Article
Computer Science, Cybernetics
James R. Lewis, Jeff Sauro
Summary: This study replicated and expanded previous research on the effects of perceived ease of use and perceived usefulness on overall experience, likelihood to recommend, intention to use, and reported usage. The findings showed that both perceived ease and perceived usefulness are important antecedents for user experience and intention to use. The study also identified an effective questionnaire for measuring perceived ease and usefulness.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Education & Educational Research
Aitao Lu, Ruchen Deng, Yingshi Huang, Tianhua Song, Yunhong Shen, Zhiling Fan, Jijia Zhang
Summary: With the popularity of mobile devices, more and more people are using mobile applications to learn a second language. This study investigated language learners' perceptions of the usefulness and ease of use of mobile learning apps and their relationship with language learning flow and satisfaction. The results showed that there were three groups of learners with different levels of perception, and in the ESL sample, positive perceptions had a linear relationship with learning flow and satisfaction.
EDUCATION AND INFORMATION TECHNOLOGIES
(2022)
Article
Psychology, Clinical
Anne M. Fairlie, Melissa A. Lewis, Katja A. Waldron, Elliot C. Wallace, Christine M. Lee
Summary: This study explored the relationship between norms, perceived usefulness, and personal use of protective behavioral strategies (PBS) among college student drinkers. Descriptive norms for close friends' reasons to use PBS were found to be positively associated with perceived usefulness and personal use of PBS, while injunctive norms did not show significant results. The association between descriptive norms and personal PBS use was mediated by perceived usefulness across different PBS subscales.
ADDICTIVE BEHAVIORS
(2021)
Article
Education & Educational Research
Marta Liesa-Orus, Cecilia Latorre-Cosculluela, Veronica Sierra-Sanchez, Sandra Vazquez-Toledo
Summary: This study analyzes the relationship between the perception of older people regarding the use of technological resources, the perceived usefulness of these tools, attitudes towards technology, and their intention to use them in everyday life. The results show that the perceived ease of use of technology has a positive effect on the perceived usefulness of these resources, and the perceived usefulness of technology indirectly affects the intention to use these resources through positive attitudes towards the use of digital tools.
EDUCATION AND INFORMATION TECHNOLOGIES
(2023)
Article
Green & Sustainable Science & Technology
Hemamali Tennakoon, Jared M. Hansen, George Saridakis, Mahesha Samaratunga, Joseph W. Hansen
Summary: Online and distance learning classes are considered an innovation in higher education to improve entrepreneurial growth mindset of students. However, the negative online learning experience reported by many college students during the COVID-19 epidemic indicates the need for improvement in sustainable development and growth of online visual instruction practices.
Article
Education & Educational Research
H. P. Dunn, C. J. Kang, S. Marks, J. L. Witherow, S. M. Dunn, P. R. Healey, A. J. White
Summary: Through a survey of medical students' usage experiences, it was found that smartphone fundoscopy is more useful and easier to use compared to traditional fundoscopy technologies. Therefore, educators should increase student access to novel fundoscopy technologies to reinvigorate interest in fundus examination.
BMC MEDICAL EDUCATION
(2021)
Article
Green & Sustainable Science & Technology
Daniel Y. Y. Park, Hyungsook Kim
Summary: This study investigates the factors influencing people's intentions to use digital mental healthcare content for depression management. The findings suggest that participants' depression levels, perceived usefulness, and parasocial interactions significantly influence their intentions to use the content. Female gender, younger age, and specific motives for depression-related digital technology use also emerged as significant factors influencing parasocial interactions. Parasocial interactions and perceived ease of use were found to significantly influence perceived usefulness. The study highlights the potential utility of AI chatbots in helping individuals, particularly females and younger people, with depression and interpersonal difficulties benefit from digital mental healthcare content.
Article
Multidisciplinary Sciences
Taslima Akther, Tasnima Nur
Summary: This study investigates the factors influencing the acceptance of COVID-19 vaccines and develops a model based on the theory of reasoned action, belief in conspiracy theory, awareness, perceived usefulness, and perceived ease of use. The results show that belief in conspiracy theory undermines vaccine acceptance, while individual awareness has a positive influence. Additionally, the perceived usefulness and ease of obtaining the vaccine positively impact attitude and acceptance. Positive attitudes and constructive subjective norms also contribute to vaccine acceptance. This study contributes to the understanding of vaccine acceptance behavior by combining several theories. Authorities should focus on reducing misinformation and conspiracy theories and emphasize the usefulness of vaccination to prevent pandemics and continue education.
Article
Computer Science, Cybernetics
Fulya Acikgoz, Raffaele Filieri, Min Yan
Summary: This study investigates the psychological drivers of users' intention on fitness apps among European users. The findings suggest that subjective knowledge and personal innovativeness predict perceived usefulness, health consciousness, and ease of use. The strongest predictor of intention to use an app is perceived usefulness.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Multidisciplinary Sciences
Hyeon Jo, Do-Hyung Park
Summary: This study analyzes data from VR users to identify the predictors of their perceived usefulness, enjoyment, attitude, and continuance intention. The results reveal the significant influence of functional, cognitive, and physical affordance on perceived usefulness and enjoyment. Additionally, perceived usefulness, enjoyment, and attitude directly impact the intention to continue using VR.
