mlsanityData to 7 Oct 2026

A Methodology for Identifying Evaluation Items for Practical Dialogue Systems Based on Business-Dialogue System Alignment Models

arXiv 2602.15835 ↗First posted 10 Jan 2026cs.HC cs.CL cs.SEcited by 0

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Abstract (arXiv)

This paper proposes a methodology for identifying evaluation items for practical dialogue systems. Traditionally, user satisfaction and user experiences have been the primary metrics for evaluating dialogue systems. However, there are various other evaluation items to consider when developing and operating practical dialogue systems, and such evaluation items are expected to lead to new research topics. So far, there has been no methodology for identifying these evaluation items. We propose identifying evaluation items based on business-dialogue system alignment models, which are applications of business-IT alignment models used in the development and operation of practical IT systems. We also present a generic model that facilitates the construction of a business-dialogue system alignment model for each dialogue system.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 60 references that are in the map. First posted on arXiv 10 Jan 2026.

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References · 12

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  3. 2016A Network-based End-to-End Trainable Task-oriented Dialogue Systemcited by 252
  4. 2020Recipes for Safety in Open-domain Chatbotscited by 168
  5. 2020A Survey on Conversational Recommender Systemscited by 142
  6. 2021Advances and Challenges in Conversational Recommender Systems: A Surveycited by 118
  7. 2022The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systemscited by 92
  8. 2017Ethical Challenges in Data-Driven Dialogue Systemscited by 86
  9. 2021On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmarkcited by 73
  10. 2023Are LLMs All You Need for Task-Oriented Dialogue?cited by 52
  11. 2019What Makes a Good Conversation? Challenges in Designing Truly Conversational Agentscited by 42
  12. 2022Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterancescited by 32

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