Understanding Questions that Arise When Working with Business Documents
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Abstract (arXiv)
While digital assistants are increasingly used to help with various productivity tasks, less attention has been paid to employing them in the domain of business documents. To build an agent that can handle users' information needs in this domain, we must first understand the types of assistance that users desire when working on their documents. In this work, we present results from two user studies that characterize the information needs and queries of authors, reviewers, and readers of business documents. In the first study, we used experience sampling to collect users' questions in-situ as they were working with their documents, and in the second, we built a human-in-the-loop document Q&A system which rendered assistance with a variety of users' questions. Our results have implications for the design of document assistants that complement AI with human intelligence including whether particular skillsets or roles within the document are needed from human respondents, as well as the challenges around such systems.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Mar 2022.
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Citing papers per year: 2023: 2; 2024: 1; 2025: 2; 2026: 1.
6 papers.
- 2023A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documentscited by 16
- 2025Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing Processcited by 14
- 2023Collaboration with Conversational AI Assistants for UX Evaluation: Questions and How to Ask them (Voice vs. Text)cited by 6
- 2024AI-Enhanced Sensemaking: Exploring the Design of a Generative AI-Based Assistant to Support Genetic Professionalscited by 3
- 2025CHOIR: A Chatbot-mediated Organizational Memory Leveraging Communication in University Research Labscited by 1
- 2026Interview-Informed Generative Agents for Product Discovery: A Validation Studycited by 1
- 2026Interview-Informed Generative Agents for Product Discovery: A Validation Study10 Mar 2026
- 2025CHOIR: A Chatbot-mediated Organizational Memory Leveraging Communication in University Research Labs24 Sep 2025
- 2025Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing Process16 Apr 2025
- 2024AI-Enhanced Sensemaking: Exploring the Design of a Generative AI-Based Assistant to Support Genetic Professionals19 Dec 2024
- 2023A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents24 May 2023
- 2023Collaboration with Conversational AI Assistants for UX Evaluation: Questions and How to Ask them (Voice vs. Text)7 Mar 2023