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Development of Data-driven Persona Including User Behavior and Pain Point through Clustering with User Log of B2B Software

Published: 12 June 2024 Publication History

Abstract

Persona --- fictional user profiles --- are used to identify user requirements in software engineering. However, methods targeting revisions, especially for existing B2B services, remain sparse. This paper proposes a method that integrates several models, including k-means clustering, term frequency-inverse document frequency (TF-IDF), and generative AI. Users' behavior tendencies, pain points, and other attributes are output solely from clickstream log data, bypassing the traditional survey-based approaches of previous studies. Clickstreams are vectorized and categorized, whereas users are further analyzed on the basis of time and content of their clickstreams. A case study was conducted with evaluations carried out both quantitatively and qualitatively. The results suggest that, although some parameters still need improvement, fairly rated persona outcomes were attained.

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Cited By

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  • (2024)Generative AI for Self-Adaptive Systems: State of the Art and Research RoadmapACM Transactions on Autonomous and Adaptive Systems10.1145/368680319:3(1-60)Online publication date: 30-Sep-2024

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cover image ACM Conferences
CHASE '24: Proceedings of the 2024 IEEE/ACM 17th International Conference on Cooperative and Human Aspects of Software Engineering
April 2024
210 pages
ISBN:9798400705335
DOI:10.1145/3641822
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 12 June 2024

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Author Tags

  1. persona
  2. data-driven design
  3. pain point
  4. clustering
  5. user experience
  6. user behavior
  7. user analytics
  8. machine learning
  9. data science

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CHASE '24
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Overall Acceptance Rate 47 of 70 submissions, 67%

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Cited By

View all
  • (2024)Generative AI for Self-Adaptive Systems: State of the Art and Research RoadmapACM Transactions on Autonomous and Adaptive Systems10.1145/368680319:3(1-60)Online publication date: 30-Sep-2024

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