Department of Computer Science and Engineering, Chittagong University of Engineering & Technology, Chittagong-4349, Bangladesh.

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Abstract—Information technology considers a feedback system as a computer program that collects information from the users and guides the target audiences in order to achieve the required outcomes. The feedback systems can be used as a part of an intervention in organizations to increase awareness and improve performance. But unwillingness of employees to provide feedbacks about their organizations for many reasons such as possibility of losing jobs and facing social harassments, insist them to keep some secrets while giving feedbacks. This is the most significant problem of collecting feedbacks from the employees of the organizations. Collecting feedbacks from the employees without disclosing their identities can be a possible solution of this problem. Considering this fact, in this paper we introduce a method to collect feedbacks in a secure environment. In our approach, we use an agent based parallel computation technique that can collect feedbacks from the users without disclosing their given information. In our system, we consider both comments-based feedbacks and numeric feedbacks. In addition, we have considered two different languages for providing feedbacks. For secure collection of feedbacks, we use Java agent Development Framework (JADE). We perform several experiments on both real data and synthetic data to show the effectiveness of our approach. Experimental results show that our system can be used to collect comment-based feedbacks and numerical feedbacks in two languages efficiently without disclosing the feedbacks of individuals’ to others.

Index Terms—Users’ feedback, agent based system, secured parallel computation, JADE.

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Cite: Rahma Bintey Mufiz Mukta, Mohammad Shamsul Arefin, "An Agent Based Parallel and Secure Framework to Collect Feedbacks," Journal of Computers vol. 14, no. 6, pp. 404-425, 2019.