Nanyang Technological University

schoolSchoolbar_chart#205 Global Rank

Total Papers

HCI Rank

#205

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Latest papers from Nanyang Technological University

CHI '26Automated Driving Interface & Takeover Design +2

Adaptive Bounded-Rationality Modeling of Early-Stage Takeover in Shared-Control Driving

Human drivers’ control quality in the first seconds after a handover is critical to shared-driving safety; potentially unsafe steering or pedal inputs therefore require detection and correction by the automated vehicle’s safety-fallback system. Yet performance in this window is vulnerable because cognitive states fluc…

CHI '26Interactive Data Visualization +2

HyperMOOC: Augmenting MOOC Videos with Concept-based Embedded Visualizations

Massive Open Online Courses (MOOCs) have become increasingly popular worldwide. However, learners primarily rely on watching videos, easily losing knowledge context and reducing learning effectiveness. We propose HyperMOOC, a novel approach augmenting MOOC videos with concept-based embedded visualizations to help lear…

CHI '26Agent Personality & Anthropomorphism +2

"It Seems to Understand My Heart": An Empirical Study of Persona-Driven Persuasive AI Agent for Aging-in-Place in Singapore

Persona-based, empathetic approaches can foster sustainable long-term user-agent engagement in aging-in-place contexts. We present PersonaBot, a persona-driven persuasive agent built on a Dual-Persona framework that constructs user personas and generates culturally diverse, gender- and personality-varied agent persona…

CHI '26Uncertainty Visualization +2

BAIT: Visual-illusion-inspired Privacy Preservation for Mobile Data Visualization

With the prevalence of mobile data visualizations, there have been growing concerns about their privacy risks, especially shoulder surfing attacks. Inspired by prior research on visual illusion, we propose BAIT, a novel approach to automatically generate privacy-preserving visualizations by stacking a decoy visualizat…

CHI '26Recommender System UX +1

Hesitation and Tolerance in Recommender Systems

Users' interactions with recommender systems often involve more than simple acceptance or rejection. We highlight two overlooked states: hesitation, when people deliberate without certainty, and tolerance, when this hesitation escalates into unwanted engagement before ending in disinterest. Across two large-scale surv…

CHI '26Haptic Wearables +3

Motor-Mediated Creativity: Bridging Embodied Skill Training and Digital Expression

Expressive digital drawing requires nuanced motor control, subtle variations in pressure, velocity, and rhythm that convey affect and style. While experts develop this embodied fluency through years of practice, novices struggle to produce marks that match their intentions, creating a gap between vision and execution.…

CHI '26Deepfake & Synthetic Media Detection +1

Seeing, Hearing, and Knowing Together: Multimodal Strategies in Deepfake Videos Detection

As deepfake videos become increasingly difficult for people to recognise, understanding the strategies humans use is key to designing effective media literacy interventions. We conducted a study with 195 participants between the ages of 21 and 40, who judged real and deepfake videos, rated their confidence, and report…

UIST '25Music Composition & Sound Design Tools +2

Outline and Detail: A Semantic-Driven Framework for Layered 2D Character Generation

2D cartoon-style digital characters represent an important art form in games, animation, and virtual live streaming. However, traditional 2D character creation workflows involve tedious manual layering, complex skeleton rigging, and professional animation skills, posing challenges for independent studios and non-profe…

IUI '25Explainable AI (XAI)

Conversational Explanations: Discussing Explainable AI with Non-AI Experts

Explainable AI (XAI) aims to provide insights into the decisions made by AI models. To date, most XAI approaches provide only one-time, static explanations, which cannot cater to users' diverse knowledge levels and information needs. Conversational explanations have been proposed as an effective method to customize X…

CHI '25Human-LLM Collaboration

AppAgent: Multimodal Agents as Smartphone Users

Recent advancements in large language models (LLMs) have led to the creation of intelligent agents capable of performing complex tasks. This paper introduces a novel LLM-based multimodal agent framework designed to operate smartphone applications. Our framework allows the agent to mimic human-like interactions such as…

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https://hci.top/en/institutions/Nanyang%20Technological%20University?source=all

At a Glance

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Nanyang Technological University

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Location

Singapore · Asia

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Overall Rank

#205

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Total Papers

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Active Years

2018-2026

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41 researchers · 0 collaborators

Research Profile

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Data Visualization & Information Design

Interactive Data Visualization

AI & Machine Learning Interaction

Recommender System UX

Research Methods & Design Practice

Prototyping & User Testing

Creative Tools & Content Creation

Video Production & Editing

Voice Interaction & Conversational Systems

Agent Personality & Anthropomorphism