Can avatars pass the Turing test? Intelligent agent perception in a 3D virtual environment

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Highlights

  • The first natural language Turing Test was conducted in a 3D virtual environment.

  • Seventy-eight percent of participants incorrectly judged a chatbot to be human.

  • Agency judgments were due to the quality of the AI engine and psychological factors.

  • Passage of the Turing Test involves a complex process of human–computer interaction.

Abstract

The current study involved the first natural language, modified Turing Test in a 3D virtual environment. One hundred participants were given an avatar-guided tour of a virtual clothing store housed in the 3D world of Second Life. In half of the cases, a human research assistant controlled the avatar-guide; in the other half, the avatar-guide was a visually indistinguishable virtual agent or “bot” that employed a chat engine called Discourse, a more robust variant of Artificial Intelligence Markup Language (AIML). Both participants and the human research assistant were blind to variations in the controlling agency of the guide. The results indicated that 78% of participants in the artificial intelligence condition incorrectly judged the bot to be human, significantly exceeding the 50% rate that one would expect by chance alone that is used as the criterion for passage of a modified Turing Test. An analysis of participants׳ decision-making criteria revealed that agency judgments were impacted by both the quality of the AI engine and a number of psychological and contextual factors, including the naivety of participants regarding the possible presence of an intelligent agent, the duration of the trial period, the specificity and structure of the test situation, and the anthropomorphic form and movements of the agent. Thus, passage of the Turing Test is best viewed not as the sole product of advances in artificial intelligence or the operation of psychological and contextual variables, but as a complex process of human–computer interaction.

Section snippets

The Turing Test: definition and significance

In the now classic paper, “Computing Machinery and Intelligence,” Turing (1950) proposed a behavioral approach to determining artificial or machine intelligence. An intelligent agent, or “bot,” is said to have passed the Turing Test when it is mistaken by a judge to be a human intelligence in more than 30% of the cases after five minutes of questioning. Procedurally, in what has become known as the “Standard Turning Test” (Sterrett, 2000), a series of judges engage in chat interactions with two

Participants

One hundred participants were recruited via announcements in the Second Life Events Calendar and in high usage regions of the virtual world, notices sent out by heads of large groups representing major constituencies in Second Life, and word-of-mouth communication. Each method of recruitment offered potential participants the opportunity to go on a guided tour of a clothing store located in Second Life and earn 500 Lindens (virtual currency worth approximately $2 US) for completing a brief

Results and discussion

The current study involved the first natural language, modified Turing Test in a 3D virtual environment. As depicted in Table 1, the results indicate that 78% of participants in the artificial intelligence condition (39 of 50) incorrectly judged a bot to be human, while only 10% of participants in the human condition (5 of 50) mistook the human controlled guide for a machine intelligence, reflecting a highly significant difference in the error rate for the bot and human guide conditions, χ2 (1,

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This paper has been recommended for acceptance by J. LaViola.

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