图灵模仿博弈中的信任与决策

Q1 Computer Science
Huma Shah, K. Warwick
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引用次数: 3

摘要

信任是为了自信地进行交易而预期的确定性。然而,我们在人机交互中的决策有多准确呢?在本章中,目前的证据来自实验条件,在实验条件下,人类审讯者使用他们的判断,什么是令人满意的回答,相信一个隐藏的对话者是人类,而实际上它是一台机器。在英国布莱切利公园举行的图灵100大会上,一个同时比较的图灵测试呈现了一个人类裁判和两个隐藏实体之间的对话。图灵教育日现场观众的测试后会话分析结果显示,超过30%的观众与图灵测试裁判犯了相同的识别错误。信任被发现在主观确定性中错位,这可能导致在网络空间中容易受到欺骗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trust and Decision Making in Turing's Imitation Game
Trust is an expected certainty in order to transact confidently. However, how accurate is our decision-making in human-machine interaction? In this chapter, the present evidence from experimental conditions in which human interrogators used their judgement of what constitutes a satisfactory response trusting a hidden interlocutor was human when it was actually a machine. A simultaneous comparison Turing test is presented with conversation between a human judge and two hidden entities during Turing100 at Bletchley Park, UK. Results of post-test conversational analysis by the audience at Turing Education Day show more than 30% made the same identification errors as the Turing test judge. Trust is found to be misplaced in subjective certainty that could lead to susceptibility to deception in cyberspace.
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来源期刊
Foundations and Trends in Human-Computer Interaction
Foundations and Trends in Human-Computer Interaction Computer Science-Computer Science Applications
CiteScore
10.10
自引率
0.00%
发文量
2
期刊介绍: Foundations and Trends® in Human-Computer Interaction publishes surveys and tutorials in the following topics: - History of the research community - Design and Evaluation - Theory - Technology - Computer Supported Cooperative Work - Interdisciplinary influence - Advanced topics and trends - Information visualization
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