voices. The results suggest that the neural dynamics primarily consist of early detection, further processing, and evaluative categorization of affective preference. The study contributes to understanding the auditory affective preference formation for humanoid robot voices and providing a neurological evaluation method.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Cybernetics
Pei-Hsuan Hsieh, Po- Hsu
Summary: The purpose of this study is to find an effective display mode that can best motivate software users to read software installation agreements before downloading, enhance their understanding of intellectual property rights, and prevent potential legal issues. The study found that the keyword mode was the most effective in keeping users focused on the key content.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Cybernetics
Khushnood Z. Naqshbandi, Yun-Hee Jeon, Naseem Ahmadpour
Summary: This study aims to investigate the socio-technical complexities of voluntary participation in a digital science-based research platform and propose recommendations to enhance volunteer motivation. Through a survey study of volunteers on the Step-Up for Dementia Research platform, the researchers identify the factors that facilitate or impede sustainable volunteer participation and the identities from which volunteers derive meaning from their work.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Cybernetics
Amir Dirin, Marko Nieminen, Teemu H. Laine
Summary: Creating emotionally engaging mobile applications involves considering technology, content, usability, and user experience. This study presents a FoB model for mobile application design, providing insights for design guidance.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Artificial Intelligence
Subin Raj, L. R. D. Murthy, Thanikai Adhithiyan Shanmugam, Gyanig Kumar, Amaresh Chakrabarti, Pradipta Biswas
Summary: This paper proposes a deep learning-based object detection technique and regression-based mapping technique to assist the assembly process. By combining eye gaze and hand tracking in a multimodal interface, and using an eye cursor to guide the user, the assembly speed and accuracy are improved. The research results show that the proposed guidance system performs well in user studies.
JOURNAL ON MULTIMODAL USER INTERFACES
(2023)
Article
Computer Science, Cybernetics
Fatma Burcu Topu, Rabia Meryem Yilmaz, Aysegul Takkac Tulgar
Summary: This study examined the interactions of children in the English learning process with AR-supported educational toys and identified the factors influencing their motivation. The results showed that the highest level of interaction was between students and the material, while the lowest level of interaction was between students. Additionally, the study found that factors such as attention, relevance, confidence, and satisfaction positively or negatively affected preschool children's motivation in learning English vocabulary with AR-supported materials.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Cybernetics
Jon Borregan-Alvarado, Izaskun Alvarez-Meaza, Ernesto Cilleruelo-Carrasco, Gaizka Garechana-Anacabe
Summary: This research work aims to identify, analyze, and map the technological profile of collaborative robots through patents. The research shows that the number of patents for collaborative robots has grown exponentially since 2016, with China leading in terms of the number of inventions. Other important countries in terms of development are Japan and Germany. The technological advances in this field mainly focus on manipulators and hand tools, including safety accessories and program-controlled manipulators.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Cybernetics
Rustam Shadiev, Ting-Ting Wu, Yueh Min Huang
Summary: This study examined the effects of using STR and SELT in lectures conducted in English as the medium of instruction. The results showed that SELT increased students' attention and meditation levels, and reduced learning anxiety.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Cybernetics
Abeera Islam, Afshan Naseem
Summary: This study explores the relationship between Industry 4.0 (I4.0) tools and organizational performance, and it finds evidence supporting the moderating role of remote working and organizational agility (OA) in enhancing organizational performance. The study uses quantitative research method and collects data from individuals working in Asian IT firms. It uncovers that I4.0 tools have a significant impact on organizational performance, especially in the IT sector, with the moderating influence of remote work and OA. Companies should encourage remote work and use I4.0 technology to support and manage it to increase organizational performance and agility.
Article
Automation & Control Systems
Mou Zhou, Changjing Shang, Qiang Shen
Summary: Fuzzy rule interpolation empowers fuzzy rule-based systems to infer even with sparse rule bases. This article introduces a groundbreaking rule-ranking-based method, RT-FRI, which streamlines the rule selection procedure by using ranking scores produced through aggregation functions. Experimental results show that RT-FRI is highly efficient and accurate.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Computer Science, Cybernetics
Zahid Sarwar, Zhihong Song
Summary: The study aims to investigate individual-level factors that may influence willingness to engage in unethical pro-organization behaviors (UPBs) and explore the influence of moral disengagement processes on this association.
