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Daily Problematic Smartphone Use Predicts Decreases In Self-Control Capacity: Evidence From Random-Intercept Cross-Lagged Panel Model, Adalia Yin Hui Goh, Andree Hartanto Jun 2026

Daily Problematic Smartphone Use Predicts Decreases In Self-Control Capacity: Evidence From Random-Intercept Cross-Lagged Panel Model, Adalia Yin Hui Goh, Andree Hartanto

Research Collection School of Social Sciences

Amidst the widespread increase in global smartphone screen time and the phenomenon of ‘The Great Exhaustion’, where multiple surveys indicate pervasive tiredness and feelings of being drained, there is growing concern about the link between problematic smartphone use and the capacity for self-control. While numerous studies have investigated the relationship between problematic smartphone use and self-control capacity, they are mostly cross-sectional. Thus, it is unclear whether the lack of capacity for self-control is an antecedent or consequence of problematic smartphone use. Addressing the research gap, we conducted a 7-day diary study to investigate the bidirectional relationship between problematic smartphone use …

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Conference Calls And Information Spillover: The Role Of Analyst Participation, Amanda Awyong, Young Jun Cho, Holly I. Yang Jun 2026

Conference Calls And Information Spillover: The Role Of Analyst Participation, Amanda Awyong, Young Jun Cho, Holly I. Yang

Research Collection School Of Accountancy

We examine the role of conference calls in creating information spillover within firms. We find that analyst participation in conference calls is positively associated with subsequent revisions in management forecasts, consistent with analysts' questions prompting managers to collect additional information. We find that this effect strengthens when analysts pose more questions on new topics and when they ask questions with abnormally positive or negative tones. We also find that analyst participation has greater effects when analysts have more experience and higher forecasting ability. Further analyses demonstrate that analyst participation is associated with higher accuracy in subsequently revised forecasts. Overall, our …

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Well-Being Of University Students In Singapore, Tina Li Yi Ng, Andree Hartanto, William Tov Jun 2026

Well-Being Of University Students In Singapore, Tina Li Yi Ng, Andree Hartanto, William Tov

Research Collection School of Social Sciences

Singapore provides an insightful case study for university student well-being due to its national culture of competitiveness. Amid a meritocratic society that valorizes academic success as the path to securing one’s future (Ho et al., 1998), educational attainment is central to Singaporean university students’ well-being (Inter-University Network, 2022). In response to Singapore’s increasing incidence of mental health challenges among young adults (Ministry of Health Singapore, 2022), the government and higher education institutes have sought to destigmatize mental health and improve accessibility to related resources. In this chapter, we review the literature on the well-being of Singaporean university students. We situate …

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The Emerging Roles Of Ai In Self-Directed Stress Management: Systematic Review, Mary Kamillah Grace Reyes, Shauna Sha Min Teo, Andree Hartanto Jun 2026

The Emerging Roles Of Ai In Self-Directed Stress Management: Systematic Review, Mary Kamillah Grace Reyes, Shauna Sha Min Teo, Andree Hartanto

Research Collection School of Social Sciences

Background: Stress is widespread and carries substantial mental health, social, and economic burdens. Yet, access to clinician-led stress management remains constrained by service capacity, cost, and stigma. In response, artificial intelligence (AI)–enabled tools have rapidly proliferated as scalable, self-directed options. However, evidence on how these systems support stress management outside formal clinical settings remains fragmented. Objective: This systematic review aimed to synthesize empirical evidence on how AI-enabled technologies are used for self-directed stress management. We mapped the emerging functions of these tools, the psychological frameworks informing their design, the populations and settings studied, and the outcomes reported. Methods: We conducted …

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Ai Fatigue In Human–Ai Interaction: Conceptual Framework, Scale Development And Validation, And Associations With Ai Engagement, Gabriel R. Lau, K. T. A. Sandeeshwara Kasturiratna, Adalia Y. H. Goh, Eddie M. W. Tong, Andree Hartanto Jun 2026

