Inferring Capabilities of Intelligent Agents from Their External Traits
Inferring Capabilities of Intelligent Agents from Their External Traits
复制标题
从智能体的外部特征推断其能力
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
M. Willemsen
中科院分区：
文献类型：
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作者：
Bart P. Knijnenburg;M. Willemsen
我们研究了基于人性代理的交互式建议系统界面的可用性。在旅行咨询系统的实验中，我们操纵了代理界面的“人性化”。我们证明，更人性化的代理的用户会尝试利用系统未发出信号的功能。这严重降低了看似人类但缺乏类人能力的系统的可用性（高估效应）。我们通过展示类人代理的用户对系统形成拟人化信念（用户的“心理模型”）来解释这种效应：他们对系统采取类人行为，并尝试利用他们认为系统拥有的典型类人功能。此外，我们证明基于代理的系统的用户形成的心智模型本质上是集成的（与他们形成的传统界面的组合心智模型相反）：系统提供的提示不会以一对一的方式灌输用户响应，而是集成到单个心智模型中。
We investigate the usability of humanlike agent-based interfaces for interactive advice-giving systems. In an experiment with a travel advisory system, we manipulate the “humanlikeness” of the agent interface. We demonstrate that users of the more humanlike agents try to exploit capabilities that were not signaled by the system. This severely reduces the usability of systems that look human but lack humanlikehumanlike capabilities (overestimation effect). We explain this effect by showing that users of humanlike agents form anthropomorphic beliefs (a user's “mental model”) about the system: They act humanlike towards the system and try to exploit typical humanlike capabilities they believe the system possesses. Furthermore, we demonstrate that the mental model users form of an agent-based system is inherently integrated (as opposed to the compositional mental model they form of conventional interfaces): Cues provided by the system do not instill user responses in a one-to-one matter but are instead integrated into a single mental model.