University of New South Wales

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#234

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Latest papers from University of New South Wales

CHI '26Immersion & Presence Research +2

Understanding the Effects of Interaction on Emotional Experiences in VR

Virtual reality has been effectively used for eliciting emotions, yet most research focuses on the intensity of affective responses rather than on how interaction influences those experiences. To address this gap, we advance a validated VR emotion-elicitation dataset through two key extensions. First, we add a new hig…

CHI '26Micromobility (E-bike, E-scooter) Interaction +2

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

Location-Based Services (LBS) such as ride-sharing, accommodation, food delivery, and location-driven social media platforms entangle digital systems with physical spaces, thereby generating impacts that extend beyond users to others who share the same environments. Existing design approaches struggle to address the d…

MOBILEHCI '25External HMI (eHMI) — Communication with Pedestrians & Cyclists +1

"Nuisance is Better Than Nothing?": Exploring How Pedestrians and Cyclists Perceive Automated E-Scooter Alerts in Shared Spaces

Electric scooters (e-scooters) offer flexible urban mobility but raise safety concerns in shared spaces. This study investigates how e-scooters can better communicate their presence to pedestrians and cyclists in shared active mobility environments. A focus group with e-scooter riders identified notifying others of ar…

CHI '25Automated Driving Interface & Takeover Design +2

Actual Achieved Gain and Optimal Perceived Gain: Modeling Human Take-over Decisions Towards Automated Vehicles' Suggestions

Driver decision quality in take-overs is critical for effective human-Autonomous Driving System (ADS) collaboration. However, current research lacks detailed analysis of its variations. This paper introduces two metrics--Actual Achieved Gain (AAG) and Optimal Perceived Gain (OPG)--to assess decision quality, with OPG…

CHI '25Context-Aware Computing +1

Vision-Based Multimodal Interfaces: A Survey and Taxonomy for Enhanced Context-Aware System Design

The recent surge in artificial intelligence, particularly in multimodal processing technology, has advanced human-computer interaction, by altering how intelligent systems perceive, understand, and respond to contextual information (i.e., context awareness). Despite such advancements, there is a significant gap in com…

UBICOMP '24Human-LLM Collaboration

MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings

Khaokaew等人提出MAPLE，利用大型语言模型嵌入预测用户移动应用使用，提升推荐准确性。

UBICOMP '24Mental Health Apps & Online Support Communities +1

Understanding Physiological Responses of Students Over Different Courses

Student engagement plays a vital role in academic success with high engagement often linked to positive educational outcomes. Traditionally, student engagement is measured through self-reports, which are both labour-intensive and not real-time. An emerging alternative is monitoring physiological signals such as Electr…

UBICOMP '24Head-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS) +3

WorkR: Occupation Inference for Intelligent Task Assistance

Occupation information can be utilized by digital assistants to provide occupation-specific personalized task support, including interruption management, task planning, and recommendations. Prior research in the digital workplace assistant domain requires users to input their occupation information for effective suppo…

CHI '24Food Culture & Food Interaction

GustosonicSense: Towards understanding the design of playful gustosonic eating experiences

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 such pleasure-supporting eating systems is limited. To begin filling this knowledge gap, we designed “GustosonicSense”, a novel gustosonic…

CHI '24Cognitive Impairment & Neurodiversity (Autism, ADHD, Dyslexia)

Reading Between the Lines: Identifying the Linguistic Markers of Anhedonia for the Stratification of Depression

Stratifying depressed individuals may help to improve recovery rates by identifying the subgroups who would benefit from targeted treatments. Detecting depressed individuals with prominent anhedonia (i.e. lack of pleasure) may be one effective approach, given these individuals experience poorer treatment outcomes. Thi…

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https://hci.top/en/institutions/University%20of%20New%20South%20Wales?source=all

At a Glance

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University of New South Wales

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Australia · Oceania

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#234

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2018-2026

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26 researchers · 0 collaborators

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Wearables & Sensing Technology

Context-Aware Computing

Automotive & Autonomous Vehicle Interaction

Micromobility (E-bike, E-scooter) Interaction

Virtual, Augmented & Mixed Reality (XR)

Immersion & Presence Research

Culture, Art & Performance

Digital Art Installations & Interactive Performance

Robotics & Autonomous Systems

Social Robot Interaction