Digital Commons Network^™

Func: Reducing The Impact Of Android Framework Evolution On Malware Detection, Hailong Yu, Tiantian Wang, Lwin Khin Shar, Hanmeng Li, David Lo

Research Collection School Of Computing and Information Systems

Android malware detection approaches commonly use APIs and permissions as features for classifying malware. However, since the release of the first Android operating system in 2008, the Android framework has undergone numerous version updates. The evolution of the Android framework over time has led to changes in APIs and permissions, including deprecations and replacements. These changes can result in inaccurate characterization of Android malware, thereby affecting performance of malware detectors. There is a lack of methods to mitigate the impact of Android framework evolution on malware detection. To fill this gap, we conduct a systematic study of the impact of …

Outcomes Associated With Childhood Parental Divorce: An Umbrella Review Of Meta-Analyses, Gabriel Xing Da Tan, Andree Hartanto, Ysabel Thereze Ang Guevarra, Angel K. M. P. Lee, Jing Jie Kenneth Koh, K Tennakoon Appuhamillage Sandeeshwara Kasturiratna

Research Collection School of Social Sciences

Background: Childhood parental divorce has been consistently associated with a host of negative outcomes across multiple domains, such as socioemotional, behavioural, academic, and physical health, which can persist into adulthood. Despite extensive research on childhood parental divorce, the current literature lacks a systematic, integrated synthesis that clarifies which child outcomes are most consistently associated with parental divorce, as well as the potential moderators influencing these associations. Therefore, we conducted an umbrella review of meta-analyses to bridge this gap by consolidating the existing research and providing an exhaustive overview. Methods: Systematic searches were conducted across various databases and following a two-stage …

Log Off To Level Up: The Effect Of Social Media Hiatus On Goal Pursuit, Nekysha L. Y. Jalil, Yong Han Tan, Andree Hartanto, Eddie M. W. Tong

Research Collection School of Social Sciences

Concerns are growing that social media, with its constant notifications and attention-grabbing content, may distract individuals and hinder progress toward important goals. Despite its pervasive presence in our lives, the impact of social media on goal achievement has not been thoroughly studied. This within-subject experimental study aims to investigate the effects of social media hiatus (SMH), a short abstinence from social media usage, on goal pursuit processes. Participants (N= 107) completed daily diaries over three consecutive days of SMH and three days of regular social media use. SMH was manipulated by blocking participants’ access to multiple social media platforms. The …

The Effect Of A 14-Day Digital Nudge-Based Sleep Hygiene Intervention On Behavioural, Cognitive, And Emotional Well-Being In College Students: An Experimental Approach, Tracy X. Chen, Chi-Ying Cheng, Michelle Koay, Chin Boon Soh, Andree Hartanto

Research Collection School of Social Sciences

Sleep is essential for one's cognitive, psychological, and physical health. Yet, college students often face sleep deprivation due to academic demands, social obligations, and extracurricular commitments. This study implemented a 14-day Digital Nudge-Based Sleep Hygiene Intervention, delivered via a digital platform, to encourage healthier sleep practices among college students. Grounded in nudge theory, the digital intervention used subtle behavioural prompts to improve participants' sleep hygiene without imposing restrictions, demonstrating high adherence and scalability. Participants were guided through daily tasks to enhance autonomy and motivation, such as creating calming bedtime routines. The digital intervention led to positive outcomes across four domains: …

Brief Virtual Reality And Mixed Reality Mindfulness Breathing Exercise For Emotional Well-Being And Cognitive Functions In University Students: Within-Subjects Experimental Design Study, Zoey Khai Yee Eun, Charmaine Jiali Koh, Hwajin Yang, Adalia Yin Hui Goh, Meilan Hu, K Tennakoon Appuhamillage Sandeeshwara Kasturiratna, Andree Hartanto

Research Collection School of Social Sciences

Background: Mindfulness has been shown to enhance emotional well-being and cognitive performance, yet much of this evidence stems from interventions requiring prolonged practice, making them time-consuming and less accessible. Recent studies suggest that brief mindfulness sessions may also yield positive outcomes, but the effectiveness of such interventions in virtual reality (VR) and mixed reality (MR) remains underexplored. Objective: This study investigates the effects of brief mindfulness breathing exercises delivered through VR and MR on attentional and emotional restoration and self-control capacity. Methods: Using a within-subjects experimental design, 102 undergraduate participants (n=83, 81.4% female; mean age 20.87, SD 1.89) completed a …

Digital Grief Technology To Support Bereavement: A Systematic Review Of Potential Benefits And Risks, Xun Ci Soh, Adalia Yin Hui Goh, Paye Shin Koh, Andree Hartanto

