论文标题
使用心理方法为基于语音的对话代理开发个性模型
Developing a Personality Model for Speech-based Conversational Agents Using the Psycholexical Approach
论文作者
论文摘要
我们介绍了针对人格维度的第一个系统分析，以描述基于语音的对话代理的人格。遵循心理学的心理方法，我们首先报告了一种新的多方法方法，从1）从1）在线调查中的一个免费描述任务（228个唯一描述符），2）实验室中的交互任务（176个唯一描述符），以及3个在线评论的30,000个在线媒介（Alexa，Google Assistess，corters，cortress）的文本分析（33）（33）（33）（33）（33）。我们将结果汇总成一组349个形容词，然后在在线调查中被744人评为。一个因素分析表明，通常使用的五巨头模型用于人格，不能充分描述代理人的个性。作为开发人格模型的第一步，我们提出了替代方案，并讨论了对代理人的设计，人格感知的个性化和未来研究的影响。
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.
