Citation:

AnNing, WangZhuoxian, 2024. Human-Computer Interaction between Blockchain Technology and User Privacy Protection, ESP Journal of Engineering & Technology Advancements  4(2): 11-18.

Abstract:

The rise of blockchain technology has brought significant advancements to various industries. However, it has also raised concerns about user privacy protection. This paper investigates the human-computer interaction between blockchain technology and user privacy protection. The purpose of this study is to analyze the impact of blockchain technology on user privacy and propose effective measures to enhance privacy protection. The research method employed in this study includes a comprehensive literature review and a detailed analysis of existing blockchain systems. The results indicate that while blockchain technology offers transparency and immutability, it also poses challenges to user privacy due to the inherent characteristics of the blockchain. Based on the findings, this study concludes that integrating privacy-enhancing techniques, such as zero-knowledge proofs and encryption, into blockchain systems can effectively address user privacy concerns.

References:

[1] F Voelter,N Urbach,J Padget.Trusting the trust machine: Evaluating trust signals of blockchain applications[D].International Journal of Information Management,2023
[2] KW Su,PC Chiu,TH Lin.Establishing a blockchain online travel agency with a human–computer interaction perspective[D].Journal of Hospitality & Tourism Technology,2022
[3] M Frhlich,F Waltenberger,L Trotter,et al.Blockchain and Cryptocurrency in Human-Computer Interaction: A Systematic Literature Review and Research Agenda[D].,2022
[4] J Gunaratne.Influencing Financial Decision-Making through Human-Computer Interaction Design Interventions[D].,2017
[5] Smith, Alisha J J. Definition and Development of a Measurement Instrument for Compellingness in Human-Computer Interaction[D].,2017
[6] K Wang.Human-Computer Interaction Design of Intelligent Vehicle-Mounted Products Based on the Internet of Things[D].Mobile Information Systems,2021
[7] BD Whitsell.Human-Robot Interaction Utilizing Asymmetric Cooperation and the Brain[D].,2017
[8] Deval Parikh, Sarangkumar Radadia, Raghavendra Kamarthi Eranna, 2024. “Privacy-Preserving Machine Learning Techniques, Challenges and Research Directions”, International Research Journal of Engineering and Technology (IRJET), Volume 11, Issue 3, pp. 499-509. [Link].
[9] SA Amraii.Human-Data Interaction in Large and High-Dimensional Data[D].,2017
[10] A Rapp.Design fictions for learning: A method for supporting students in reflecting on technology in Human-Computer Interaction courses[D].Computers & Education,2019
[11] F Ren, Y Bao.A Review on Human-Computer Interaction and Intelligent Robots[D].International Journal of Information Technology & Decision Making,2019
[12] F Ren, Y Bao.A Review on Human-Computer Interaction and Intelligent Robots[D].,2020
[13] LI Peili,XU Haixia,MA Tianjun,et al.The Application of Blockchain Technology in Network Mutual Aid and User Privacy Protection[D].Netinfo Security,2018
[14] Dodiya, K., Radadia, S. K., & Parikh, D. (2024). "DIFFERENTIAL PRIVACY TECHNIQUES IN MACHINE LEARNING FOR ENHANCED PRIVACY PRESERVATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.b148-b153, February-2024, Available: http://www.jetir.org/papers/JETIR2402116.pdf
[15] Y Lu, Q Tang, G Wang.ZebraLancer: Private and Anonymous Crowdsourcing System atop Open Blockchain[D].,2018
[16] Wander, Jeremiah D. D. Neural correlates of learning and intent during human brain-computer interface use.[D].,2015
[17] J Zhang. Interaction design research based on large data rule mining and blockchain communication technology[D]. Soft Computing, 2020.

Keywords:

Human-Computer Interaction, Blockchain Technology, User Privacy Protection.