Designing Personality Shifting Agent for Speech Recognition Failure

Designing Personality Shifting Agent for Speech Recognition Failure
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DOI:
10.1145/3472306.3478347
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发表时间:
2021-09
期刊:
Proceedings of the 21st ACM International Conference on Intelligent Virtual Agents
影响因子:
--
通讯作者:
Tatsuki Hori;Kazuki Kobayashi
Tatsuki Hori;Kazuki Kobayashi
中科院分区:
其他
文献类型:
--
作者:
Tatsuki Hori;Kazuki Kobayashi

文献摘要

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本文提出了一种在语音交互过程中改变智能体个性的方法,以减少语音识别失败时用户对语音识别系统的负面印象。语音识别失败会让用户感到不舒服,而且重新措辞命令时的认知压力很大。所提出的方法旨在消除用户的负面印象代理,允许代理有多个人格,并接受失败的责任,与负责失败的人格被删除的任务。系统硬件保持不变,用户可以继续与代理的另一个个性进行交互。移动代理的个性是由语音语调和LED颜色的变化表示。实验结果表明,该方法通过改善用户与代理之间的沟通,减少了用户的负面印象。
This paper proposes a method to shift an agent's personality during speech interaction to reduce users' negative impressions of speech recognition systems when speech recognition fails. Speech recognition failure makes users uncomfortable, and the cognitive strain in rephrasing commands is high. The proposed method aims to eliminate users' negative impression of agents by allowing an agent to have multiple personalities and accept responsibility for the failure, with the personality responsible for failure being removed from the task. System hardware remains the same, and users can continue to interact with another personality of the agent. Shifting the agent's personality is represented by a change in voice tone and LED color. Experimental results suggested that the proposed method reduces users' negative impressions by improving communication between users and the agent.