Value-based adoption of MDS:an empirical investigation by ZHOU Yi1, MENG Wei-dong1, DU Hui-ying2, WU Ping-yao2

“…The influence factors of customers’ behavioral intention,and constructs the regression model for the influence factors of customers behavioral intention of mobile data services（VAMDS） was analyzed.China mobile users of ease-own,GoTone and M-zone are chosen as our random surveys in Beijing,Nanjing and Chongqing.That the top three most important factors of customers behavioral intention of MDS are price,usefulness and social influence,and the security for customers’ behavioral intention validated by overseas scholars isn’t supported in the main MDS in China now.…”
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Exploration of Digital Twin Design Mechanism of the Deep in Situ Rock Insulation Coring Device by Bo Yu, Heping Xie, Ling Chen, Wu Zhao, Zhiqiang He

“…There are many problems in the design process, such as multimodules, multidisciplinary, crossdomain, and high coupling, which makes it more difficult for users to participate in product design and understand the product design intention. …”
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Disturbance-Observer-Based Fuzzy Control for a Robot Manipulator Using an EMG-Driven Neuromusculoskeletal Model by Longbin Zhang, Wen Qi, Yingbai Hu, Yue Chen

“…This paper developed a disturbance-observer-based fuzzy control framework for a robot manipulator using an electromyography- (EMG-) driven neuromusculoskeletal (NMS) model. The motion intention (desired torque) was estimated by the EMG-driven NMS model with EMG signals and joint angles from the user. …”
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Development of an eHealth Intervention Including Self-Management for Reducing Sedentary Time in the Transition to Retirement: Participatory Design Study by Lisa Hultman, Caroline Eklund, Petra von Heideken Wågert, Anne Söderlund, Maria Lindén, Magnus L Elfström

“…MethodsThe study used the participatory design approach to include end users, researchers, and a web designer as equal partners. …”
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Application of GUHA data mining method in cohort data to explore paths associated with premature death: a 29-year follow-up study by Lily Nosraty, Esko Turunen, Saila Kyrönlahti, Clas-Håkan Nygård, Prakash KC, Subas Neupane

“…GUHA involves an active dialogue between the user and the LISp-Miner software, with parameters tailored to the data and user interests. …”
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Master your practice! A quantitative analysis of Device and system handling training to enable competent interactions with intelligent voice assistants by Maximilian Baumann, André Markus, Jan Pfister, Astrid Carolus, Andreas Hotho, Carolin Wienrich

“…Intelligent voice assistants (IVAs), such as Siri or Alexa, are voice-based artificial intelligence (AI) systems that help users solve everyday tasks using voice commands. …”
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Using AI chatbots (e.g., CHATGPT) in seeking health-related information online: The case of a common ailment by Pouyan Esmaeilzadeh, Mahed Maddah, Tala Mirzaei

“…Moreover, satisfaction directly influences users' continued intention to use and their willingness to adopt generated results and medical advice. …”
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Virtual Goods Recommendations in Virtual Worlds by Kuan-Yu Chen, Hsiu-Yu Liao, Jyun-Hung Chen, Duen-Ren Liu

“…The contact strength and contact influence result from interactions with social neighbors and influence users’ buying intention. Our research highlights the importance of social interactions in virtual goods recommendation. …”
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Review of upper extremity passive joint impedance identification in people with Duchenne Muscular Dystrophy by Suzanne J. Filius, Kyriacos Papa, Jaap Harlaar

“…Force-based controlled motorised arm supports require a clear distinction between the user’s movement intention and passive forces, such as passive Jimp. …”
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Analysis of Factors Affecting Use Behavior towards Mobile Payment Apps: A SEM Approach by Ashish A. Linge, Tushar Chaudhari, Baldeo B. Kakde, Mahesh Singh

“…The main aim of this research study is to examine the impact of five independent variables viz. performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation on behavioral intention to use mobile payment apps. This study is further aimed at investigating the influence of behavioral intention on the use behavior of mobile payment app users. …”
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Social Acceptance of Smart Glasses in Health Care: Model Evaluation Study of Anticipated Adoption and Social Interaction by Niek Zuidhof, Oscar Peters, Peter-Paul Verbeek, Somaya Ben Allouch

“…The tested hypotheses confirmed that social interaction constructs could explain a higher variance of users’ anticipated intention to use. Perceived social isolation and decreased attentional allocation did not have a significant effect on attitude. …”
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What Must be Considered when to Perform Consumption Analytics with Facebook Posts? by Nelson Siqueira Rangel Netto, Teresa Cristina Janes Carneiro, Marcos Paulo Valadares de Oliveira, Rogério Antônio Monteiro

