Understanding Chatbot-mediated Task Management
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Abstract (arXiv)
Effective task management is essential to successful team collaboration. While the past decade has seen considerable innovation in systems that track and manage group tasks, these innovations have typically been outside of the principal communication channels: email, instant messenger, and group chat. Teams formulate, discuss, refine, assign, and track the progress of their collaborative tasks over electronic communication channels, yet they must leave these channels to update their task-tracking tools, creating a source of friction and inefficiency. To address this problem, we explore how bots might be used to mediate task management for individuals and teams. We deploy a prototype bot to eight different teams of information workers to help them create, assign, and keep track of tasks, all within their main communication channel. We derived seven insights for the design of future bots for coordinating work.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Feb 2018.
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Citing papers per year: 2021: 3; 2022: 3; 2023: 1; 2024: 5.
12 papers.
- 2021Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AIcited by 38
- 2024ComPeer: A Generative Conversational Agent for Proactive Peer Supportcited by 24
- 2022CATs are Fuzzy PETs: A Corpus and Analysis of Potentially Euphemistic Termscited by 14
- 2024Multi-User Chat Assistant (MUCA): a Framework Using LLMs to Facilitate Group Conversationscited by 13
- 2021Software-Based Dialogue Systems: Survey, Taxonomy and Challengescited by 11
- 2021CASS: Towards Building a Social-Support Chatbot for Online Health Communitycited by 8
- 2024Understanding Communication Preferences of Information Workers in Engagement with Text-Based Conversational Agentscited by 6
- 2024On LLM Wizards: Identifying Large Language Models' Behaviors for Wizard of Oz Experimentscited by 4
- 2022Intent Recognition in Conversational Recommender Systemscited by 2
- 2023"With Great Power Comes Great Responsibility!": Student and Instructor Perspectives on the influence of LLMs on Undergraduate Engineering Educationcited by 1
- 2024From User Surveys to Telemetry-Driven AI Agents: Exploring the Potential of Personalized Productivity Solutionscited by 1
- 2022Recent Progress in Conversational AIcited by 0
- 2024Understanding Communication Preferences of Information Workers in Engagement with Text-Based Conversational Agents27 Oct 2024
- 2024ComPeer: A Generative Conversational Agent for Proactive Peer Support25 Jul 2024
- 2024On LLM Wizards: Identifying Large Language Models' Behaviors for Wizard of Oz Experiments10 Jul 2024
- 2024From User Surveys to Telemetry-Driven AI Agents: Exploring the Potential of Personalized Productivity Solutions17 Jan 2024
- 2024Multi-User Chat Assistant (MUCA): a Framework Using LLMs to Facilitate Group Conversations10 Jan 2024
- 2023"With Great Power Comes Great Responsibility!": Student and Instructor Perspectives on the influence of LLMs on Undergraduate Engineering Education19 Sep 2023
- 2022Intent Recognition in Conversational Recommender Systems6 Dec 2022
- 2022CATs are Fuzzy PETs: A Corpus and Analysis of Potentially Euphemistic Terms5 May 2022
- 2022Recent Progress in Conversational AI8 Apr 2022
- 2021Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI11 Nov 2021
- 2021Software-Based Dialogue Systems: Survey, Taxonomy and Challenges21 Jun 2021
- 2021CASS: Towards Building a Social-Support Chatbot for Online Health Community4 Jan 2021