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作者：Lu, Tao; Zhang, Lihong; Zhang, Xiaoquan (Michael); Zhao, Zhenling
作者单位：Southern University of Science & Technology; Tsinghua University; Chinese University of Hong Kong; Chinese Academy of Sciences; University of Science & Technology of China, CAS
摘要：Uncertainty, particularly distribution uncertainty (a.k.a. ambiguity), holds significant relevance in both academic research and practical applications. Much of the existing research, however, has concentrated primarily on addressing outcome uncertainty (or risk), frequently neglecting the aspect of distribution uncertainty. This research delves into distribution uncertainty, a critical yet often overlooked aspect of empirical research. We argue that there is a pressing need to integrate consi...
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作者：Von Zahn, Moritz; Liebich, Lena; Jussupow, Ekaterina; Hinz, Oliver; Bauer, Kevin
作者单位：Goethe University Frankfurt; Technical University of Darmstadt
摘要：The use of explainable artificial intelligence (XAI) to render black-box artificial intelligence (AI) more interpretable to humans is gaining practical relevance. Prior research has shown that XAI can influence how humans think. Yet, little is known about whether XAI also affects how people think about their thinking (i.e., their metacognitive processes). We address this gap by investigating whether XAI affects metacognitive processes that guide human confidence judgments about their ability t...
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作者：Wang, Wen; Zhou, Mi; Li, Beibei; Zhuang, Honglei
作者单位：University System of Maryland; University of Maryland College Park; University of British Columbia; Carnegie Mellon University; Alphabet Inc.; Google Incorporated
摘要：Online education is a vital consumer industry that is undergoing rapid technological change. This paper develops a deep learning model to predict instructor performance on online education platforms from a content-based perspective. Specifically, we design an interpretable hierarchical transformer with contextual attention to predict instructor rating and course rating using textual data. Our model captures the inherent hierarchical structure of online courses and the sequential dependency of ...
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作者：Luan, Yingyue Luna; Kim, Yeun Joon; Zhou, Jing
作者单位：University of Queensland; University of Cambridge; University of Cambridge; Rice University; Rice University
摘要：Our research introduces a novel theory of augmented learning by reconceptualizing the concept and providing both theoretical insights and empirical evidence to explain its role in human-generative artificial intelligence (GenAI) co-creation for enhancing joint creativity over time. We propose shifting the focus of augmented learning from traditional human cognitive learning to a collective learning process, where humans and GenAI collaboratively rearrange their levels of involvement in co-crea...
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作者：Zhang, Xiaofei; Pu, Jingchuan; Lu, Yixin; Guo, Feng
作者单位：Harbin Institute of Technology; State University System of Florida; University of Florida; George Washington University; Tianjin University
摘要：Virtual teamwork has become a prevalent mode of collaboration. However, scant empirical attention has been given to the impact of virtual teamwork on individual members' performance beyond the team setting. In this paper, we fill this gap by studying virtual teams in the context of online medical consultation (OMC) platforms. Specifically, we collect data from two OMC platforms during a time period when both platforms offered individual consultations (i.e., one patient connected with one physi...
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作者：Ma, Tengteng; Hu, Yuheng; Lu, Yingda; Bhattacharyya, Siddhartha
作者单位：State University System of Florida; University of South Florida; University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital
摘要：With the rapid prevalence and massive user growth of social media platforms, efficiently targeting potential customers on these platforms has grown in importance for companies. Enhancing the likelihood that a social media user will engage with brand posts holds profound implications for online marketing strategy design. However, predicting customer engagement on social media comes with its own set of challenges. In this work, we design a graph neural network model called the graph neural netwo...
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作者：Zhu, Wangsheng; Tang, Shaojie; Mookerjee, Vijay
作者单位：Hong Kong University of Science & Technology; State University of New York (SUNY) System; University at Buffalo, SUNY; University of Texas System; University of Texas Dallas
摘要：Large volumes of online impressions are sold daily via real-time auctions to deliver targeted advertisements to consumers. Advertisers use data to learn about user preferences and select the most appropriate ad for each user, which also helps them optimize their bids in an ad auction. Although ad exchanges may provide some user data to advertisers, they are usually limited, and advertisers often acquire data from various sources to improve targeting performance. The acquisition of such data ca...
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作者：Zhang, Kaiyu; Wang, Qili; Qiu, Liangfei; Wang, Nan
作者单位：State University System of Florida; University of Florida; Beijing Technology & Business University
摘要：The selection of a business model significantly impacts the success of digital content platforms, influencing both consumers and creators. Within the field of serialized digital content, establishing incentives that align with creators' interests poses a notable challenge. Web novel platforms, which allow writers to produce and market their work online, have traditionally adopted a pay-per-view model, where readers pay for access to content. However, a recent trend has seen the introduction of...
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作者：Han, Miaozhe; Shen, Hongchuan; Wu, Jing; Zhang, Xiaoquan (Michael)
作者单位：Hong Kong University of Science & Technology; University of Macau; Chinese University of Hong Kong
摘要：Artificial intelligence (AI) has been increasingly deployed in business operations over the past decade. Although AI productivity in normal times has been extensively studied, direct evidence of its effectiveness in uncertain contexts is limited. Our work fills this gap by examining the contribution of AI to corporate resilience under natural disaster shocks, particularly concentrating on AI-using and goods-producing firms. We measure firm AI investment by the cumulative AI-relevant skills ext...
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作者：He, Jinghai; Hua, Cheng; Wang, Yingfei; Zheng, Zeyu
作者单位：University of California System; University of California Berkeley; Shanghai Jiao Tong University; University of Washington; University of Washington Seattle
摘要：Drug discovery is a complex process that involves sequentially screening and examining a vast array of molecules to identify those with the target properties. This process faces challenges because of the vast search space, the rarity of target molecules, and constraints imposed by limited data and experimental budgets. To overcome these challenges, we propose a human-centered human-algorithm collaboration framework. Notably, both the algorithm and humans have substantial knowledge gaps as huma...