“…The variable for the consumption intention had a value for R² of 47%, which indicates that the model significantly contributes to the explanation of the influence of the tested factors in the consumption intention of Facebook users. …”
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Uncovering online travel agency antecedents and their consequences in terms of consumer behavior: A retrospective analysis for future research by Seema Singh, Prince Prince, Neha Aggarwal, Devika Dabas

“…An analysis of the 77 most pertinent articles has given a more thorough understanding of this revealing the most common influencing factors/variables (information, price, features, quality, customization & filters, user friendliness, etc.) used to measure the CB towards OTAs. …”
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A Motor Learning Oriented, Compliant and Mobile Gait Orthosis by A. Calanca, S. Piazza, P. Fiorini

“…With ARGO we aim to develop a device for helping limbs in a non-coercive way accordingly to user’s intention. In this way patients can drive the orthosis by themselves, deploying augmented biofeedback over movements. …”
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Hybrid learning in post-pandemic higher education systems: an analysis using SEM and DNN by Alvin Muhammad ‘Ainul Yaqin, Ahmad Kamil Muqoffi, Sigit Rahmat Rizalmi, Faishal Arham Pratikno, Remba Yanuar Efranto

“…Data were collected through questionnaires evaluating key factors, including social influence, perceived interactivity, perceived usefulness, ease of use, facility conditions, attitude, satisfaction, and user intention. SEM validated the conceptual model, confirming all eight hypotheses as statistically significant (p-value of ≤ 0.05) and achieving good model fit with a comparative fit index (CFI) of 0.901 and a root mean square error of approximation (RMSEA) of 0.069. …”
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Applicability of the decomposed theory of planned behavior for the evaluation of community-dwelling older adults’ acceptance in continuous usage of robot-assisted board games for c... by Chiu-Mieh Huang, Su-Fei Huang, Yu-Ting Chen, Ching-Hao Chang, Hsiu-Chun Chien, Ying-Jie Chang, Kuei-Yu Huang, Jong-Long Guo

“…Attitudes and perceived behavioral control affected users’ intentions to use the RABG. Conclusions Our findings support the applicability of the DTPB in evaluating RABGs for cognitive training in older adults, suggesting its potential integration in future interventions.…”
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Analisis Penerimaan Sistem Informasi Manajemen BPJS Kesehatan Layanan Primary Care di UPTD Puskesmas Kabupaten Banyumas by Yusmedi Nurfaizal, Rizki Wahyudi

“…The results of data analysis can be concluded that the ten hypotheses and research are acceptable, so that complexity, volunteerism, perceived use, perceived ease of use, usage attitudes, and behavioral intentions to use an information system are factors that influence users to continue using the system. …”
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Blockchain-assisted improved interval type-2 fuzzy deep learning-based attack detection on internet of things driven consumer electronics by Rana Alabdan, Bayan Alabduallah, Nuha Alruwais, Munya A. Arasi, Somia A. Asklany, Omar Alghushairy, Fouad Shoie Alallah, Abdulrhman Alshareef

“…Interconnected devices are now familiar with user characteristics, giving custom skills that improve the user's satisfaction. …”
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Enjoy it! Cosmetic try-on apps and augmented reality, the impact of enjoyment, informativeness and ease of use by V. Micheletto, S. Accardi, A. Fici, A. Fici, F. Piccoli, C. Rossi, M. Bilucaglia, V. Russo, V. Russo, M. Zito, M. Zito

“…These results provide valuable insights for the cosmetics industry, offering guidance to refine user experiences and enhance consumer engagement and satisfaction.…”
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Digitally assessing social–emotional skills in early school years: initial validation of a screening instrument by Andrea Kogler, Andrea Kogler, Barbara Gasteiger-Klicpera, Barbara Gasteiger-Klicpera, Katharina Prinz, Lisa Paleczek, Lisa Paleczek

“…In the GraSEF, students work through an online survey tool, using audio instructions to guide them through the test.MethodsThe present study analyses the responses of second graders (Mage = 8.23 years, SDage = 0.48, 48% female). The intention was to gain initial insight into the instrument’s psychometric quality and user-friendliness.ResultsIn general, the instrument was found to have acceptable to good internal consistency, sufficient discriminatory power and item difficulty. …”
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