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20192022
most citedBias-Aware Design for Informed Decisions: Raising Awareness of Self-Selection Bias in User Ratings and Reviews

26 citations · 33 across the 5 of their papers we have counts for

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cs.HC202226 cited

Bias-Aware Design for Informed Decisions: Raising Awareness of Self-Selection Bias in User Ratings and Reviews

Qian Zhu, Leo Yu-Ho Lo, Meng Xia +2

People often take user ratings and reviews into consideration when shopping for products or services online. However, such user-generated data contains self-selection bias that cou…

cs.HC20202 cited

QLens: Visual Analytics of Multi-step Problem-solving Behaviors for Improving Question Design

Meng Xia, Reshika Palaniyappan Velumani, Yong Wang +2

With the rapid development of online education in recent years, there has been an increasing number of learning platforms that provide students with multi-step questions to cultiva…

cs.HC2020

Investigating the Effects of Robot Engagement Communication on Learning from Demonstration

Mingfei Sun, Zhenhui Peng, Meng Xia +1

Robot Learning from Demonstration (RLfD) is a technique for robots to derive policies from instructors' examples. Although the reciprocal effects of student engagement on teacher b…

cs.HC20204 cited

Predicting Student Performance in Interactive Online Question Pools Using Mouse Interaction Features

Huan Wei, Haotian Li, Meng Xia +2

Modeling student learning and further predicting the performance is a well-established task in online learning and is crucial to personalized education by recommending different le…

cs.HC2019

Visual Analytics of Student Learning Behaviors on K-12 Mathematics E-learning Platforms

Meng Xia, Huan Wei, Min Xu +4

With increasing popularity in online learning, a surge of E-learning platforms have emerged to facilitate education opportunities for k-12 (from kindergarten to 12th grade) student…

cs.HC20191 cited

Estimating Emotional Intensity from Body Poses for Human-Robot Interaction

Mingfei Sun, Yiqing Mou, Hongwen Xie +3

Equipping social and service robots with the ability to perceive human emotional intensities during an interaction is in increasing demand. Most of existing work focuses on determi…