6 citations · 10 across the 8 of their papers we have counts for
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cs.HC2023
Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out
Zidi Xiu, Kai-Chen Cheng, David Q. Sun +7
With the growing popularity of intelligent assistants (IAs), evaluating IA quality becomes an increasingly active field of research. This paper identifies and quantifies the feedba…
cs.HC2021★ 1 cited
Novelty and Primacy: A Long-Term Estimator for Online Experiments
Soheil Sadeghi, Somit Gupta, Stefan Gramatovici +3
Online experiments are the gold standard for evaluating impact on user experience and accelerating innovation in software. However, since experiments are typically limited in durat…