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Messenger-Based Group Negotiation Service

Student: Levitskaya Nataliya

Supervisor: Sergey Lisitsyn

Faculty: Graduate School of Business

Educational Programme: Big Data Systems (Master)

Year of Graduation: 2018

Current research studies the practical matter of remote communication and cooperation for groups of people using mobile devices. The main aim of the research is to automate arrangements of everyday activities between groups of people, which participants may have different plans, timetables and preferable. This project promotes the theory that the coordination of plans through an anthropoid robot is more effective than matching through a user-customised time planning system. The research hypothesis is that appearance of negotiation tool described could improve the communication process, speed up events organisation and help people with time-management. The object of the study is the modelling and development of algorithms for negotiating agreements between people. The subject of the current project is a messenger-based negotiation service. Other objectives of the project include the study of the theoretical part of the question, a description of the specification for developing the solution, identification and prevention of possible problems, preparation of the development environment and the development itself. An instrument for the accomplishing the task mentioned is the automated service which receives input data about some activity or event and undertakes on itself organising duties, trying to help event`s participants to match their needs. Service`s job mostly consists of primary data acquisition from event initiator, getting in touch with event participants via messenger application, analysing their replies on service`s questions and proposals and returning the feedback collected to the initiator. The research methods used in the current project include both: theoretical methods of analysis, synthesis, comparison, generalisation, modelling, and empirical methods of data collection, monitoring user behaviour, studying and reviewing current decisions and experiments.

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