Designing and Evaluating LLM -based Conversational Agents for Behaviour Change (2023)

Abstract: My PhD focuses on conversational agents for behaviour change, with a focus on the feasibility of applying Large Language Models (LLMs) such as GPT-4 in this context.

## research interests my phd focuses on conversational agents for behaviour change, with a focus on the feasibility of applying large language models (llms) such as gpt-4 in this context. ## spoken dialogue system (sds) research i believe, that chatgpt has caused a paradigm shift in the field of conversational ai research. not only has it led to new opportunities of research, it also put chatbots on the map for the general population. this leads to a wider understanding of conversational ai and sds in the general population. however, this also has the potential of leading to the privatization of conversational ai and sds research, as it becomes harder and harder for researchers to compete with the financial prerequisites and manpower in industry. on the other hand, it could also mean increased collaboration between industry and academic research. ethical design is also a challenge that becomes increasingly important in times of llms. the curation of less biased datasets for training, the mitigation of the environmental impact of llms, and the containment of lowpaid, unethical labour employed by industry creators of such models all call for solutions, which leave a rich gap for ethical research in the context of large models for con-versational ai. ## suggested topics for discussion here, authors will suggest three topics for discussion in the discussion panels during the event. as an example, here are some of the discussion topics discussed in previous workshops: it is recommended to suggest topics, on which the author has knowledge, but also topics that they find interesting and relevant to the young community.