Masterarbeit
Implementation and Evaluation of a Collaborative Resource Center for Chatbot Research
Completion
2025/11
Research Area
Students
Riyaz Shaik
Advisers
Verena Traubinger M.Sc.
Dr.-Ing. Sebastian Heil
Description
The increased development of chatbot technologies in a variety of industries, such as healthcare, education, and customer service, has led to a similar increase in research conducted on this. This then results in newly available data like datasets, tools, publications, interaction logs, and other materials. However, aside from datasets to train LLMs, these resources are often not published and dispersed across multiple platforms. This lack of centralization makes it challenging for researchers and developers to locate and share useful resources in chatbots.
This thesis aims to tackle these challenges by creating a collaborative platform designed to make it easier to share and reuse chatbot-related resources. To build this platform, a thorough review of both existing research repositories and knowledge bases, as well as requirements from the chatbot research community will be conducted. Depending on the findings of this analysis, the platform might include features such as metadata, version control, licensing information, a tagging system, or citation support. The goal is to make chatbot research materials more accessible, supporting collaboration and faster progress within both academic circles and developer communities.
The objective of this thesis is the creation of a solution or the combination of existing approaches to solve the above described problem of a missing collaborative resource center for chatbot research. This includes the analysis of the state of the art of existing research repositories, platforms for sharing knowledge, existing data in chatbot research, research data management, and other relevant literature. From this analysis, a possible solution should be conceptualized and demonstrated by creating a prototypical implementation of a collaborative resource center, as well as a suitable evaluation based on its usability and its compliance with requirements which were extracted through the literature research.