Ai Fatigue In Human–Ai Interaction: Conceptual Framework, Scale Development And Validation, And Associations With Ai Engagement, Gabriel R. Lau, K. T. A. Sandeeshwara Kasturiratna, Adalia Y. H. Goh, Eddie M. W. Tong, Andree Hartanto

Research Collection School of Social Sciences

Emerging from the accelerating pace of AI development, user fatigue arising from prolonged human–AI interaction has become an increasing concern in public discourse. This growing attention underscores the need to clarify why sustained engagement with AI systems can generate psychophysiological strain and how such exhaustion manifests in users. The present research develops a conceptual framework for AI fatigue and introduces the 15-item AI Fatigue Scale as a validated tool for examining its correlates. Across four studies with 717 participants, we generated and content-validated an item pool, identified and confirmed a four-factor (cognitive, emotional, physical, behavioural) higher-order model. The scale demonstrated …

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Drone Urbanisms, Siew Ying Shee Jun 2026

Drone Urbanisms, Siew Ying Shee

Research Collection School of Social Sciences

Across contemporary cities, unmanned aerial vehicles (UAVs) particularly drones have emerged as critical instruments for sensing, visualizing, and reconfiguring the built environment. Yet, urban space is not merely a passive backdrop for drone activity; it both shapes and is reshaped by them. The central question for understanding drone urbanism, then, is not only what drones do, but how their deployment redistributes the agency to see, know, and intervene across human operators, infrastructures, and algorithms.This renegotiation of visibility, authority, and knowledge takes shape through the ways drones mediate the governance and experiential textures of the city. Departing from the distant totalities …

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Engineering Immunity? Biotechnical Governance And The Experimental Failures Of Project Wolbachia In Singapore, Siew Ying Shee, Orlando Woods, Sayd Randle Jun 2026

Engineering Immunity? Biotechnical Governance And The Experimental Failures Of Project Wolbachia In Singapore, Siew Ying Shee, Orlando Woods, Sayd Randle

Research Collection School of Social Sciences

This paper introduces the idea of ‘experimental failure’ to critically interrogate the limits of engineering biological systems for urban governance. Whilst experimentation through projects related to smart cities and eco-cities has garnered significant attention, biotechnical experiments––which manipulate living organisms through technology––remain underexplored. Unlike interventions leveraging non-living, inanimate systems, engineering life must contend with ecological ‘unruliness’ and social uncertainties. These complexities often resist straightforward quantification and exceed conventional evaluation frameworks, demanding a rethinking of what constitutes ‘success’ and ‘failure’ in such interventions. Drawing on ethnographic research with public health officers, pest management professionals and residents in Singapore, we analyse the government-led …

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Durable Benefits Of Learning-By-Teaching For Research Question Generation Performance: A Field Experiment, Stephen Wee Hun Lim, Sarah Shi Hui Wong, Piyawan Visessuvanapoom Jun 2026

Durable Benefits Of Learning-By-Teaching For Research Question Generation Performance: A Field Experiment, Stephen Wee Hun Lim, Sarah Shi Hui Wong, Piyawan Visessuvanapoom

Research Collection School of Social Sciences

Generating good questions is central to scientific inquiry. How can we improve this skill in classrooms? This field experiment showed that teaching others enhances students’ ability to generate higher-order research questions that create new knowledge. Whereas learning-by-teaching often involves delivering face-to-face or video-recorded lectures, we tested its efficient implementation via writing a verbatim (i.e., word-for-word) teaching script, exactly as how one would orate a lecture. In a research and statistical methods course, 199 undergraduates studied statistical concepts by writing verbatim teaching scripts or study notes. One month later, students’ long-term learning was assessed on a high-stakes test, whereby they explained …

