基于说话人性格预测对话中印象改善，提升速配模拟真实性
Enhancing Impression Change Prediction in Speed Dating Simulations Based on Speakers' Personalities
- 引入双方面性格特征预测每句话能否改善对方印象
- 实验显示考虑性格可显著提升印象变化预测准确率
- 人工评估表明该方法生成对话更受用户欢迎
本文聚焦于模拟速配场景中的文本对话，目标是通过选择能提升说话人印象的语句来优化对话生成。现有方法未考虑语句对印象的影响及双方性格因素。为此，我们提出一种新方法，基于双方性格预测特定语句是否有助于改善对方印象。实验结果表明，性格特征对预测印象变化具有显著帮助。进一步的人工评估显示，采用该方法生成的对话比忽略性格因素的版本更受欢迎，验证了其在真实感模拟中的有效性。
原文摘要 · Abstract (English)
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.
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