A Hybrid Neural Network BERT-Cap Based on Pre-Trained Language Model and Capsule Network for User Intent Classification by Hai Liu, Yuanxia Liu, Leung-Pun Wong, Lap-Kei Lee, Tianyong Hao

“…User intent classification is a vital component of a question-answering system or a task-based dialogue system. …”
Get full text

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. …”
Get full text

Analisis Adopsi Pengguna Kelompok Usia Muda pada Integrasi Layanan Pembayaran Gopay di Aplikasi Tokopedia Menggunakan Model UTAUT2 & TTF by Hanifa Putri Rahima, Buce Trias Hanggara, Widhy Hayuhardhika Nugraha Putra

“…The research findings indicate that task technology fit, hedonic motivation, price value, performance expectancy, and habit significantly influence user intention. …”
Get full text

Leveraging Cognitive Machine Reasoning and NLP for Automated Intent-Based Networking and e2e Service Orchestration by Muhammad Asif, Talha Ahmed Khan, Wang-Cheol Song

“…The system identifies user intents, converts them into actionable network policies, and ensures they align with real-time network states and Quality of Service (QoS) requirements via a feedback loop. …”
Get full text

Campus question-answering system based on intent recognition and retrieval-augmented generation by TANG Bowen, MA Mingxuan, ZHANG Yining, LI Hourun, WEN Feifan, WANG Dabin, YANG Jia, MA Hao

“…The fine-tuned model identified user intents and provided targeted solutions for various types of questions, enhancing the user experience. …”
Get full text

Online Fault Detection Approach of Unpredictable Inputs: Application to Handwriting System by Ines Chihi, Mohamed Benrejeb

“…This leads to inaccurate identification of user intent and threatens the prosthesis control reliability. …”
Get full text

Intelligent Object Manipulation for a Wheelchair-Mounted Robotic Arm by R. A. M. Abayasiri, A. G. B. P. Jayasekara, R. A. R. C. Gopura, Kazuo Kiguchi

“…This paper proposes an intelligent object manipulation algorithm that leverages users’ intentions, past experiences, and preferences. To gather the necessary information for object placement, a human study involving 20 healthy participants was conducted. …”
Get full text

Being there but where? Sense of presence theory for virtual reality applications by Stefano Triberti, Caterina Sapone, Giuseppe Riva

“…We contend that presence is primarily a psychological phenomenon shaped by three critical dimensions that extend beyond mere technological sophistication: (1) the impact of content and narrative structure in virtual environments, (2) the influence of users’ individual characteristics and socio-cultural contexts, and (3) the relationship between presence and users’ intentional structures. Through a synthesis of current evidence, we demonstrate that these psychological and social factors often outweigh technical considerations in determining the quality of presence experiences. …”
Get full text

Exploring the Influencing Factors of Carbon Footprint Tracking Application Usage Intention: A Combined UTAUT and NAM Approach by Shichuan Li, Xiang Liu

“…This study offers insights into how factors from the Unified Theory of Acceptance and Use of Technology and the Norm Activation Model influence user intentions. It also provides practical recommendations for businesses and policymakers to promote the use of carbon footprint tracking applications.…”
Get full text

Post-Pandemic Usage of Collaboration Tools: Influencing Factors by Aulia Rido Salsabila, Nori Wilantika, Ibnu Santoso, Achmad Syahrul Choir

“…The results of this study also support the integration of TAM and ECM to examine user intentions and behavior regarding the continuance use of a technology.…”
Get full text

Features of conducting a forensic commodity examination of furniture products by M. V. Hаrbuz, L. Yu. Ulybіnа

“…In practice, there are cases of fraud on the part of companies and individuals, for example, when users intentionally damage parts or components of a product in order to return a product under warranty and receive monetary compensation for an allegedly defective product. …”
Get full text

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.…”
Get full text

A composite improved attention convolutional network for motor imagery EEG classification by Wenzhe Liao, Zipeng Miao, Shuaibo Liang, Linyan Zhang, Chen Li

“…Motor imagery electroencephalography (MI-EEG) signals are analyzed to infer users’ intentions during motor imagery. These signals hold potential for applications in rehabilitation training and device control. …”
Get full text

Kombinasi Intent Classification dan Named Entity Recognition pada Data Berbahasa Indonesia dengan Metode Dual Intent and Entity Transformer by Zahra Asma Annisa, Rizal Setya Perdana, Putra Pandu Adikara

“…One application of artificial intelligence for service excellence is the use of a chatbot, which requires an appropriate method for the classification of user intent and Named Entity Recognition (NER). One of the drawbacks of performing intent classification and NER separately lies in the different numerical representations used in each model. …”
Get full text