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Cycles Of Inequality In The Marketplace: Insights From Macro, Marketer, And Consumer Perspectives, Debora V. Thompson, Amna Kirmani, Rebecca Hamilton, Andy Li, Christilene Du Plessis, Daniel Fernandes, Guillaume Johnson, Brent Mcferren, Jian Ni, Vladmir Pavlov, Francine Petersen, Lisa Scheer, Yan Vieites, Keith Wilcox Jun 2026

Cycles Of Inequality In The Marketplace: Insights From Macro, Marketer, And Consumer Perspectives, Debora V. Thompson, Amna Kirmani, Rebecca Hamilton, Andy Li, Christilene Du Plessis, Daniel Fernandes, Guillaume Johnson, Brent Mcferren, Jian Ni, Vladmir Pavlov, Francine Petersen, Lisa Scheer, Yan Vieites, Keith Wilcox

Research Collection Lee Kong Chian School Of Business

Seeking inequality via differentiation is a fundamental theme in the marketing literature: consumers derive utility from products that convey socially valued attributes, and marketers target consumers by giving them opportunities to differentiate on socially valued attributes. However, as a large body of evidence shows, inequality can reduce consumer well-being and limit economic growth. In this paper, we take a systemic view of marketplace inequality, examining the interdependence among consumers, marketers, and macro forces in shaping inequality in markets for goods and services. Our broad review of the marketing literature across ten marketing journals and a variety of subdomains within the …

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Moving Beyond Entry Modes: Toward A New Paradigm Of International Involvement In An Era Of Digitalization And Global Transitions, Noman Shaheer, Sali Li, Liang Chen, Keith D. Brouthers, Dan Li, Peter Liesch Jun 2026

Moving Beyond Entry Modes: Toward A New Paradigm Of International Involvement In An Era Of Digitalization And Global Transitions, Noman Shaheer, Sali Li, Liang Chen, Keith D. Brouthers, Dan Li, Peter Liesch

Research Collection Lee Kong Chian School Of Business

We seek to reconceptualize internationalization strategy by shifting focus from static, single-entry mode choices to dynamic constellations of multiple involvement modes. In an era of rapid technological change enabled by artificial intelligence, blockchain, and robotics, geopolitical volatility fueled by trade wars and violent conflicts, and increasing sustainability demands, multinational corporations (MNCs) need to rethink how they are involved with diverse stakeholder expectations, prioritize flexibility and reversibility, and embed co-creation and legitimacy alongside efficiency. Extending Brouthers et al. (2022), we integrate transaction cost economics with resource-based, institutional, opportunity, and ecosystem perspectives to explain how MNCs configure and reconfigure various constellations of …

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Happycal: Designing Text And Image-Based Supports For Savouring Positive Work Experiences, Molly Stewart, Minghao Cai, Anthony Tang, Sam Liu, Chris Mosunic, Sowmya Somanath Jun 2026

Happycal: Designing Text And Image-Based Supports For Savouring Positive Work Experiences, Molly Stewart, Minghao Cai, Anthony Tang, Sam Liu, Chris Mosunic, Sowmya Somanath

Research Collection School Of Computing and Information Systems

Savouring positive work experiences can promote positive affect and well-being at work, yet there is limited guidance on how digital applications can support workers to engage in savouring. We developed HappyCal, a work-focused savouring application offering two forms of savouring support: text-based, a common modality in workplace reflection tools, and images, a largely unexplored approach in work-related savouring. We conducted an exploratory qualitative study where participants (N=36) used HappyCal over five days and engaged in savouring through either a text-only modality (n=17) or text input paired with image output (n=19). We found that (1) participants in both groups reported heightened …

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Compellingness In Nash Implementation, Shurojit Chatterji, Takashi Kunimoto, Paulo Daniel Salles Ramos Jun 2026

Compellingness In Nash Implementation, Shurojit Chatterji, Takashi Kunimoto, Paulo Daniel Salles Ramos

