Toyota Research Institute

account_balanceOtherbar_chart#195 Global Rank

Total Papers

HCI Rank

#195

Research Areas

Years Active

Recent Publications

Latest papers from Toyota Research Institute

CHI '26Automated Driving Interface & Takeover Design +2

A Framework for Adapting In-Car Touchscreen Interfaces to Driver Behaviors, Perception, and Cognition

Although in-car touchscreens expand interaction possibilities, they risk compromising driver safety and vigilance. We propose a data- and expert-informed framework for designing adaptive touchscreens that respond to a driver’s usage profile and cognitive state, maximizing usability while mitigating safety risks. First…

UIST '25Head-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS) +1

Touchscreens in Motion: Quantifying the Impact of Cognitive Load on Distracted Drivers

This study investigates the interplay between a driver's cognitive load, touchscreen interactions, and driving performance. Using an N-back task to induce four levels of cognitive load, we measured physiological responses (pupil diameter, electrodermal activity), subjective workload (NASA-TLX), touchscreen performance…

UIST '25Shape-Changing Interfaces & Soft Robotic Materials +1

Buoyancé: Reeling Helium-Inflated Balloons with Mobile Robots on the Ground for Mid-Air Tangible Display, Interaction, and Assembly

We introduce a novel approach to spatially actuated tangible UI by controlling helium-inflated balloons (HIBs) in mid-air using mobile reeling robots, named ReelBots. With a relatively compact device form factor, the robots can manipulate HIBs in an extensive vertical range, reaching relatively high altitudes (20m or…

AUTO_UI '25EV Charging & Eco-Driving Interfaces +1

SOH Illusion: Misunderstandings of EV Battery State of Health and Methods to Promote Understanding

Legislation in the USA will soon require that electric vehicles (EVs) display battery degradation in the instrument cluster as "state of health" (SOH), the percentage of the battery's original capacity. However, the extent to which consumers understand SOH degradation patterns is not known. In an initial study with ve…

AUTO_UI '25Human-LLM Collaboration +1

From Dashboards to Dialogue: Evaluating a Conversational AI Coach for Performance Driving Skill Development

Learning in domains involving complex motor skills, such as performance driving, often requires feedback that is timely, personalized, and actionable. Yet many drivers rely on video and telemetry data to review their performance without guidance. We explore how conversational AI can support post-drive reflection by in…

DIS '25Honorable MentionElderly Care & Dementia Support +2

Research as Care: A reflection on incorporating the ethics of care in design research with people living with dementia

When computing researchers design technologies for vulnerable populations and engage with them over extended periods, researchers may incorporate "care"—deliberate actions to build and maintain relationships with participants—to improve engagement and deepen their understanding of situated perspectives. However, when…

CHI '25Honorable MentionHuman-LLM Collaboration +1

BioSpark: Beyond Analogical Inspiration to LLM-augmented Transfer

We present BioSpark, a system for analogical innovation designed to act as a creativity partner in reducing the cognitive effort in finding, mapping, and creatively adapting diverse inspirations. While prior approaches have focused on initial stages of finding inspirations, BioSpark uses LLMs embedded in a familiar,…

CHI '25EV Charging & Eco-Driving Interfaces +2

Bittersweet Snapshots of Life: Designing to Address Complex Emotions in a Reminiscence Interaction between Older Adults and a Robot

Human-Computer Interaction and Human-Robot Interaction researchers have developed various reminiscence technologies for older adults, but the focus of such work has mostly been on making the technology usable and improving older adults' memory recall. Our study of a robot facilitating reminiscence through conversation…

CHI '25Generative AI (Text, Image, Music, Video) +2

Inkspire: Supporting Design Exploration with Generative AI through Analogical Sketching

With recent advancements in the capabilities of Text-to-Image (T2I) AI models, product designers have begun experimenting with them in their work. However, T2I models struggle to interpret abstract language and the current user experience of T2I tools can induce design fixation rather than a more iterative, explorator…

UIST '24Eye Tracking & Gaze Interaction +2

VIME: Visual Interactive Model Explorer for Identifying Capabilities and Limitations of Machine Learning Models for Sequential Decision-Making

Ensuring that Machine Learning (ML) models make correct and meaningful inferences is necessary for the broader adoption of such models into high-stakes decision-making scenarios. Thus, ML model engineers increasingly use eXplainable AI (XAI) tools to investigate the capabilities and limitations of their ML models befo…

View all 31 papers →

Quick Actions

Share this page

ios_share

X in mail

https://hci.top/en/institutions/Toyota%20Research%20Institute?source=all

At a Glance

Institution Snapshot

analytics

tag

Display Name

Toyota Research Institute

public

Location

United States · North America

leaderboard

Overall Rank

#195

article

Total Papers

calendar_month

Active Years

2018-2026

groups

Network

38 researchers · 0 collaborators

Research Profile

Top Research Directions

query_stats

Automotive & Autonomous Vehicle Interaction

Automated Driving Interface & Takeover Design

AI & Machine Learning Interaction

Human-LLM Collaboration

Health, Healthcare & Wellbeing

Mental Health Apps & Online Support Communities

Virtual, Augmented & Mixed Reality (XR)

Social & Collaborative VR

Haptic, Force & Physical Feedback

Shape-Changing Interfaces & Soft Robotic Materials