Chatbots, Humbots, and the Quest for Artificial General Intelligence

Описание: Chatbots, Humbots, and the Quest for Artificial General Intelligence
Jonathan Grudin, Richard Jacques

CHI '19: ACM CHI Conference on Human Factors in Computing Systems
Session: Conversational Interactions

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.

DOI:: https://doi.org/10.1145/3290605.3300439
WEB:: https://chi2019.acm.org/

Recorded at the ACM CHI Conference on Human Factors in Computing Systems, Glasgow, Scotland, May 4 - 9 2019