Research Collection School Of Economics

A social choice function (SCF) is said to be Nash implementable (in pure strategies) if there exists a mechanism in which every pure-strategy Nash equilibrium induces outcomes specified by the SCF. The main objective of this paper is to assess the impact of considering mixed-strategy equilibria in Nash implementation. We define compelling Nash implementation as a case where the implementing mechanism possesses a pure-strategy equilibrium that strictly Pareto dominates any undesired mixed-strategy equilibrium. We show that if the finite environment and the SCF to be implemented jointly satisfy what we call Condition COM, then we can construct a finite …

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Task Complexity Matters: An Empirical Study Of Reasoning In Llms For Sentiment Analysis, Donghao Huang, Zhaoxia Wang Jun 2026

Task Complexity Matters: An Empirical Study Of Reasoning In Llms For Sentiment Analysis, Donghao Huang, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Large language models (LLMs) with reasoning capabilities have fueled a compelling narrative that reasoning universally improves performance across language tasks. We test this claim through a comprehensive evaluation of 504 configurations across seven model families—including adaptive, conditional, and reinforcement learning-based reasoning architectures—on sentiment analysis datasets of varying granularity (binary, five-class, and 27-class emotion). Our findings reveal that reasoning effectiveness is strongly task-dependent, challenging prevailing assumptions: (1) Reasoning shows task-complexity dependence—binary classification degrades up to -19.9 F1% points (pp), while 27-class emotion recognition gains up to  +16.0 pp; (2) Distilled reasoning variants underperform base models by 3–18 pp on simpler tasks, …

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Ai In Healthcare: Regulatory Guidelines And Judge-Made Negligence Principles For Ai Implementers, Gary K. Y. Chan Jun 2026

Ai In Healthcare: Regulatory Guidelines And Judge-Made Negligence Principles For Ai Implementers, Gary K. Y. Chan

Research Collection Yong Pung How School Of Law

The use of artificial intelligence (AI) in healthcare may, notwithstanding its potential benefits, result in harm to patients from allegedly negligent acts or omissions by hospitals and medical doctors. In such circumstances, how should the principles in the tort of negligence (duty of care, breach, causation, remoteness of damage, and defences) respond to AI innovations in healthcare? In particular, how may the standard of care expected of hospitals and medical doctors be informed by regulatory guidelines? We refer to case law precedents and regulatory guidelines on the roles and responsibilities of doctors and hospitals as AI implementers. Importantly, they prompt …

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Navigating “I” And “We”: Coupled Identity And Spousal Influence In The Physical Activity Of Older Adults, Sapphire H. Lin, Rich Ling, Sonny Rosenthal Jun 2026

Navigating “I” And “We”: Coupled Identity And Spousal Influence In The Physical Activity Of Older Adults, Sapphire H. Lin, Rich Ling, Sonny Rosenthal

Research Collection College of Integrative Studies

This study explored how established dyadic social ties—particularly spousal relationships—influence older adults’ physical activity. While social support is often viewed as a positive force in promoting health behaviours, long-standing spousal dynamics can exert both enabling and constraining effects. Drawing on qualitative interviews with 22 older adults who participated in a field experiment examining the effects of feedback from fitness trackers and spousal influence, this study delves into the relational, individual, and situational factors shaping physical activity patterns. These factors led to both positive and negative outcomes in terms of step counts, goal attainment, and a diminished interdependence in couples’ physical …

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The City As Showroom: Singapore And The Rise Of The "Urban Solutions" Industry, Sol Andrew Stokols Jun 2026

The City As Showroom: Singapore And The Rise Of The "Urban Solutions" Industry, Sol Andrew Stokols

Research Collection College of Integrative Studies

This article uses the concept of the “city as showroom” to describe an emergent logic shaping urban development that stems from the growing importance of “urban solutions” as an industry. Focusing primarily on Singapore, the article examines how certain urban districts and high-profile sites are conceptualized as “showrooms” for the infrastructure and urban technologies they aim to export around the world. The idea of the “city as showroom” combines aspects of the curation of a city’s image through showcase districts, as well as “testbed urbanism” seen in certain smart-city projects. Singapore's need to reproduce itself as a model of urban …

