TY - GEN
T1 - A Decision Model for Designing NLP Applications
AU - Chen, Eason
AU - Tseng, Yuen Hsien
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/4/25
Y1 - 2022/4/25
N2 - Among the NLP models' usages, some applications provide multiple output options, and some offer only a single result to the end-users. However, there is little research about which situations providing multiple outputs from NLP models will benefit the user experience. Therefore, in this position paper, we summarize the progress of NLP applications, which shows parallel outputs from the NLP model at once to users. Then a decision model is presented that can assist in deciding whether a given condition is suitable to show multiple outputs at once from the NLP model. We hope developers and UX designers can examine the decision model and create an easy-to-use interface that can present numerous results from the NLP model at once. Moreover, we hope future researchers can reference the decision model from this paper to explore the potential of other NLP models' usage that can show parallel outputs at once to create a more satisfactory user experience.
AB - Among the NLP models' usages, some applications provide multiple output options, and some offer only a single result to the end-users. However, there is little research about which situations providing multiple outputs from NLP models will benefit the user experience. Therefore, in this position paper, we summarize the progress of NLP applications, which shows parallel outputs from the NLP model at once to users. Then a decision model is presented that can assist in deciding whether a given condition is suitable to show multiple outputs at once from the NLP model. We hope developers and UX designers can examine the decision model and create an easy-to-use interface that can present numerous results from the NLP model at once. Moreover, we hope future researchers can reference the decision model from this paper to explore the potential of other NLP models' usage that can show parallel outputs at once to create a more satisfactory user experience.
KW - Decision Model
KW - Natural Language Generation
KW - Natural Language Processing
KW - User Experience
UR - http://www.scopus.com/inward/record.url?scp=85137468303&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85137468303&partnerID=8YFLogxK
U2 - 10.1145/3487553.3524921
DO - 10.1145/3487553.3524921
M3 - Conference contribution
AN - SCOPUS:85137468303
T3 - WWW 2022 - Companion Proceedings of the Web Conference 2022
SP - 1206
EP - 1210
BT - WWW 2022 - Companion Proceedings of the Web Conference 2022
PB - Association for Computing Machinery, Inc
T2 - 31st ACM Web Conference, WWW 2022
Y2 - 25 April 2022
ER -