Digital Commons Network^™

Event-Based Eye Tracking: Event-Based Vision Workshop 2025, Qinyu Chen, Et. Al.

Research Collection School Of Computing and Information Systems

No abstract provided.

Predicting Consumers’ Purchase Intention Of Browsed Products: A Study Based On Eye‑Tracking, Feiyan Jia, Choon Ling Sia, Yani Shi, Fiona Fui-Hoon Nah, Keng Siau

Research Collection School Of Computing and Information Systems

Predicting consumers’ purchase intention of browsed products enables sellers to implement nuanced promotion strategies to stimulate purchase. But how can we predict consumers’ purchase intention of browsed products? Our research demonstrates that consumers’ eye movement data collected when they browse products can serve this aim. We train and test the prediction model using logistic regression and random forest algorithms. Using data collected in a laboratory experiment, our empirical results show that both algorithms perform much better than a random guess, and the logistic regression performs slightly better than the random forest. Our findings imply that eye movement data enable sellers …

A Knowledge Enhanced Large Language Model For Bug Localization, Yue Li, Bohan Liu, Ting Zhang, Zhiqi Wang, David Lo, Lanxin Yang, Jun Lyu, He Zhang

Research Collection School Of Computing and Information Systems

A significant number of bug reports are generated every day as software systems continue to develop. Large Language Models (LLMs) have been used to correlate bug reports with source code to locate bugs automatically. The existing research has shown that LLMs are effective for bug localization and can increase software development efficiency. However, these studies still have two limitations. First, these models fail to capture context information about bug reports and source code. Second, these models are unable to understand the domain-specific expertise inherent to particular projects, such as version information in projects that are composed of alphanumeric characters without …

Human-Computer Interaction And Artificial Intelligence For Ageing Population, Keng Siau, Hailiang Wang, Fiona Fui-Hoon Nah, Runyu Wang, Ruitong Che, Can Liu

Research Collection School Of Computing and Information Systems

As the global population ages rapidly, the field of human-computer interaction (HCI) is in urgent need of innovation, redesign, and reengineering to meet the evolving needs of older adults. The older demographic faces a range of challenges—including physical limitations, cognitive decline, reduced social in-tegration, and varying levels of technological literacy—that can hinder effective engagement with digital technologies. In response to these challenges, research-ers and designers are using inclusive and adaptive approaches to enhance acces-sibility, usability, and emotional well-being. This paper reviews key design prin-ciples in HCI for the ageing population and discusses how artificial intelligence (AI) tools, such as voice …

Unlocking The Power Of Socio-Knowledge Association For Enterprise Risk Identification In Stock Market, Zhenghao Liu, Keng Siau, Shaochen Yang, Feicheng Ma

Research Collection School Of Computing and Information Systems

Potential risk signals reflected in supply chain and equity connections between enterprises and social connections between investors are becoming crucial to identifying enterprise risks in addition to basic financial indicators. Traditional risk management systems face challenges in adapting to these complexities, highlighting the need for a proactive paradigm shift in risk management. Leveraging graph models such as social networks and knowledge graphs offers a promising approach to identifying and managing potential associated risks effectively. To bridge existing research gaps, a novel risk identification framework driven by social-knowledge graphs has been proposed, integrating graph deep learning and reinforcement learning techniques guided …

Deepvec: State-Vector Aware Test Case Selection For Enhancing Recurrent Neural Network, Zhonghao Jiang, Meng Yan, Li Huang, Weifeng Sun, Chao Liu, Song Sun, David Lo

Research Collection School Of Computing and Information Systems

Deep Neural Networks (DNN) have realized significant achievements across various application domains. There is no doubt that testing and enhancing a pre-trained DNN that has been deployed in an application scenario is crucial, because it can reduce the failures of the DNN. DNN-driven software testing and enhancement require large amounts of labeled data. The high cost and inefficiency caused by the large volume of data of manual labeling, and the time consumption of testing all cases in real scenarios are unacceptable. Therefore, test case selection technologies are proposed to reduce the time cost by selecting and only labeling representative test …

Ef21 With Bells & Whistles: Six Algorithmic Extensions Of Modern Error Feedback, Ilyas Fatkhullin, Igor Sokolov, Eduard Gorbunov, Zhize Li, Peter Richtarik