Research Collection School of Social Sciences

Grief is a universal and inevitable experience. However, the way we support the bereaved is changing, especially in the digital era. This systematic review examines the potential benefits and risks associated with various digital grief technologies, including online grief support groups, generative AI chatbots, online memorials, online therapy interventions, virtual reality, and digitally reproduced visuals or audio of the deceased. A systematic search was conducted in seven databases, and 30 articles were included in the final review. Findings indicate that digital grief technologies offer several benefits, such as reductions in grief and depressive symptoms, enhanced social support, greater accessibility, and …

Understanding Critical Thinking In Generative Artificial Intelligence Use: Development, Validation, And Correlates Of The Critical Thinking In Ai Use Scale, Gabriel R. Lau, Wei Yan Low, Louis Tay, Ysabel Thereze Ang Guevarra, Dragon Gašević, Andree Hartanto

Research Collection School of Social Sciences

Generative AI tools are increasingly embedded in everyday work and learning, yet their fluency, opacity, and propensity to hallucinate mean that users must critically evaluate AI outputs rather than accept them at face value. The present research conceptualises critical thinking in AI use as a dispositional tendency to verify the source and content of AI-generated information, to understand how models work and where they fail, and to reflect on the broader implications of relying on AI. Across six studies ( N = 1341), we developed and validated the 13-item critical thinking in AI use scale and mapped its nomological network. …

The Restorative Effects Of Nature Exposure Via Virtual Reality On Well-Being, Self-Control, And Working Memory, Zoey K. Y. Eun, Hwajin Yang, Nicole R. Y. Chen, Andree Hartanto

Research Collection School of Social Sciences

The psychological benefits of nature exposure are vital for well-being in an increasingly urbanised world. While previous research has consistently demonstrated the restorative effects of natural environments on both physical and psychological health, findings on virtual nature simulations remain mixed, possibly due to the limited immersive quality of conventional displays. Virtual reality (VR), however, provides immersive visual and auditory engagement, making it a promising alternative for delivering nature-based experiences when direct exposure to real nature environments is unavailable. The present study examined the effects of VR-simulated nature on attentional and emotional restoration and self-control capacity, using a preregistered, within-subjects experimental …

Research "Junkification" Is Caused By Researchers, Not Journals, Simon Sebastian Groome, Jose C. Yong, Norman P. Li

Research Collection School of Social Sciences

Concerns about declining research quality have increasingly been framed as “junkification,” whereby academic output expands in volume while declining in epistemic value. A recent paper by Rhodes and Linnenluecke (2025) attributes this trend to changes in publishing, arguing that research quality erodes as journals and publishers become increasingly oriented toward output quantity and metrics, driven by monetization. In 2009, Nobel Laureate James Watson remarked that scientific publishing in the mid-twentieth century was both easier and of a higher standard than today (Web of Stories, 2017). If publishing is much easier of late, as Rhodes and Linnenelucke (R&L) argued, then how …

Factors Influencing Patient Recall For Follow-Up In The Multi-Stage Deployment Of Medical Intelligent Screening Systems, Wenjie Chen

Dissertations and Theses Collection (Open Access)

With the deep integration of artificial intelligence (AI) technology in the healthcare sector, intelligent screening systems have achieved significant breakthroughs in predictive accuracy; however, they commonly face a management challenge in clinical implementation: accurate early warnings but limited patient recall. To address this ineffective technological empowerment issue in practice, this study proposes a theoretical framework featuringbidirectional interactions between "technological empowerment" and"relational empowerment" based on empowerment theory to systematicallyinvestigate the dynamic evolution mechanisms and boundary conditions of patient recall willingness under multi-stage, cross-departmental deployment of medical intelligent screening systems. Using a leading municipal hospital as the primary experimental setting, the study …

Essays On Money Search Models, Fangfang Gong

Dissertations and Theses Collection (Open Access)

This dissertation comprises three papers that use money search models to revisit the distributional welfare costs of inflation, study the optimal design of a central bank digital currency (CBDC), and investigate the role of liquidity and monetary policy in initial investment and capital reallocation in secondary markets.

The second chapter develops a micro-founded general equilibrium model of payments to revisit the distributional welfare costs of inflation. We consider different cost structures incurred by merchants when accepting cash and deposits. In equilibrium, there exists a cutoff for buyers’ money holdings, above which card payments are accepted by merchants. We calibrate the …

Securing Cloud-Native Systems: From Vulnerability Analysis To External And Insider Threat Detection, Jiongchi Yu

Dissertations and Theses Collection (Open Access)

Cloud-native systems have become the backbone of modern software infrastructure. However, their dynamic resource orchestration and complex configurability introduce a large attack surface and intricate security challenges. Adversaries can externally exploit vulnerabilities in cloud components or perform insider movement within cloud environments to launch attacks. As these systems increasingly support critical services, security breaches can lead to severe operational and economic consequences.