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Potential Recyclable Materials In Buildings: A Framework For Greenhouse Gas Emissions Assessment Of Residential Buildings In Singapore, Pradeep Alva, Riccardo Talami, Wanyu Pei, Goran Sibenik, Martin Mosteiro-Romero, Clayton Miller, Rudi Stouffs Jun 2026

Potential Recyclable Materials In Buildings: A Framework For Greenhouse Gas Emissions Assessment Of Residential Buildings In Singapore, Pradeep Alva, Riccardo Talami, Wanyu Pei, Goran Sibenik, Martin Mosteiro-Romero, Clayton Miller, Rudi Stouffs

Research Collection College of Integrative Studies

As countries aim to reduce resource consumption and greenhouse gas (GHG) emissions, Whole Life Carbon Assessment (WLCA) has become a vital method for quantifying embodied and operational GHG emissions. However, few studies have conducted WLCA on an urban scale, often addressing operational or embodied GHG emissions in isolation without considering their cumulative impact. This study introduces a city-wide WLCA framework to assess the potential recyclable materials of urban building stock, using Singapore as a case study with 5915 public residential buildings. Upfront GHG emissions are calculated from material intensity and building information, while operational emissions are based on energy use …

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Grammar Expert: A University-Based Grammar Application To Support Grammar Learning And Writing Instruction, Ivy Chan, Yin Teng Chong Jun 2026

Grammar Expert: A University-Based Grammar Application To Support Grammar Learning And Writing Instruction, Ivy Chan, Yin Teng Chong

Research Collection College of Integrative Studies

Technologies like web-based grammar applications have been integrated into classroom writing pedagogy to enhance students’ learning experiences. Drawing from qualitative findings from students’ interviews and reflection journals over one semester, this technology review focuses predominantly on university students’ perceptions towards an internally developed grammar application, Grammar Expert. Adopting the Technology Affordances and Constraints Theory (TACT) framework, the review identifies that GE’s affordances include promoting engagement in grammar learning, offering a flexible and encouraging environment, and ensuring real-world applicability, while its constraints involve aspects related to a limited user interface. Subsequently, the authors will present their pedagogical narrative on integrating this …

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Social Exclusion Cues And Collective Action Motivation In Environmental Campaigns: The Buffering Role Of Social Support, Hwan-Ho Noh, Warren B. Chik Jun 2026

Social Exclusion Cues And Collective Action Motivation In Environmental Campaigns: The Buffering Role Of Social Support, Hwan-Ho Noh, Warren B. Chik

Research Collection Yong Pung How School Of Law

This study examines the influence of social exclusion cues on public engagement with environmental campaigns on social media, focusing on how such cues affect advertising attitudes and collective action motivation. Across two experimental studies, we investigated whether low engagement metrics, such as a small number of likes, function as symbolic exclusion cues that reduce perceived public support. The results indicate that social exclusion cues negatively affect advertising attitudes and collective action motivation, ultimately decreasing the intention to engage with the campaign. However, the presence of social support cues, which signal sustained public interest and social endorsement, effectively mitigated these negative …

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Long-Term Mine Planning: A Survey Of Classical, Hybrid And Artificial Intelligence-Based Methods, Nurul Asyikeen Azhar, Aldy Gunawan, Shih-Fen Cheng, Erwin Leonardi Jun 2026

Long-Term Mine Planning: A Survey Of Classical, Hybrid And Artificial Intelligence-Based Methods, Nurul Asyikeen Azhar, Aldy Gunawan, Shih-Fen Cheng, Erwin Leonardi

