Towards Understanding of User Perceptions for Smart Border Control Technologies using a Fine-Tuned Transformer Approach

2^nd World Summit on Automotive and Autonomous Systems

June 09, 2022 | Webinar

Sarang Shaikh

Norwegian University of Science and Technology, Norway

Scientific Tracks Abstracts: Adv Robot Autom

Abstract :

Smart Border Control (SBC) technologies became a hot topic in recent years when the European Union (EU) Commission announced the Smart Borders Package to improve the efficiency and security of the border crossing points (BCPs). Although, BCPs technologies have potential benefits in terms of enabling travellers' data processing, they still lead to acceptability and usability challenges when used by travellers. Success of these technologies depends on user acceptance. Sentiment analysis is one of the primary techniques to measure user acceptance. There exists variety of studies in literature where sentiment analysis has been used to understand user acceptance in different domains. To the best of the authors knowledge, there is no study where sentiment analysis has been used for measuring the user acceptance of SBC technologies. Thus, in this study, we propose a fine-tuned transformer model along with an automatic sentiment labels generation technique to perform sentiment analysis as a step towards getting insights into user acceptance of BCPs technologies. The results obtained in this study are promising; given the condition that there is no training data available from BCPs. The proposed approach was validated against IMDB reviews dataset and achieved weighted F1-score of 79% for sentiment analysis task. Keywords: Border control technologies, Sentiment analysis, Technology acceptance, User perceptions, Deep learning, Transformer

Biography :

Mr. Sarang Shaikh is currently associated with the Department of Information Security and Communication Technology at Norwegian University of Science and Technology (NTNU), Norway, as a PhD Candidate. He obtained his master’s degree from Sukkur IBA University, Pakistan, in Computer Science in 2020. His research interests are towards applied research in the field of artificial intelligence, NLP, machine learning, deep learning and learning technologies. He is the author of several papers published in international journals, conferences and has served as a reviewer for IEEE Access. Prior to joining NTNU University, he was employed as a Visiting Lecturer at the Sukkur IBA University, Pakistan.