Research Collection School Of Computing and Information Systems

First proposed by Seide (2014) as a heuristic, error feedback (EF) is a very popular mechanism for enforcing convergence of distributed gradient-based optimization methods enhanced with communication compression strategies based on the application of contractive compression operators. However, existing theory of EF relies on very strong assumptions (e.g., bounded gradients), and provides pessimistic convergence rates (e.g., while the best known rate for EF in the smooth nonconvex regime, and when full gradients are compressed, is O(1/T2/3), the rate of gradient descent in the same regime is O(1/T)). Recently, Richtàrik et al. (2021) proposed a new error feedback mechanism, EF21, based …

Less Is More: On The Importance Of Data Quality For Unit Test Generation, Junwei Zhang, Xing Hu, Shan Gao, Xin Xia, David Lo, Shanping Li

Research Collection School Of Computing and Information Systems

Unit testing is crucial for software development and maintenance. Effective unit testing ensures and improves software quality, but writing unit tests is time-consuming and labor-intensive. Recent studies have proposed deep learning (DL) techniques or large language models (LLMs) to automate unit test generation. These models are usually trained or fine-tuned on large-scale datasets. Despite growing awareness of the importance of data quality, there has been limited research on the quality of datasets used for test generation. To bridge this gap, we systematically examine the impact of noise on the performance of learning-based test generation models. We first apply the open …

Verify All Traffic: Towards Zero-Trust In-Network Intrusion Detection Against Multipath Routing, Ziming Zhao, Zhaoxuan Li, Xiaofei Xie, Zhipeng Liu, Tingting Li, Jiongchi Yu, Fan Zhang, Binbin Chen

Research Collection School Of Computing and Information Systems

With the popularity of encryption protocols, machine learning (ML)-based traffic analysis technologies have attracted widespread attention. To adapt to modern high-speed bandwidth, recent research is dedicated to advancing zero-trust intrusion detection by offloading feature extraction and model inference into the network dataplane. Especially, with the rise of programmable switches, achieving line-speed ML inference becomes promising. However, existing research only considers a single switch node as a relay to conduct evaluation. This is far from real-world deployments involving multiple switches (given that zero-trust security assumes that threats can originate from anywhere, including within the network), particularly the multipath routing phenomenon that …

From Data To Discovery: Empowering Research With Comprehensive Library Services At Smu Libraries, Redzuan Abdullah

Research Collection Library

Academic libraries face increasing challenges in supporting complex research data needs across multiple financial and business databases. These challenges are amplified by the diverse nature of data sources, the intricacy of data extraction processes, and the varying levels of research support required by different user groups. While data quality issues persist, commercial databases in finance, accounting, and economics remain of significant interest for academic research (Liu et al., 2024; Reiter, 2020).

This presentation presents SMU Libraries’ comprehensive research & data services, particularly our specialized Data Discovery support, which emphasizes three distinctive offerings: expert guidance on data navigation and retrieval across …

Smu Appoints Professor Zhang Liandong As New Dean Of School Of Accountancy, Singapore Management University

SMU Press Releases and News

The Singapore Management University (SMU) has appointed Professor Zhang Liandong [张连栋教授] as the new Dean of its School of Accountancy (SOA), effective 1 July 2025. With over seven years of leadership experience at SOA, Professor Zhang will lead strategic initiatives to elevate the School’s academic reputation and impact.

The Backdrop Of Leadership: How Environmental Awe Influences Charisma Attributions, Jack Mcguire, Nicolas Bastardoz, Leonie J. Hentrup, David De Cremer, Jochen I. Menges

Research Collection Lee Kong Chian School Of Business

Charisma is often attributed to leaders based on how they look, talk, and behave. Yet very little is known about the role of the physical environment in influencing attributions of leader charisma. The role of the physical environment is crucial because leaders inevitably occupy physical spaces that vary across contexts. In this research, we find that the grandeur of the physical environment, specifically in its ability to induce awe, enhances attributions of charisma for leaders who are not already known to be charismatic. First, in a field experiment, we show that a real business leader is attributed with more charisma …

Of Headlamps And Marbles: A Motivated Perceptual Approach To The Dynamic And Dialectic Nature Of Fairness, Michael Ramsay Bashshur, Laurie J. Barclay, Marion Fortin

Research Collection Lee Kong Chian School Of Business

How do people perceive fairness? Recently, fairness scholars have raised important theoretical questions related to what information is used in fairness perceptions, why this information is emphasized, and how fairness perceptions can change over time. Integrating the Brunswikian lens approach with a motivated cognition perspective, we develop the Motivated Perceptual Approach (MPA) to highlight how people can be motivated to selectively perceive and weight cues to form fairness perceptions that align with their motives. However, these motives can change over time and through interaction with motivated others. By illuminating the dynamic and dialectic processes underlying fairness perceptions, the MPA sheds …