Research Collection School Of Computing and Information Systems

The aim of long-term mine planning (LTMP) is two-fold: to maximize the net present value of profits (NPV) and determine how ores are sequentially processed over the lifetime. This scheduling task is computationally complex as it is rife with variables, constraints, periods, uncertainties, and unique operations. In this paper, we present trends in the literature in the recent decade. One trend is the shift from deterministic toward stochastic problems as they reflect real-world complexities. A complexity of growing concern is also in sustainable mine planning. Another trend is the shift from traditional operational research solutions — relying on exact or …

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Patchfuzz: Patch Fuzzing For Javascript Engines, Junjie Wang, Zhihua Xie, Xiaofei Xie, Xiaoning Du, Xiangwei Zhang Jun 2026

Patchfuzz: Patch Fuzzing For Javascript Engines, Junjie Wang, Zhihua Xie, Xiaofei Xie, Xiaoning Du, Xiangwei Zhang

Research Collection School Of Computing and Information Systems

Context: Patch fuzzing is a technique aimed at identifying vulnerabilities that arise from newly patched code. While researchers have made efforts to apply patch fuzzing to testing JavaScript (JS) engines with considerable success, these efforts have been limited to using ordinary test cases or publicly available vulnerability PoCs (Proof of Concepts) as seeds, and the sustainability of these approaches is hindered by the challenges associated with automating the PoC collection. Objective: To address these limitations, we propose an end-to-end sustainable approach for JS engine patch fuzzing, named PatchFuzz. Method: It automates the collection of PoCs of a broader range of …

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To Wait Or To Transfer? A Three-Level Optimization Framework For Intermodal Transfer Coordination In First Train Timetabling And Bus Bridging Services Management, Hao Li, Liujiang Kang, Norman Weik, Huijun Sun, Qingying Lai, Zhiguang Cao Jun 2026

To Wait Or To Transfer? A Three-Level Optimization Framework For Intermodal Transfer Coordination In First Train Timetabling And Bus Bridging Services Management, Hao Li, Liujiang Kang, Norman Weik, Huijun Sun, Qingying Lai, Zhiguang Cao

Research Collection School Of Computing and Information Systems

This study addresses the integrated optimization of the first train timetabling and bus bridging service design (FTT-BBSD) for morning transfer challenges, two critical but interdependent passenger services in the public transit system. In contrast to most existing studies and conventional approaches, this study explicitly models the influence of passenger path choices and transfer mode selections on FTT-BBSD. Through a novel dual-level network representation that integrates subway and bus systems, we formulate the FTT-BBSD problem as a mixed-integer nonlinear programming model. The model simultaneously determines subway and bus timetables and bridging line deployment to minimize total travel time for all first …

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A Pruning-Based Question-Answering For Interactive Video Search: A Simple Baseline, Yu Tong Cheng, Phuong Anh Nguyen, Chong-Wah Ngo Jun 2026

A Pruning-Based Question-Answering For Interactive Video Search: A Simple Baseline, Yu Tong Cheng, Phuong Anh Nguyen, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

There are various factors affecting the performance of video search. An imprecise query will enlarge search space and reduce the discriminative power of ranking functions. This problem is further exacerbated by the presence of numerous visually or semantically similar videos in large datasets. Consequently, users need to painstakingly browse through many highly similar candidates to locate the search target, leading to increased cognitive load and inefficient searching. Ideally, engaging users through interactive questioning to resolve uncertainties in the search process is an effective strategy for progressively narrowing down the search space. However, despite rapid advances in deep learning, generating informative …

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Benchmarking Gaslighting Negation Attacks Against Multimodal Large Language Models, Bin Zhu, Yinxuan Gui, Huiyan Qi, Jingjing Chen, Chong-Wah Ngo, Ee-Peng Lim Jun 2026

