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20192026
most citedTime Series Change Point Detection with Self-Supervised Contrastive Predictive Coding

115 citations · 450 across the 154 of their papers we have counts for

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19 papers · 1 filter

cs.HC2026

Scoping the Landscape of Large Language Model-based Affective Personal Informatics: Review, Reflection, Future Direction

Minjie Liu, Lihuan Li, Xuran Li +2

Affective personal informatics (PI) involves capturing, tracking, analyzing, and reflecting on personal data to support emotional self-awareness and mental well-being. Recent advan…

cs.HC2026

The Behavioural Reflection Test: A time-efficient measure of reflective reasoning in morally and epistemically charged decisions

Sion Weatherhead, Flora Salim, Aaron Belbasis +1

How readily people override intuitive conclusions through reflection shapes how they navigate dense information environments with reliable and misleading sources; yet the effective…

cs.HC2026

Zeitgeist-Aware Multimodal (ZAM) Datasets of Pro-Eating Disorder Short-Form Videos: An Idea Worth Researching

Eden Shaveet, Zefan Sramek, Yumi Hamamoto +8

Objective: Reliable identification of pro-eating disorder (pro-ED) content online suffers from two pervasive problems: 1) existing methods predominantly rely on text-based signals,…

cs.HC2026

Applying Value Sensitive Design to Location-Based Services: Designing for Shared Spaces and Local Conditions

Hiruni Kegalle, Flora D. Salim, Mark Sanderson +2

Location-Based Services (LBS) such as ride-sharing, accommodation, food delivery, and location-driven social media platforms entangle digital systems with physical spaces, thereby…

cs.HC2025

When Ads Become Profiles: Uncovering the Invisible Risk of Web Advertising at Scale with LLMs

Baiyu Chen, Benjamin Tag, Hao Xue +2

Regulatory limits on explicit targeting have not eliminated algorithmic profiling on the Web, as optimisation systems still adapt ad delivery to users' private attributes. The wide…

cs.HC2025★ 6 cited

SenseSeek Dataset: Multimodal Sensing to Study Information Seeking Behaviors

Kaixin Ji, Danula Hettiachchi, Falk Scholer +2

Information processing tasks involve complex cognitive mechanisms that are shaped by various factors, including individual goals, prior experience, and system environments. Underst…

cs.HC2025★ 2 cited

The Homework Wars: Exploring Emotions, Behaviours, and Conflicts in Parent-Child Homework Interactions

Nan Gao, Yibin Liu, Xin Tang +8

Parental involvement in homework is a crucial aspect of family education, but it often triggers emotional strain and conflicts. Despite growing concern over its impact on family we…

cs.HC2024

Evaluating the Influences of Explanation Style on Human-AI Reliance

Emma Casolin, Flora D. Salim, Ben Newell

Explainable AI (XAI) aims to support appropriate human-AI reliance by increasing the interpretability of complex model decisions. Despite the proliferation of proposed methods, the…

cs.HC2024★ 28 cited

Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health

Yongquan Hu, Shuning Zhang, Ting Dang +4

Integrating physiological signals such as electroencephalogram (EEG), with other data such as interview audio, may offer valuable multimodal insights into psychological states or n…

cs.HC2024★ 2 cited

Understanding Physiological Responses of Students Over Different Courses

Soundariya Ananthan, Nan Gao, Flora D. Salim

Student engagement plays a vital role in academic success with high engagement often linked to positive educational outcomes. Traditionally, student engagement is measured through…

cs.HC2024

Illuminating the Unseen: Investigating the Context-induced Harms in Behavioral Sensing

Han Zhang, Vedant Das Swain, Leijie Wang +7

Behavioral sensing technologies are rapidly evolving across a range of well-being applications. Despite its potential, concerns about the responsible use of such technology are esc…

cs.HC2024★ 8 cited

Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational Search

Kaixin Ji, Sachin Pathiyan Cherumanal, Johanne R. Trippas +4

Instruments such as eye-tracking devices have contributed to understanding how users interact with screen-based search engines. However, user-system interactions in audio-only chan…

cs.HC2024

GustosonicSense: Towards understanding the design of playful gustosonic eating experiences

Yan Wang, Humphrey O. Obie, Zhuying Li +3

The pleasure that often comes with eating can be further enhanced with intelligent technology, as the field of human-food interaction suggests. However, knowledge on how to design…

cs.HC2023★ 3 cited

Critiquing Self-report Practices for Human Mental and Wellbeing Computing at Ubicomp

Nan Gao, Soundariya Ananthan, Chun Yu +2

Computing human mental and wellbeing is crucial to various domains, including health, education, and entertainment. However, the reliance on self-reporting in traditional research…

cs.HC2023★ 4 cited

Leveraging Large Language Models for Generating Mobile Sensing Strategies in Human Behavior Modeling

Nan Gao, Zhuolei Yu, Yue Xu +4

Mobile sensing plays a crucial role in generating digital traces to understand human daily lives. However, studying behaviours like mood or sleep quality in smartphone users requir…

cs.HC2023

Exploring Emotional and Social Dynamics in Mobile Usage During Home Confinement

Nan Gao, Sam Nolan, Kaixin Ji +5

Home confinement, a situation experienced by individuals for reasons ranging from medical quarantines, rehabilitation needs, disability accommodations, and remote working, is a com…

cs.HC2021★ 3 cited

Towards Social Role-Based Interruptibility Management

Christoph Anderson, Judith Simone Heinisch, Shohreh Deldari +4

Pervasive and ubiquitous computing facilitates immediate access to information in the sense of always-on. Information such as news, messages, or reminders can significantly enhance…

cs.HC2020★ 3 cited

Exploring the Impact of COVID-19 Lockdown on Social Roles and Emotions while Working from Home

Sam Nolan, Shakila Khan Rumi, Christoph Anderson +2

In the opening months of 2020, COVID-19 changed the way for which people work, forcing more people to work from home. This research investigates the impact of COVID-19 on five rese…

cs.HC2020★ 32 cited

n-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagement in the Wild

Nan Gao, Wei Shao, Mohammad Saiedur Rahaman +1

The study of student engagement has attracted growing interests to address problems such as low academic performance, disaffection, and high dropout rates. Existing approaches to m…