Monitoring Incentives And Tax Planning: Evidence From State-Owned Enterprises, Eva Eberhartinger, David M. P. Samuel

Research Collection School Of Accountancy

This study provides new evidence on the association of state ownership and tax planning by showing that a state owner’s monitoring incentives affect a firm’s tax planning. Using the setting of a developed market economy, Germany, we distinguish between state owners that directly benefit from state-owned enterprises’ (SOEs’) income tax payments and those that do not. Our results indicate that state ownership is not associated with less tax planning unless the state owner directly benefits from higher tax payments. These results are robust to various specifications and suggest that shareholders’ monitoring incentives are a determinant of a firm’s tax planning …

The Prospects Of The High Seas Treaty Decisively Reducing The Negative Biodiversity Impacts Of Distant Water Fishing Operations, Shirley V. Scott, Nengye Liu

Research Collection Yong Pung How School Of Law

International fisheries law has so far proven inadequate to prevent over-fishing on the high seas, a key cause of biodiversity loss in areas of the ocean beyond national jurisdiction (ABNJ). Negotiation of the High Seas Treaty (Agreement under the United Nations Convention on the Law of the Sea on the Conservation and Sustainable Use of Marine Biological Diversity of Areas beyond National Jurisdiction or BBNJ Agreement) afforded an opportunity to respond decisively to the worsening problem. The Treaty was concluded in 2023. It is yet to enter into force. Preparations and negotiations for the Treaty spanned some 20 years. By …

Hdwsa2: A Secure Hierarchical Deterministic Wallet Supporting Stealth Address And Signature Aggregation, Xin Yin, Zhen Liu, Guomin Yang, Guoxing Chen, Haojin Zhu

Research Collection School Of Computing and Information Systems

Hierarchical Deterministic Wallet (HDW) and Stealth Address (SA) are widely used in cryptocurrency communities due to their functionality and security. In the preliminary version of this work (ESORICS 2022), we formally define the syntax and security models of Hierarchical Deterministic Wallet supporting Stealth Address (HDWSA), capturing the functionality and security requirements imposed by the practice in cryptocurrency. We propose a concrete HDWSA construction and prove its security in the random oracle model. Note that when applied in blockchain, in practice, signature aggregation could reduce the cost of computation, storage, and communication dramatically. In this full version, we develop HDWSA definition …

Oscar: Object Status And Contextual Awareness For Recipes To Support Non-Visual Cooking, Franklin Mingzhe Li, Kaitlyn Ng, Bin Zhu, Patrick Carrington

Research Collection School Of Computing and Information Systems

Following recipes while cooking is an important but difficult task for visually impaired individuals. We developed OSCAR (Object Status Context Awareness for Recipes), a novel approach that provides recipe progress tracking and context-aware feedback on the completion of cooking tasks through tracking object statuses. OSCAR leverages both Large-Language Models (LLMs) and Vision-Language Models (VLMs) to manipulate recipe steps, extract object status information, align visual frames with object status, and provide cooking progress tracking log. We evaluated OSCAR’s recipe following functionality using 173 YouTube cooking videos and 12 real-world non-visual cooking videos to demonstrate OSCAR’s capability to track cooking steps and …

The Effects Of Income On Infant Health: Evidence From The Coal Boom And Bust, Chu Gek Chew

Dissertations and Theses Collection (Open Access)

An individual’s health at birth is an important component in human capital accumulation, posing significant implications both in the short- and long-run. I investigate how infant health outcomes were impacted during a period of successive positive and negative economic shocks led by the coal industry between the 1970s to 1990s. Using exogenous variation within counties’ pre-existing coal reserves, I instrument for the changes in economic opportunities during the coal boom and bust. I find some limited evidence that an increase in income improves infant health outcomes. The incidence of low birthweight is decreasing in earnings growth, and effects are stronger …

Intraday Volatility In Financial Markets: Evidence From High-Frequency Data, Haolin Wang

Dissertations and Theses Collection (Open Access)

In this study, we conduct an analysis of intraday spot volatility using high-frequency data from the SPDR S&P 500 ETF (SPY). We begin with the assumption that the intraday volatility of asset prices exhibits time-variation. To capture this dynamic behavior, we construct proxies for the unobserved spot volatility by applying appropriate estimators to the high-frequency price data. Following the estimation procedure, we employ various forecasting models to generate volatility forecasts. Finally, we evaluate and compare the predictive performance of these models using established forecast evaluation metrics, and analyze the results.

