论文标题
自然语言生成聊天机器人的多个答复的影响
The Effect of Multiple Replies for Natural Language Generation Chatbots
论文作者
论文摘要
在这项研究中，通过多次回复用户的话语来创建小组聊天氛围，我们可以减轻自然语言生成聊天机器人可能会以不适当的内容回复的问题，从而导致不良的用户体验。因为根据我们的发现，用户倾向于注意适当的答复，而忽略不适当的答复。我们进行了2个（单一答复与五个答复）x 2（匿名阿凡达与动漫阿凡达）重复测量实验，以比较不同条件下的聊天体验。结果表明，与单个答复相比，从NLG模型中获得多个答复时，用户将具有更好的聊天体验。此外，根据我们的结果的效果大小，可以改善NLG聊天机器人的聊天体验，这是单个答复和匿名的头像，提供五个答复将比设置动漫头像具有更多的好处。
In this research, by responding to users' utterances with multiple replies to create a group chat atmosphere, we alleviate the problem that Natural Language Generation chatbots might reply with inappropriate content, thus causing a bad user experience. Because according to our findings, users tend to pay attention to appropriate replies and ignore inappropriate replies. We conducted a 2 (single reply vs. five replies) x 2 (anonymous avatar vs. anime avatar) repeated measures experiment to compare the chatting experience in different conditions. The result shows that users will have a better chatting experience when receiving multiple replies at once from the NLG model compared to the single reply. Furthermore, according to the effect size of our result, to improve the chatting experience for NLG chatbots which is single reply and anonymous avatar, providing five replies will have more benefits than setting an anime avatar.