Benchmarking Gaslighting Negation Attacks Against Multimodal Large Language Models, Bin Zhu, Yinxuan Gui, Huiyan Qi, Jingjing Chen, Chong-Wah Ngo, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Multimodal Large Language Models (MLLMs) have exhibited remarkable advancements in integrating different modalities, excelling in complex understanding and generation tasks. Despite their success, MLLMs remain vulnerable to conversational adversarial inputs. In this paper, we systematically study gaslighting negation attacks—a phenomenon where models, despite initially providing correct answers, are persuaded by user-provided negations to reverse their outputs, often fabricating justifications. We conduct extensive evaluations of state-of-the-art MLLMs across diverse benchmarks and observe substantial performance drops when negation is introduced. Notably, we introduce the first benchmark GaslightingBench, specifically designed to evaluate the vulnerability of MLLMs to negation arguments. GaslightingBench consists of multiple-choice …

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Language Embeddings Meet Shallow Autoencoders, Rodrigo Alves, Vojtěch Vančura, Pavel Kordík, Antoine Ledent Jun 2026

Language Embeddings Meet Shallow Autoencoders, Rodrigo Alves, Vojtěch Vančura, Pavel Kordík, Antoine Ledent

Research Collection School Of Computing and Information Systems

Shallow autoencoders are appealing recommenders due to their simplicity, scalability, and competitive retrieval quality, but they struggle in strict cold-start settings where new items have no interactions. We propose an inductive shallow autoencoder that leverages item side information (language embeddings) by fixing the decoder to item features and learning only an encoder in the same semantic space. To prevent trivial self-reconstruction without enforcing a hard zero diagonal, we introduce diagonal gating: a leave-one-item-out objective that blocks the self-copy shortcut only for the item being updated while retaining context from the rest of the user history. An alternating-style optimization trains the …

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Ppg-Sport: A Dataset For Reliable Heart Rate Monitoring From Wrist Ppg Under Dynamic Sports Conditions, Changshuo Hu, Hung Manh Pham, Yiming Zhang, Guanru Yan, Xiao Ma, Yuezhong Wu, Thivya Kandappu, Archan Misra, Dong Ma Jun 2026

Ppg-Sport: A Dataset For Reliable Heart Rate Monitoring From Wrist Ppg Under Dynamic Sports Conditions, Changshuo Hu, Hung Manh Pham, Yiming Zhang, Guanru Yan, Xiao Ma, Yuezhong Wu, Thivya Kandappu, Archan Misra, Dong Ma

Research Collection School Of Computing and Information Systems

Photoplethysmography (PPG) has become a cornerstone of physiological sensing in wearable devices, enabling non-invasive monitoring of heart rate and related biomarkers. However, its reliability deteriorates sharply under dynamic, high-intensity, or non-periodic motions such as those in sports, where existing datasets fail to capture realistic wrist dynamics. To address this gap, we introduce PPG-Sport, the first large-scale dataset designed for heart rate monitoring from wrist-worn PPG under real sports conditions. The PPG-Sport dataset includes synchronized PPG, inertial measurement unit (IMU), and electrocardiography (ECG) recordings from both wrists of 30 participants across six representative activities: stationary, walking, running, badminton, table tennis, and …

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A Survey Of Earable Technology: Trends, Tools, And The Road Ahead, Changshuo Hu, Qiang Yang, Yang Liu, Tobias Röddiger, Kayla-Jade Butkow, Mathias Ciliberto, Adam Luke Pullin, Jake Stuchbury-Wass, Mahbub Hassan, Cecilia Mascolo, Dong Ma Jun 2026

A Survey Of Earable Technology: Trends, Tools, And The Road Ahead, Changshuo Hu, Qiang Yang, Yang Liu, Tobias Röddiger, Kayla-Jade Butkow, Mathias Ciliberto, Adam Luke Pullin, Jake Stuchbury-Wass, Mahbub Hassan, Cecilia Mascolo, Dong Ma