SCIENTIFIC REPORTS
(2023)
Article
Business
Owen Parker, Ke Gong, Rachel Mui, Varkey Titus, Jiancheng Du, Gyebi Kwarteng
Summary: Reputation research often uses rankings combining prominence and perceived quality, but neglects nuances in the formation of firm quality perceptions. By manipulating product ratings in experiments and using performance trajectories in archival studies, findings show that the order and intervals of performance events can change perceived quality impressions, influencing stakeholder perceptions beyond absolute performance levels.
JOURNAL OF BUSINESS RESEARCH
(2021)
Article
Computer Science, Cybernetics
Wonseok Jang, Youjin Chang, Boomin Kim, Young Ji Lee, Seung-Chan Kim
Summary: By integrating the CLT and XAI framework, this study identified PI as a key user trait and different sequences of data presentation as key interfaces of an XAI system that determine users' evaluation and acceptance of recommendations. Study 1 found that the degree of psychological distance between users and AI technology explains the positive effects of PI on users' evaluation of AI recommendation systems. Study 2 further demonstrated that users' evaluations of XAI systems are influenced by their PI level and how the XAI interface presents information. The results of this study have important theoretical and practical implications for human-AI interactions.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Psychology, Multidisciplinary
Qing Xie, Anuar Shah Bali Mahomed, Rosmah Mohamed, Anusuiya Subramaniam
Summary: This study investigates the relationship between the usefulness and ease of use of live streaming and purchase intentions, as well as the mediating roles of affective trust and cognitive trust. The findings confirm the positive predictive power of ease of use and usefulness towards purchase intentions in China. This research is valuable for decision-makers and marketers to improve sales and revenue.
CURRENT PSYCHOLOGY
(2022)
Article
Engineering, Industrial
Haishuo Wang, Ke Chen, Hongmei Zheng, Guojun Zhang, Rui Wu, Xiaopeng Yu
Summary: This paper proposes an optimized method for the expression of product design information and a knowledge transfer model, aiming to promote information sharing and production means sharing through the establishment of a new ecosystem, and to reduce the complexity and losses in the process of information transfer.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Sonali Singh, Nidhi Singh, Zoran Kalinic, Francisco J. Liebana-Cabanillas
Summary: A study in India examined factors influencing users' continued intention to use live streaming services, finding that convenience value and perceived enjoyment had the highest impact. The study also discussed the growing addictive behavior associated with the use of streaming services.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Business
Kamran Khan, Irfan Hameed, Syed Karamatullah Hussainy
Summary: The study aims to investigate the impact of brand citizenship behavior on market standing, focusing on both internal organizational factors and external marketing aspects. The results show that internal brand management plays a key role in brand commitment, and BCB has the strongest influence on student satisfaction.
JOURNAL OF MARKETING FOR HIGHER EDUCATION
(2023)
Article
Agricultural Economics & Policy
Kamran Khan, Irfan Hameed, Umair Akram, Syed Karamatullah Hussainy
Summary: This study investigates the impact of motivational factors and normative triggers on consumers' intentions to purchase organic food, using the goal-framing theory (GFT). The findings show that all motivational factors significantly influence consumers' intentions, and normative triggers also have an impact. Additionally, knowledge is found to moderate the relationship between gain motivations and intentions.
BRITISH FOOD JOURNAL
(2023)
Article
Management
Idrees Waris, Irfan Hameed, Rashid Ali
Summary: This study aims to understand the willingness of households to adopt small-scale solar energy for reducing carbon dioxide emissions. The findings suggest that publicity information, green norms, and perceived behavioral control are the strongest predictors of households' intention to use small-scale solar energy. The practical implications of this study include promoting the adoption of solar technologies for energy conservation and environmental sustainability, particularly in developing countries like Pakistan.
INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT
(2023)
Article
Computer Science, Artificial Intelligence
Megha Chhabra, Kiran Kumar Ravulakollu, Manoj Kumar, Abhay Sharma, Anand Nayyar
Summary: Latent fingerprint segmentation is a complex process of accurately separating fingerprints from poor quality latent fingerprint images. By using a non-learning technique to detect potentially relevant areas and a deep learning approach to separate imposter regions from fingerprint regions, better segmentation results can be achieved.
