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Chatbots, Humbots, and the Quest for Artificial General Intelligence

Published: 02 May 2019 Publication History

Abstract

What began as a quest for artificial general intelligence branched into several pursuits, including intelligent assistants developed by tech companies and task-oriented chatbots that deliver more information or services in specific domains. Progress quickened with the spread of low-latency networking, then accelerated dramatically a few years ago. In 2016, task-focused chatbots became a centerpiece of machine intelligence, promising interfaces that are more engaging than robotic answering systems and that can accommodate our increasingly phone-based information needs. Hundreds of thousands were built. Creating successful non-trivial chatbots proved more difficult than anticipated. Some developers now design for human-chatbot (humbot) teams, with people handling difficult queries. This paper describes the conversational agent space, difficulties in meeting user expectations, potential new design approaches, uses of human-bot hybrids, and implications for the ultimate goal of creating software with general intelligence.

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cover image ACM Conferences
CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
May 2019
9077 pages
ISBN:9781450359702
DOI:10.1145/3290605
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 ACM 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: 02 May 2019

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Author Tags

  1. artificial general intelligence (agi)
  2. artificial intelligence
  3. chatbot
  4. conversational agent
  5. humbot
  6. intelligent assistant
  7. natural language interfaces
  8. virtual companion

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CHI '19 Paper Acceptance Rate 703 of 2,958 submissions, 24%;
Overall Acceptance Rate 5,713 of 24,194 submissions, 24%

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  • (2024)Chatbots in Airport Customer Service—Exploring Use Cases and Technology AcceptanceFuture Internet10.3390/fi1605017516:5(175)Online publication date: 17-May-2024
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