Research Collection School Of Computing and Information Systems

Earable devices, wearables positioned in or around the ear, are undergoing a rapid transformation from audio-centric accessories into multifunctional systems for interaction, contextual awareness, and health monitoring. This evolution is driven by commercial trends emphasizing sensor integration and by a surge of academic interest exploring novel sensing capabilities. Building on the foundation established by earlier surveys, this work presents a timely and comprehensive review of earable research published since 2022. We attempt to answer three core questions: (1) how has earable research evolved in recent years, (2) what enabling resources are now available, and (3) what opportunities remain for future …

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Anatomical Domain Shifts: Test-Time Heterogeneous Adaptation For 3d Human Pose Prediction, Qiongjie Cui, Pan Zhou, Jingjing Chen, Na Zhao Jun 2026

Anatomical Domain Shifts: Test-Time Heterogeneous Adaptation For 3d Human Pose Prediction, Qiongjie Cui, Pan Zhou, Jingjing Chen, Na Zhao

Research Collection School Of Computing and Information Systems

The research frontier in human pose prediction (HPP) is advancing toward continual test-time adaptation (TTA), where models must self-adapt to dynamic test distributions. To date, the homeostatic continual TTA remains the sole viable solution, which isolates the model parameters and update domain-sensitive ones. Despite mitigating full-body domain gaps, human anatomical heterogeneity (domain shifts often localize to specific regions) is ignored. This anatomical-agnostic approach forces uniform parameter adaptation across kinematically distinct segments, causing: over-adaptation of stable regions and under-adaptation of shift-prone articulations. To address it, we introduce TT-HA, a novel Test-Time Heterogeneous Adaptation that implicitly estimates domain changes for anatomical segments, …

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History To Future: Evolving Agent With Experience And Thought For Zero-Shot Vision-And-Language Navigation, Guangzhao Dai, Shuo Wang, Zihan Wang, Guo-Sen Xie, Yang Yang, Jinshan Pan, Qianru Sun, Xiangbo Shu Jun 2026

History To Future: Evolving Agent With Experience And Thought For Zero-Shot Vision-And-Language Navigation, Guangzhao Dai, Shuo Wang, Zihan Wang, Guo-Sen Xie, Yang Yang, Jinshan Pan, Qianru Sun, Xiangbo Shu

Research Collection School Of Computing and Information Systems

Vision-and-Language Navigation in Continuous Environment (VLN-CE) requires an agent to follow language instructions to navigate the target destination. With the advancement of large language models (LLMs), recent efforts have explored adapting them for zero-shot VLN-CE, offering a promising solution in addressing the drawbacks of poor generalization in the training-based paradigm. However, existing LLM-based works primarily perform naive reasoning for decision-making and lack feedback, e.g., reviewing historical errors and predicting future potentials. Consequently, it may suffer from continuous failure for those initial error tasks. In this paper, we rethink LLM-based zero-shot VLN-CE and propose a new paradigm, named EvoNav, to improve …

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Adaptive Outlier Detection Over Data Stream, Rui Zhu, Mingyuan Jiang, Xiaochun Yang, Baihua Zheng, Bin Wang, Tao Qiu Jun 2026

Adaptive Outlier Detection Over Data Stream, Rui Zhu, Mingyuan Jiang, Xiaochun Yang, Baihua Zheng, Bin Wang, Tao Qiu

Research Collection School Of Computing and Information Systems

Continuous distance-based outlier detection in streaming data poses significant challenges and has a wide range of practical applications. Traditional threshold-based methods perform well under stable streaming conditions, where fixed parameters remain effective. However, they often struggle with dynamic data distributions and high stream speeds, leading to suboptimal performance, limited control over the number of returned outliers, and failure to meet real-time detection requirements. To address these issues, this paper introduces a novel Recall and Proportion-Aware Outlier Detection (RPA-OD) query. In RPA-OD, ρ defines a distance relaxation that enables real-time outlier detection. Specifically, objects with fewer than k neighbors within the …

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