基于说话者人格增强快速约会模拟中的印象变化预测
Enhancing Impression Change Prediction in Speed Dating Simulations Based on Speakers' Personalities
AI总结：
本文针对快速约会模拟中话语选择未考虑人格与逐句印象变化的问题，提出结合双方人格预测话语是否改善印象的方法，实验证明人格有助于预测印象变化，且模拟对话更受好评。
摘要：
本文聚焦于模拟快速约会中说话者之间印象得到改善的文本对话。该模拟涉及从文本生成模型生成的多个候选话语中选择一句能够复现特定说话者话语风格的话语，旨在改善该说话者的印象。准确选择能够改善印象的话语对于模拟至关重要。我们认为，一句话语是否能够改善对话伙伴对说话者的印象，可能取决于双方的人格。然而，近期的话语选择方法并未考虑每句话语对印象的影响，也未考虑人格因素。为了解决这一问题，我们提出了一种在考虑人格因素的情况下预测一句话语是否能够改善伙伴对说话者印象的方法。评估结果表明，人格在预测每句话语引起的印象变化方面是有用的。此外，我们使用所提方法对模拟对话进行了人工评估。结果显示，与不考虑人格因素所选话语相比，该方法能够模拟出更受好评的对话。
英文摘要：
This paper focuses on simulating text dialogues in which impressions between speakers improve during speed dating. This simulation involves selecting an utterance from multiple candidates generated by a text generation model that replicates a specific speaker's utterances, aiming to improve the impression of the speaker. Accurately selecting an utterance that improves the impression is crucial for the simulation. We believe that whether an utterance improves a dialogue partner's impression of the speaker may depend on the personalities of both parties. However, recent methods for utterance selection do not consider the impression per utterance or the personalities. To address this, we propose a method that predicts whether an utterance improves a partner's impression of the speaker, considering the personalities. The evaluation results showed that personalities are useful in predicting impression changes per utterance. Furthermore, we conducted a human evaluation of simulated dialogues using our method. The results showed that it could simulate dialogues more favorably received than those selected without considering personalities.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