Despite extensive efforts in vulnerability detection and attack monitoring, existing approaches struggle to remain effective in cloud-native environments characterized by rapid evolution and inherent heterogeneity. In particular, they exhibit three fundamental limitations: (1) Insufficient understanding of defect patterns …

Uncertainty, Information, And Major Choice: Evidence From Chinese Gaokao, Sikun Dou

Dissertations and Theses Collection (Open Access)

An unresolved background risk makes people more averse to other, independent  risks—most of all when a high-stakes, irreversible choice must be made under that risk. College major choice is such a setting. In China, students are admitted directly into a major they cannot easily change, and in the early 2000s they had to commit before learning their exam scores, bearing a field’s academic risk on top of an unresolved admission risk. Because STEM fields carry more academic risk and women are on average more risk-averse, this burden falls hardest on women’s entry into STEM. Exploiting a reform that moved application …

Using Satellite-Observed Geospatial Inundation Data To Identify The Impacts Of Floods On Firm-Level Performance: The Case Of China During 2000–2009, Pao-Li Chang, Fan Zheng

Research Collection School Of Economics

This paper compiles high-resolution geospatial inundation areas of China for the period 2000–2009 based on satellite imagery repositories filtered by the Global Flood Database (GFD). In parallel, we geocode a comprehensive firm-level dataset of China and combine these two sets of geospatial data to identify the set of inundated firms in each year of flood events, as well as the distances of all non-inundated firms from the inundated areas. Given the high-resolution inundation data, we adopt a generalized dynamic-panel specification to estimate dynamic and spatial spillover effects of floods on firm-level production activities (including outputs, capital and labor inputs, and …

Detecting Doubt In Reflective Learning: A Learning Analytics Study With Large And Small Language Models, Eng Lieh Ouh, Kar Way Tan, Siaw Ling Lo, Yuhao Zhang

Research Collection School Of Computing and Information Systems

Reflective learning enhances understanding, especially when instructors promptly address difficulties raised in student reflections. Automated doubt detection can reduce time for instructors, yet existing classification approaches take substantial time for manual annotation and model training. This paper investigates whether large and small language models (LLMs, SLMs) can automate doubt detection without time-consuming training. Using a dataset of anonymized student reflections, we evaluate zeroshot, few-shot prompting, and multi-step reasoning against prior supervised classification baselines. We show that LLMs (GPT-4o, Claude-4, Gemini-2.5) surpass earlier F1 scores without prompting, while prompting further improves their performance. However, using proprietary LLMs can raise cost and …

Cities And Climate Change, Matthias Roth, Enric Aguilar, Winston T. L. Chow

Research Collection College of Integrative Studies

We are pleased to present this special virtual collection of articles, highlighting the multifaceted interactions between cities, local climates, and global anthropogenic climate change. Climate change and urbanisation are the two global megatrends that transform human life and, at the same time, directly impact each other. Urban areas have the highest density of human populations and experience altered atmospheric conditions due to anthropogenic modification of natural physical settings and extra emissions of air pollutants and trace gases. One of the most obvious examples of climate modification due to humans is the urban heat island (UHI). This phenomenon describes urban regions, …

Miserly Thinking: Understanding The Factors Shaping Public Support Towards Project Wolbachia In Singapore, Shirley S. Ho, Agnes S. F. Chuah, Fiona J. W. Goh, Nova Mengxia Huang, Mengxue Qu, Hye Kyung Kim, Sonny Rosenthal

Research Collection College of Integrative Studies

Project Wolbachia is a vector control method that releases male Wolbachia-infected Aedes mosquitoes to curb dengue transmission in Singapore. While research has primarily focused on its efficacy, few studies have examined public opinion. This study draws upon the cognitive miser model and scientific literacy model to examine the factors shaping public support for Project Wolbachia. A nationally representative door-to-door survey was conducted in Singapore (N = 1,000) using multi-stage stratified random sampling. Our findings revealed that while knowledge about Project Wolbachia explains public support, laypeople may often rely on cognitive shortcuts, such as value predispositions, media attention, and pre-existing perceptions, …

Public Pool Usage As Adaptation Against Urban Heat, Stefan Borsky, Eric Fesselmeyer

Research Collection College of Integrative Studies

This paper examines the relationship between urban heat and outdoor public pool usage. Using attendance data from all 53 outdoor public pools in New York City, we analyze nonlinear effects of heat on pool usage across socioeconomic contexts. Pool attendance rises sharply with heat, especially in low-income neighborhoods where alternative coping options are likely limited. We also find that public pools reduce heat-related emergency medical service calls. Our findings highlight the need for equitable investment in blue infrastructure to enhance urban climate resilience and demonstrate how this type of adaptive infrastructure can play a critical role in managing urban heat.