Article
Computer Science, Cybernetics
Rosa M. Gil, Daniel Gutierrez-Ujaque, Merce Teixido
Summary: This paper explores the rapidly evolving relationship between the Metaverse, computer games, and blockchain technology, highlighting the ethical and societal implications. Through a hybrid research methodology, the authors investigate the intricate dynamics of this emerging field and reveal the global adoption and integration of the Metaverse with Blockchain. The paper discusses the transformative impact of this convergence, evaluating emerging ethical issues and the role of AI in gaming. The authors emphasize the continuous growth of the Metaverse and the need for future research to develop creative interaction strategies that prioritize ethical safeguards.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Cybernetics
Chengliang Wang, Jian Dai, Keke Zhu, Teng Yu, Xiaoqing Gu
Summary: The emergence of educational video platforms has made microlearning resources increasingly popular. By studying the technology acceptance model and task-technology fit theory, we found that perceived usefulness, perceived ease of use, and task-technology fit significantly impact user satisfaction. User satisfaction and task-technology fit also have a significant influence on users' intention to continue using online learning spaces.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Cybernetics
Yuguang Xie, Shuping Zhao, Peiyu Zhou, Liyan Lu, Changyong Liang, Li Jiang
Summary: An increasing number of product designers are adopting anthropomorphic design strategies to enhance the use of AI assistants. However, the ideal degree of anthropomorphism is still unclear. To explore the influence of different degrees of anthropomorphism on human-AI interaction quality, we conducted two scenario experimental studies. We also considered the impact difference between hedonic and utilitarian contexts. The results show that different degrees of anthropomorphism significantly affect human-AI interaction quality in different ways, with a pronounced positive effect observed when AI assistants have a medium-level degree of anthropomorphism. Furthermore, the positive relationship between anthropomorphism and human-AI interaction quality is more robust in the hedonic usage context, but disappears in the utilitarian usage context. This study is expected to provide practical guidance for AI product designers to ensure the long-term feasibility and sustainability of their products.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Cybernetics
Wanmei Liu
Summary: This study examines the relationship between psychological capital, academic engagement, academic persistence, and students' academic performance. The findings suggest that academic engagement and persistence have a positive impact on psychological capital, and psychological capital plays a mediating role between academic engagement, persistence, and performance.
Article
Computer Science, Cybernetics
Fatma Gizem Karaoglan Yilmaz, Ramazan Yilmaz, Mehmet Ceylan
Summary: The purpose of this study is to develop an acceptance scale to evaluate students' acceptance of generative AI applications. Through three stages of research, the scale has demonstrated strong validity and reliability.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Cybernetics
Ahlam Al-Balushi, Ali Tarhini, Fulya Acikgoz, Saqib Ali
Summary: This study investigates the user information security behavior against COVID-19 scams by utilizing Protection Motivation Theory, Cultivation Theory, and other constructs. The results indicate that stress, government social media, general security awareness, response efficacy, and attitude positively influence users' information security behavior. Emotions such as stress and fear, as well as government social media, also impact decision-making during a crisis. The study also found significant effects of threat appraisal factors and coping appraisal factors on coping behaviors, mediated by fear and attitude respectively. However, subjective norms did not vary in influencing information security behavior, and conscientiousness did not moderate the association between attitude and behavior.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Cybernetics
Zehui Bu, Jicai Liu, Xiaoxue Zhang
Summary: By constructing a tripartite evolutionary game model, this paper comprehensively examines the roles of government intervention and public participation in promoting green technology innovation within the private sector, offering fresh perspectives and strategies for the operational phase of PPP projects.
Article
Computer Science, Cybernetics
Peishan Wang, Haibei Feng, Xiaobing Du, Rui Nie, Yudi Lin, Cuixia Ma, Liang Zhang
Summary: This study investigates the use of electroencephalography (EEG) and deep learning in measuring aesthetic experience in real-life scenarios. The results show that the models yield high accuracy in recognizing aesthetic experience, with an average accuracy of over 85% for four dimensions. This objective cross-subject recognition method provides multi-faceted evaluation results and highlights the potential of EEG as a reliable resource for aesthetic experience evaluation.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
