mlsanityData to 7 Oct 2026

Did Chatbots Miss Their 'Apollo Moment'? A Survey of the Potential, Gaps and Lessons from Using Collaboration Assistants During COVID-19

arXiv 2103.05561 ↗First posted 27 Feb 2021cs.HC cs.AIcited by 0

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Abstract (arXiv)

Artificial Intelligence (AI) technologies have long been positioned as a tool to provide crucial data-driven decision support to people. In this survey paper, we look at how AI in general, and collaboration assistants (CAs or chatbots for short) in particular, have been used during a true global exigency - the COVID-19 pandemic. The key observation is that chatbots missed their "Apollo moment" when they could have really provided contextual, personalized, reliable decision support at scale that the state-of-the-art makes possible. We review the existing capabilities that are feasible and methods, identify the potential that chatbots could have met, the use-cases they were deployed on, the challenges they faced and gaps that persisted, and draw lessons that, if implemented, would make them more relevant in future health emergencies.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 9 of its 67 references that are in the map. First posted on arXiv 27 Feb 2021.

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References · 9

  1. 2020Recipes for Safety in Open-domain Chatbotscited by 168
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  4. 2020Overview of the Ninth Dialog System Technology Challenge: DSTC9cited by 49
  5. 2019Planning for Goal-Oriented Dialogue Systemscited by 15
  6. 2020Mapping the Landscape of Artificial Intelligence Applications against COVID-19cited by 14
  7. 2019Generating Dialogue Agents via Automated Planningcited by 4
  8. 2019An Automated Testing Framework for Conversational Agentscited by 3
  9. 2018Decision-support for the Masses by Enabling Conversations with Open Datacited by 1

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