Sevoauth: Secure Voiceprint Authentication With Hash-Based Feature Transformation, Rui Zhang, Zheng Yan, Robert H. Deng

Research Collection School Of Computing and Information Systems

While voiceprint authentication offers convenient user authentication and access control through voice feature recognition, a critical research gap remains: existing voiceprint authentication systems fail to simultaneously achieve sound security against replay, spoofing, and adversarial attacks, preserve voice privacy leakage, and satisfy usability demand. Previous efforts have struggled to balance these issues comprehensively. To bridge this gap, we present SeVoAuth, a cloud-based Voiceprint Authentication as a Service (VAaaS) system designed to provide privacy preservation, robust security, and enhanced usability. SeVoAuth stores a synthesized voiceprint of a user in the cloud during user registration, thereby safeguarding the privacy of the real voiceprint …

Synthesis And Evaluation Of Long-Term History-Aware Medical Dialogue, Hebin Hu, Renke Dai, Ah-Hwee Tan, Yilin Kang

Research Collection School Of Computing and Information Systems

An effective healthcare agent must be able to recall and reason over a patient’s longitudinal medical history. However, the absence of datasets with realistic long-term dialogue timelines limits systematic evaluation. Real clinical text is constrained by privacy and ethics, while existing benchmarks focus on isolated interactions, failing to capture cross-session reasoning. We introduce a framework for synthesizing high-quality, long-term medical dialogues with LLMs. Our approach entails a knowledge-guided decomposition into three stages: constructing synthetic patient profiles with diverse disease and complication trajectories, generating multiturn dialogues per encounter, and integrating them into a coherent longitudinal history dataset, MediLongChat. We establish three …

Collaborative Practices And Tool Utilization In Software Development Projects: A Student Perspective, Yi Meng Lau, Muhammad Syahmi Bin Abbas, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Software development is a collaborative activity that depends on effective teamwork, shared understanding, and coordinated use of development practices and tools. While these aspects are well studied in professional environments, they are less frequently examined within software engineering education. This study investigates how students collaborate in group projects, focusing on collaborative practices, tool usage, and their perceptions of software quality. We conducted a quantitative post-project survey with 143 second-year undergraduate students enrolled in a software development course. The results show that students actively share information and often establish team norms to support coordination and collaboration. However, students face challenges in …

Generation Of Elaborated, Targeted And Effective Feedback For Novice Programmers Using Llm, Hua Leong Fwa

Research Collection School Of Computing and Information Systems

Programming errors and misconceptions are pervasive in novice programmers which causes difficulty in the learning of computer programming. Large Language Models (LLMs), with their ability to comprehend and generate programming codes have shown promising results in the automatic identification of errors. This can potentially benefit student programmers by providing them with timely formative feedback at efficiencies and scale that were not attainable previously. In this study, we leveraged an LLM - OpenAI o4-mini for the generation of elaborated, targeted feedback for novice programmers across PHP and JavaScript exercises. We contend that the feedback needs to be effective and targeted other …

Selective Concolic Testing, Guofeng Zhang, Zhenbang Chen, Ziqi Shuai, Jun Sun, Weijiang Hong, Yufeng Zhang, Ji Wang, Yang Liu

Research Collection School Of Computing and Information Systems

The principled combination of symbolic execution and random testing lacks a formal foundation, especially in deciding which inputs to symbolize. We propose selective concolic testing, a cost-aware framework that formulates this choice as an optimized policy problem of a MDP (Markov Decision Process). We model program exploration over a finite control-flow graph, where MDP states represent covered statements, actions partition path constraints into symbolic and random fragments, rewards reflect coverage gain, and costs account for SMT solving effort and sampling inefficiency. Our framework yields the first formal characterization of selective symbolization as policy synthesis in a probabilistic system. We prove …

Robots And Ageing Population – Rehabilitation And Social Robots, Yuzhou Qian, Keng Siau

Research Collection School Of Computing and Information Systems

Population ageing is placing increasing pressure on healthcare and caregiving worldwide. Governments in different countries are looking into the use of advanced information technologies such as artificial intelligence and robotics to help in caring for ageing population. Older adults often need both physical assistance and psychological support, and robots have emerged as a promising technological approach to supplement eldercare. This paper provides an overview of the current state of robots in eldercare. It reviews the major definitions, categories, and features of robots used in healthcare and eldercare. The paper also examines the potential benefits of robotic technologies, such as reducing …

