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为语音构建:设计用于音频交互的下一代社交机器人。

Building for speech: designing the next-generation of social robots for audio interaction.

作者信息

Addlesee Angus, Papaioannou Ioannis

机构信息

Department of Mathematics and Computer Science, Heriot-Watt University, Edinburgh, United Kingdom.

Aveni AI, Edinburgh, United Kingdom.

出版信息

Front Robot AI. 2025 Jan 3;11:1356477. doi: 10.3389/frobt.2024.1356477. eCollection 2024.

DOI:10.3389/frobt.2024.1356477
PMID:39831288
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11738917/
Abstract

There have been significant advances in robotics, conversational AI, and spoken dialogue systems (SDSs) over the past few years, but we still do not find social robots in public spaces such as train stations, shopping malls, or hospital waiting rooms. In this paper, we argue that early-stage collaboration between robot designers and SDS researchers is crucial for creating social robots that can legitimately be used in real-world environments. We draw from our experiences running experiments with social robots, and the surrounding literature, to highlight recurring issues. Robots need better speakers, a greater number of high-quality microphones, quieter motors, and quieter fans to enable human-robot spoken interaction in the wild. If a robot was designed to meet these requirements, researchers could create SDSs that are more accessible, and able to handle multi-party conversations in populated environments. Robust robot joints are also needed to limit potential harm to older adults and other more vulnerable groups. We suggest practical steps towards future real-world deployments of conversational AI systems for human-robot interaction.

摘要

在过去几年里,机器人技术、对话式人工智能和口语对话系统(SDS)取得了重大进展,但我们在火车站、购物中心或医院候诊室等公共场所仍未见到社交机器人。在本文中,我们认为机器人设计师和SDS研究人员的早期合作对于创造能够在现实环境中合法使用的社交机器人至关重要。我们借鉴了运行社交机器人实验的经验以及相关文献,以突出反复出现的问题。机器人需要更好的扬声器、更多高质量的麦克风、更安静的电机和更安静的风扇,以便在自然环境中实现人机口语交互。如果设计的机器人能满足这些要求,研究人员就能创建出更便于使用、并能够在人口密集环境中处理多方对话的SDS。还需要坚固的机器人关节,以限制对老年人和其他更弱势群体的潜在伤害。我们为未来用于人机交互的对话式人工智能系统的实际应用提出了切实可行的步骤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdfd/11738917/8185cab406dd/frobt-11-1356477-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdfd/11738917/df4841386c58/frobt-11-1356477-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdfd/11738917/8185cab406dd/frobt-11-1356477-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdfd/11738917/df4841386c58/frobt-11-1356477-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdfd/11738917/8185cab406dd/frobt-11-1356477-g002.jpg

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本文引用的文献

1
Optimal audio beam pattern synthesis for an enhanced parametric array loudspeaker.用于增强型参量阵扬声器的最优声束模式合成
J Acoust Soc Am. 2023 Nov 1;154(5):3210-3222. doi: 10.1121/10.0022415.
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Understanding and Resolving Failures in Human-Robot Interaction: Literature Review and Model Development.理解与解决人机交互中的故障:文献综述与模型开发
Front Psychol. 2018 Jun 15;9:861. doi: 10.3389/fpsyg.2018.00861. eCollection 2018.
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Collective Contexts in Conversation: Grounding by Proxy.对话中的集体语境:通过代理实现的基础构建。
Cogn Sci. 2016 Mar;40(2):299-324. doi: 10.1111/cogs.12225. Epub 2015 May 12.