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Inquiry Frameworks for Research Question Scoping in DSR: A Realization for ChatGPT

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Design Science Research for a New Society: Society 5.0 (DESRIST 2023)

Abstract

Research Question (RQ) Scoping refers to defining and refining a research question before conducting research. This step is crucial for ensuring the relevance and focus of the study, particularly in Design Science Research (DSR), where problems and solutions develop gradually. Literature reviews are a traditional method for comprehending the problem and determining key questions; however, they can be time-consuming and not worth it at the onset when lashing out in the dark. NLP chatbots such as ChatGPT can serve as a cost-effective alternative to clearing the way due to their capability to interact with users in a natural language-based manner and provide intuitive responses. The requirements for RQ Scoping extend beyond conversational support to include a framework for a sustained and iterative scoping process. An inquiry framework is necessary to guide and assist students and supervisors in fully harnessing the potential of NLP chatbots. This work incorporates ChatGPT into an inquiry framework for RQ Scoping, with mind maps as the visualization and the 5 Why technique as the inquiry strategy. Contributions include Design Principles, an IT artifact, and a Technology Acceptance Model evaluation (n = 9). Regarding perceived usefulness, the results indicate agreement on the intervention’s effectiveness in maintaining focus. However, there is less enthusiasm for mind maps as a communication tool. Perceived ease of use was also positive but revealed concerns about the query templates used by the framework.

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Notes

  1. 1.

    https://chat.apps.openai.com/.

  2. 2.

    Chatin is a portmanteau of CHAtgpt-powered INquiry. The term is informally used as a friendly nickname in Spanish.

  3. 3.

    https://mindmeister.com.

  4. 4.

    https://openai.com/api/.

  5. 5.

    Figure 3’s any_scoping[previously issued] event accounts for any event in the Scoping state that has already been issued once.

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Acknowledgements

Research supported by MCIN/AEI/10.13039/501100011033/FEDER, UE and the “European Union NextGenerationEU/PRTR” under contract PID2021-125438OB-I00. Xabier Garmendia enjoys a grant from the University of the Basque Country - PIF20/236.

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Díaz, O., Garmendia, X., Contell, J.P., Pereira, J. (2023). Inquiry Frameworks for Research Question Scoping in DSR: A Realization for ChatGPT. In: Gerber, A., Baskerville, R. (eds) Design Science Research for a New Society: Society 5.0. DESRIST 2023. Lecture Notes in Computer Science, vol 13873. Springer, Cham. https://doi.org/10.1007/978-3-031-32808-4_19

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  • DOI: https://doi.org/10.1007/978-3-031-32808-4_19

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