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User-Adaptive Interaction in Social Robots: A Survey Focusing on Non-physical Interaction

机译：社会机器人的用户自适应互动：专注于非身体互动的调查

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摘要

This work presents a survey on the usage of user-adaptive techniques for human interface with Social Robots, with focus on non-physical interaction. The work is based on an analysis of a number of recent scientific works, and aims to uncover existing scientific and technological gaps which can serve as basis for future research and development work. User-adaptive systems consist of autonomous agents that are able to use some manner of information on their user in order to adapt to them. Through their adaptive nature, these systems have been shown to be easier to accept by end-users, and to lead to improvements in a myriad of objective and subjective performance measurements. Thus, in the context of a growing domestic Social Robot industry, it becomes of key importance to study the scientific and technological frontiers of this field. In order to uncover potential lines of future research, we propose a taxonomy for the classification of works, which we use to analyse the works under survey, exposing the current scientific frontiers of the area. Aiming to establish the overall readiness of the field, we also analyse the maturity of the works under survey, exposing the current technological level of the techniques at hand and discussing a number of technological challenges.
机译：这项工作提出了关于使用社会机器人的人类界面的用户自适应技术的使用调查，重点是非物理相互作用。这项工作基于对最近的一些科学作品的分析，旨在揭示现有的科技差距，可以作为未来的研究和开发工作的基础。用户 - 自适应系统由能够在其用户上使用某种信息的自主代理组成，以便适应它们。通过他们的自适应性质，这些系统已被证明更容易接受最终用户，并导致无数的客观和主观性能测量的改进。因此，在日益增长的国内社会机器人行业的背景下，研究该领域的科技边界的重要性重视。为了揭示未来研究的潜在行，我们提出了一项分类，用于分类，我们用于分析调查下的作品，暴露了该地区的当前科学边界。旨在建立该领域的整体准备，我们还分析了调查下的作品的成熟度，揭示了手头技术的当前技术水平，讨论了许多技术挑战。

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