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Digital Transformation Chatbot (DTchatbot): Integrating Large Language Model-based Chatbot in Acquiring Digital Transformation Needs

Many organisations pursue digital transformation to enhance operational efficiency, reduce manual efforts, and optimise processes by automation and digital tools. To achieve this, a comprehensive understanding of their unique needs is required. However, traditional methods, such as expert interviews, while effective, face several challenges, including scheduling conflicts, resource constraints, inconsistency, etc. To tackle these issues, we investigate the use of a Large Language Model (LLM)-powered chatbot to acquire organisations' digital transformation needs. Specifically, the chatbot integrates workflow-based instruction with LLM's planning and reasoning capabilities, enabling it to function as a virtual expert and conduct interviews. We detail the chatbot's features and its implementation. Our preliminary evaluation indicates that the chatbot performs as designed, effectively following predefined workflows and supporting user interactions with areas for improvement. We conclude by discussing the implications of employing chatbots to elicit user information, emphasizing their potential and limitations.<p></p>

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    ISBN - Is published in urn:isbn:978-3-032-13167-6

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© 2025 The author(s). For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission

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  • No

Submission date

2025-06-16

Notes

This is the author accepted manuscript.

Publisher

Springer

Series

Lecture Notes in Computer Science (LNCS)

Name of conference

HCII 2025: 27th International Conference on Human-Computer Interaction

Location

Gothenburg, Sweden

Start date

2025-06-22

End date

2025-06-27

Version

  • Accepted Manuscript

Language

en

Department

  • Management

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