The DOI matches its Crossref record; 24 of the 25 references it cites were found in a registry or an index.
Chatbots, Humbots, and the Quest for Artificial General Intelligence
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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“human-chatbot teams which handle challenging service queries better than chatbots alone and more efficiently than humans alone.”
From Future directions for chatbot research: An interdisciplinary research agenda (2021) · cites this paper as [45]
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“Google's Duplex, an AI system capable of making phone calls and scheduling appointments on behalf of users, faced criticism for not always disclosing its AI identity during interactions [135], [136], highlighting the importance of transparency and ethical considerations in AI development.”
From Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond (2024) · cites this paper as [135]
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Metadata
- Authors
- Grudin, J., & Jacques, R.
- Affiliations
- Microsoft (United States) (US)
- ORCID
- Grudin, Jonathan
- Venue
- Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2019-05-02
- Pages
- 1-11
- OpenAlex
- W2940884072
- Cited by
- 275
- References
- 25
- Citations by year
- 2026: 13 · 2025: 40 · 2024: 51 · 2023: 53 · 2022: 41 · 2021: 43 · 2020: 28 · 2019: 6
- FWCI
- 11.29
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- chatbots, artificial general intelligence, task-oriented chatbots, intelligent assistants, chatbot design, user expectations, low-latency communication
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