Ai Models As Cultural Beings: Investigating Ai Cultural Biases And The Impact Of Cultural Alignment On Human-Ai Creative Collaboration, Choon Ngee Tan, Meng Han, Roy Y. J. Chua, Chi-Ying Cheng

Research Collection Lee Kong Chian School Of Business

Existing research on AI cultural biases predominantly focuses on Western models, overlooking critical gaps in non-Western models. We conduct a comparative analysis of AI models – ChatGPT (U.S. developed) and ErnieBot (China developed) – from different cultures to investigate how corresponding cultural biases manifest in their outputs. Additionally, we examine how cultural alignment between human users and AI models impacts their collaborative creative performance and the underlying psychological mechanisms. In Study 1, multi-choice prompt with zero-shot technique was used to evaluate cultural biases in four widely used AI models – ChatGPT-3.5/4, ErnieBot-3.5/4 – comparing their responses to established cultural psychometric …

Research On The Impact Of Digital Transformation On Esg Performance Of Real Estate Enterprises, Lung Tim Tong

Dissertations and Theses Collection (Open Access)

In the era characterized by the dual carbon goals driving the green transformation of industries and the exponential growth of the digital economy, the real estate sector is at a critical transformation juncture. From a policy-oriented perspective, building codes and energy consumption quota standards issued by the Ministry of Housing and UrbanRural Development and other regulatory bodies have rendered it imperative for real estate enterprises to reduce carbon emissions throughout the entire building life cycle. From the market demand side, consumers' preference for green and intelligent living environments has compelled real estate firms to break through traditional development models. The …

The Impact Of Private Label Product Choice On Consumers' Hedonic Consumption Behavior, Xiaosong Wang

Dissertations and Theses Collection (Open Access)

The competitive landscape of the current retail market is changing rapidly, and private label products, as a unique product force, are playing a role in the fierce market competition. While extensive research has been conducted on why consumers purchase private label products, the behavioral outcomes of consumers’ private label choices have not been fully explored. Based on the business reality of private brand retailing in China, this study constructs a research model concerning the impact of private brand product choice on hedonic consumption behavior. Grounded in self-awareness theory, the paper proposes four scientific research hypotheses. Through seven empirical studies, it …

Autologger: A Multi-Agent Framework For The End-To-End Automated Logging, Renyi Zhong, Yintong Huo, Wenwei Gu, Yichen Li, Michael R. Lyu

Research Collection School Of Computing and Information Systems

Software logging is critical for system observability, yet developers face a dual crisis of costly overlogging and risky underlogging. Existing automated logging tools often overlook the fundamental whether-to-log decision and struggle with the composite nature of logging. In this paper, we propose AutoLogger, a novel hybrid framework that addresses the complete the end-to-end logging pipeline. AutoLogger first employs a fine-tuned classifier, the Judger, to accurately determine if a method requires new logging statements. If logging is needed, a multi-agent system is activated. The system includes specialized agents: a Locator dedicated to determining where to log, and a Generator focused on …

Smu Launches Longevity Societies And Economies Institute To Advance Knowledge And Innovation For Singapore’S Longevity Transition, Singapore Management University

SMU Press Releases and News

Singapore Management University (SMU) launched the SMU Longevity Societies and Economies Institute (LSEI) which will focus on the economic and societal transitions needed for economies and societies to continue thriving despite an ageing population. The new institute will consolidate SMU’s ageing-related research and drive an interdisciplinary agenda to build resilient and opportunity-rich longevity societies and economies.

Super Lidar Intensity For Robotic Perception, Wei Gao, Jie Zhang, Mingle Zhao, Zhiyuan Zhang, Shu Kong, Maani Ghaffari, Dezhen Song, Chengzhong Xu, Hui Kong

Research Collection School Of Computing and Information Systems

Conventionally, human intuition defines vision as a modality of passive optical sensing, relying on ambient light to perceive the environment. However, active optical sensing, which involves emitting and receiving signals, offers unique advantages by capturing both radiometric and geometric properties of the environment, independent of external illumination conditions. This work focuses on advancing active optical sensing using Light Detection and Ranging (LiDAR), which captures intensity data, enabling the estimation of surface reflectance that remains invariant under varying illumination. Such properties are crucial for robotic perception tasks, including detection, recognition, segmentation, and Simultaneous Localization and Mapping (SLAM). A key challenge with …