Intimately intelligent virtual agents: knowing the human beyond sensory input

Deborah Richards
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引用次数: 3

Abstract

Despite being in the era of Big Data, where our devices seem to anticipate and feed our every desire, intelligent virtual agents appear to lack intimate and important knowledge of their user. Current cognitive agent architectures usually include situation awareness that allows agents to sense their environment, including their human partner, and provide congruent empathic behaviours. Depending on the framework, agents may exhibit their own personality, culture, memories, goals and reasoning styles. However, tailored adaptive behaviours based on multi-dimensional and deep understanding of the human essential for enduring beneficial relationships in certain contexts are lacking. In this paper, examples are provided of what an agent may need to know about the human in the application domains of education, health and cybersecurity and the challenges around agent adaptation and acquisition of relevant data and knowledge.
亲密智能虚拟代理:超越感官输入了解人类
尽管身处大数据时代,我们的设备似乎能预测并满足我们的每一个需求,但智能虚拟代理似乎缺乏对用户的亲密和重要的了解。当前的认知智能体架构通常包括情景感知,允许智能体感知其环境,包括其人类伴侣,并提供一致的共情行为。根据框架的不同,代理可能会表现出自己的个性、文化、记忆、目标和推理风格。然而,在某些情况下,缺乏基于多维度和对人类本质的深刻理解的量身定制的适应性行为,以维持有益的关系。本文举例说明了在教育、健康和网络安全等应用领域中,智能体可能需要了解的人类信息,以及智能体适应和获取相关数据和知识的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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