We present the first systematic analysis of personality dimensions developed specifically to describe the personality of speech-based conversational agents. Following the psycholexical approach from psychology, we first report on a new multi-method approach to collect potentially descriptive adjectives from 1) a free description task in an online survey (228 unique descriptors), 2) an interaction task in the lab (176 unique descriptors), and 3) a text analysis of 30,000 online reviews of conversational agents (Alexa, Google Assistant, Cortana) (383 unique descriptors). We aggregate the results into a set of 349 adjectives, which are then rated by 744 people in an online survey. A factor analysis reveals that the commonly used Big Five model for human personality does not adequately describe agent personality. As an initial step to developing a personality model, we propose alternative dimensions and discuss implications for the design of agent personalities, personality-aware personalisation, and future research.

中文翻译：

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使用心理词汇方法为基于语音的会话代理开发个性模型

我们首次对个性维度进行系统分析，专门用于描述基于语音的对话代理的个性。遵循心理学的心理词汇方法，我们首先报告了一种新的多方法方法来收集潜在的描述性形容词：1）在线调查中的免费描述任务（228 个独特的描述符），2）实验室中的交互任务（176 个独特的描述符），以及 3）对会话代理（Alexa、Google 助理、Cortana）（383 个独特描述符）的 30,000 条在线评论的文本分析。我们将结果汇总到一组 349 个形容词中，然后在在线调查中由 744 人对其进行评分。因子分析表明，常用的人类人格大五模型并不能充分描述代理人格。