More Than Meets The Eye: Misaligned Expectations In Social Interactions For Individuals With Chronic Illness, Janice Patricia

Dissertations and Theses Collection (Open Access)

Despite the importance of social relationships for well-being, individuals with chronic illness often face barriers that deter them from initiating meaningful connections, such as perceived stigma, fear of rejection, or strained relationships upon a disclosure of their illness. These challenges reveal two key misalignments: overestimated negative (or underestimated positive) expectations of social interactions held by individuals with chronic illness, as well as perceptions held by potential acquaintances. The present study examined how these misalignments hinder social interactions and relationship initiation. Study 1 involved individuals with chronic illness and revealed that participants overestimated the likelihood of awkwardness, disrespect, and rejection, while …

Public Health Messaging About Dengue On Facebook In Singapore During The Covid-19 Pandemic: Content Analysis, Shirley S. Ho, Mengxue Ou, Nova Mengxia Huang, Agnes S.F. Chuah, Vanessa S. Ho, Sonny Rosenthal

Research Collection College of Integrative Studies

Background:Dengue, a mosquito-borne disease, has been a health challenge in Singapore for decades. In 2020, during the COVID-19 pandemic, Singapore encountered a serious dengue outbreak and deployed various communication strategies to raise public awareness and mitigate dengue transmission.Objective:Drawing on the Crisis and Emergency Risk Communication (CERC) framework, this study examines how dengue-related messages communicated on Facebook (Meta) during the COVID-19 pandemic fall into the CERC themes. This study also seeks to understand how these themes differ between dengue outbreak (eg, 2020) and nonoutbreak years (eg, 2021). In addition, we explore how message themes on dengue changed across different CERC phases …

Strategic Thinking Skills: A Key To Collective Economic Success, Syngjoo Choi, Seonghoon Kim, Wooyoung Lim

ROSA Journal Articles and Publications

We conduct a large-scale experiment to measure elementary aspects of strategic thinking skills and their linkage to labor market outcomes. Two incentivized measures of higher-order rationality and backward induction are developed. Males' (females') strategic thinking skills are positively (negatively) associated with individual labor income. However, among married individuals, strategic thinking skills are significantly and positively associated with their household labor income regardless of gender, highlighting the importance of strategic thinking skills for collective economic success. We argue that the intrahousehold channels encompassing collective labor supply with home-to-workplace spillover and marriage assortative matching offer the most plausible explanation for our findings.

The Deterrence Effects Of Tax Whistleblower Laws: Evidence From New York’S False Claims Acts, Yoojin Lee, Shaphan Ng, Terry Shevlin, Aruhn Venkat

Research Collection School Of Accountancy

In this study, we provide evidence on the effects of state tax whistleblower laws. We exploit a novel 2010 amendment to New York’s False Claims Acts (FCA) that explicitly extended whistleblower incentives to corporate income tax whistleblowers. We identify treated firms (firms exposed to New York’s FCA) using establishment-level data and descriptive analyses. Using a sample of firms exposed to New York and neighboring states, we find evidence that New York’s FCA reduced state tax avoidance. In cross-sectional tests, we find that effects are increasing in firms that grant fewer employee stock options and industry regulation, consistent with deterrence increasing …

The Efficacy Of Incorporating Artificial Intelligence (Ai) Chatbots In Brief Gratitude And Self-Affirmation Interventions: Evidence From Two Exploratory Experiments, Jing Wen Hung, Andree Hartanto, Adalia Y.H. Goh, Zoey K.Y. Eun, K. T. A. Sandeeshwara Kasturiratna, Zhi Xuan Lee, Nadyanna M. Majeed

Research Collection School of Social Sciences

Numerous studies have demonstrated that positive psychology interventions, including brief interventions, can significantly improve well-being outcomes. These findings are particularly important given that many of these interventions are brief and self-administered, making them both accessible and scalable for large populations. However, the efficacy of positive psychology interventions is often constrained by small effect sizes. In light of advancements in generative Artificial Intelligence (AI), this study explored whether integrating AI chatbots into positive psychology interventions could enhance their efficacy compared to traditional self-administered approaches. Study 1 examined the efficacy of a gratitude intervention delivered through Snapchat's My AI, while Study 2 …

