A decision model for designing NLP applications


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) × 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.

Paper published at User Centered Natural Language Processing Workshop in Companion Proceedings of the Web Conference 2022 (WWW)
I-Sheng (Eason) Chen
I-Sheng (Eason) Chen
1st-year PhD Student at Human-Computer Interaction Institute

Eason is a first-year PhD student in HCII at CMU.