NEURAL COMPUTING & APPLICATIONS
(2023)
Correction
Computer Science, Interdisciplinary Applications
El Arbi Abdellaoui Alaoui, Stephane Cedric Koumetio Tekouabou, Yassine Maleh, Anand Nayyar
SIMULATION MODELLING PRACTICE AND THEORY
(2023)
Article
Computer Science, Information Systems
K. Paramesha, H. L. Gururaj, Anand Nayyar, K. C. Ravishankar
Summary: Sentiment Analysis (SA) using machine learning approaches is a fascinating field of research that focuses on understanding the opinions expressed by online users. This paper evaluates and analyzes traditional machine learning approaches and deep learning techniques for multi-class polarity classification on cross-domain review dataset. The results show that ensemble models in traditional machine learning methods perform better, while deep learning models outperform traditional approaches based on feature extraction and engineering, achieving higher accuracy and F1 scores.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Bhavini Priyamvada, Shruti Singhal, Anand Nayyar, Rachna Jain, Priya Goel, Mehar Rani, Muskan Srivastava
Summary: The growing use of social media forums for expressing suicidal thoughts requires the automatic recognition of such posts. This study focuses on identifying suicide warnings in Twitter posts using natural language processing techniques. Through deep learning and machine learning classifiers, the study achieves a high classification accuracy of 93.92% for detecting suicidal ideation.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Hardware & Architecture
Md. Akkas Ali, Rajesh Kumar Dhanaraj, Anand Nayyar
Summary: The agricultural industry has great potential to meet the increasing demand for nutritious and healthy food worldwide. However, pests pose a significant threat to crops, making it difficult for farmers to detect them. This research focuses on developing an AI-enabled real-time automatic pest detection system using IoT technology and sound analytics. The proposed method utilizes various techniques, such as sound preprocessing and machine learning models, to accurately identify pests in agricultural fields. Experimental results show that the proposed CNN-Bi-LSTM model outperforms existing techniques in terms of accuracy and other performance metrics.
MICROPROCESSORS AND MICROSYSTEMS
(2023)
Article
Engineering, Industrial
Wenjie Li, Idrees Waris, Muhammad Yaseen Bhutto
Summary: This study explores the impact of BDAC on supply chain performances of manufacturing firms, highlighting the significance of GDC, SCA, and GCA. The results show that BDAC positively influences GDC and SCA, leading to enhanced GCA, which in turn positively impacts FP, with the relationship being moderated by SCI.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2023)
Article
Energy & Fuels
Dinesh Mevada, Hitesh Panchal, Anand Nayyar, Kamal Sharma, A. Muthu Manokar, Mahmoud S. El-Sebaey, Abdelazim G. Hussien
Summary: In this study, the performance of a solar still was improved by incorporating a novel design of a zig-zag-shaped air-cooled condenser and cuprous oxide as a nanomaterial. The experiments conducted in Gandhinagar, Gujarat, India, showed that the solar still equipped with the zig-zag-shaped air-cooled condenser with cuprous oxide had a higher distillate production and energy efficiency compared to a conventional solar still. Additionally, the use of cuprous oxide increased the evaporative heat transfer coefficient of water, resulting in improved efficiency in terms of exergy and latent heat of vaporization.
Article
Computer Science, Cybernetics
Mudasir Ahmad Wani, Mohammad ELAffendi, Kashish Ara Shakil, Ibrahem Mohammed Abuhaimed, Anand Nayyar, Amir Hussain, Ahmed A. Abd El-Latif
Summary: The emergence of COVID-19 has led to an increase in fake news on social media, which has negative effects on individuals, society, and governments. This study aims to address the lack of prior research in detecting toxic fake news by collecting datasets from different online platforms and using machine-learning techniques to design a toxic-fake news detection system. The proposed approach outperformed other techniques in terms of accuracy and performance metrics.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Computer Science, Information Systems
Sandip K. Chaurasiya, Santu Mondal, Arindam Biswas, Anand Nayyar, Mohd Asif Shah, Rajib Banerjee
Summary: In this paper, a hybrid clustering scheme called An Energy-Efficient Hybrid Clustering Technique (EEHCT) is proposed for IoT-based HWSN. The scheme minimizes energy consumption in cluster formation and evenly distributes the network load to prolong network lifetime, regardless of heterogeneity level. Simulations and experiments show that EEHCT outperforms state-of-the-art schemes in terms of stability, throughput, and network lifetime.
Article
Computer Science, Artificial Intelligence
E. Gangadevi, R. Shoba Rani, Rajesh Kumar Dhanaraj, Anand Nayyar
Summary: Crop diseases pose a threat to food security, and timely detection is challenging due to infrastructure limitations. This study focuses on accurately and timely identifying tomato plant diseases. A hybrid fruit fly optimization algorithm and support vector machine are used to reduce optimization problems, presenting a multi-objective identification method.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Engineering, Biomedical
L. Godlin Atlas, K. P. Arjun, K. Sampath Kumar, Rajesh Kumar Dhanaraj, Anand Nayyar
Summary: The range of diseases such as diabetes, hypertension, and vascular occlusions is increasing rapidly in modern society, leading to organ damage. Among them, eye diseases have severe impacts on vision, and early detection and treatment are necessary. Existing strategies have some setbacks, so a deep learning framework has been developed in this study to improve the prediction of retinal hemorrhage.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Computer Science, Artificial Intelligence
K. Jyothsna Devi, Priyanka Singh, Muhammad Bilal, Anand Nayyar
Summary: This paper proposes a secure digital image watermarking scheme in the hybrid DWT-SVD domain, which addresses the security concerns in UAV image transmission using an adaptive scaling factor and symmetric cryptographic-based encryption method. Experimental results show that the scheme achieves high security and low computational cost.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