Shareholder Satisfaction Or Societal Benefit? Coalition Support And Goal Prioritization, Man Zhang, Helen Hu, Toru Yoshikawa

Research Collection Lee Kong Chian School Of Business

Research on the behavioral theory of the firm has established that the profitability goal triggers various firm actions, but it has yet to thoroughly explore which other goals may gain prominence in directing firm resources if the profitability goal has been achieved. We identify shareholder satisfaction and societal benefit as two additional organizational goals and predict that when firms have achieved their profitability aspirations, the financial resources allocated to pursue these goals depend on the dominance of coalitions supporting or opposing them. Drawing on the coalition theory within the behavioral theory of the firm, we theorize that the prioritization and …

Does Moving From One-Story Building To Multi-Building Affect The Health Status Of The Elderly: Evidence From China’S Par Program, Lu Cao

Dissertations and Theses Collection (Open Access)

This study investigates the causal impact of relocating from single-story to multistory buildings on the health outcomes of elderly residents in China. Using China’s Poverty Alleviation Relocation (PAR) program as an exogenous policy shock, we employ instrumental variable and difference-in-differences approaches to establish causality. Our analysis of data from the China Health and Retirement Longitudinal Study (2011-2018) reveals a nuanced relationship between vertical living and elderly health. While relocation to multi-story buildings is associated with deterioration in self-reported physical health status, it significantly improves mental health conditions and life satisfaction among elderly movers. We identify two key mechanisms driving these …

Is Subjective Well-Being Insured Against Income Shocks? Evidence From 20-Year Panel Data In South Korea, Jiyeon An, Taehyun Ahn, Kim

Research Collection School Of Economics

Using 20 years of nationally representative panel data in South Korea, we estimate how life satisfaction responds to income shocks. We document that unexpected income changes significantly impact an individual's life satisfaction, and the magnitudes depend on the persistence of income shocks. We find that permanent income shocks substantially penetrate life satisfaction, while transitory income shocks have minimal impact. We also find that life satisfaction regarding external factors such as family income and leisure activities is more sensitive to income shocks than life satisfaction related to social relationships. Our findings imply that it is critical for the government to address …

The Impact Of Nafta On Prices And Competition: Evidence From Mexican Manufacturing Plants, Felipe Brugués, Ayumu Ken Kikkawa, Yuan Mei, Pablo Robles

Research Collection School Of Economics

This paper assesses the impact of the North American Free Trade Agreement on Mexican manufacturing plants’ output prices and markups. We distinguish between Mexican goods that are exported and those sold domestically, and decompose their prices separately into markups and marginal costs. We then analyze how these components were affected by the reductions in Mexican output tariffs, intermediate input tariffs, and U.S. tariffs on Mexican exports. We find that domestically sold products saw a decline in prices as Mexican plants faced more competition and gained access to cheaper inputs. Prices of exported goods fell only slightly as plants increased their …

Regulating Decentralised Finance? A Singapore Perspective, Rachel Phang

Research Collection Yong Pung How School Of Law

The emergent phenomenon of decentralised finance (“DeFi”) can be understood as the performance of financial functions through applications that are built on distributed ledger technology and operate using cryptoassets and smart contracts, without the need for traditional centralised intermediaries. In what ways does DeFi challenge existing financial regulation, and how should regulation develop in light of the DeFi phenomenon? In addressing this question, this article provides an overview of DeFi, surveys the current regulatory landscape in Singapore, considers key regulatory issues and policy considerations associated with DeFi, and discusses some potential directions for the future development of the regulation of …

Educating Indians, Learning ‘Indianness’: Navigating Pluralistic Educational Infrastructures In Diasporic Singapore, Emma Grimley, Orlando Woods, Lily Kong

Research Collection College of Integrative Studies

This paper advances the idea of ‘educational infrastructures’ to explore the slippages created by national education frameworks and the everyday ways in which citizen-subjects learn to be part of an ethno-cultural community. In doing so, we tease apart the differences between education as a top-down process of citizen-making and learning as a poly-directional assemblage of behaviours and influences that permeate the socio-spatial landscapes of ethnic belonging. We illustrate these theoretical arguments through an analysis of Singapore’s diasporic Indian community and the collapse of linguistically and culturally complex community backgrounds under the Mother Tongue policy. This leads to a pluralisation of …