Kyoto University

schoolSchoolbar_chart#319 Global Rank

Total Papers

HCI Rank

#319

Research Areas

Years Active

Recent Publications

Peeking Ahead of the Field Study: Exploring VLM Personas as Support Tools for Embodied Studies in HCI

Field studies are irreplaceable but costly, time-consuming, and error-prone, which need careful preparation. Inspired by rapid-prototyping in manufacturing, we propose a fast, low-cost evaluation method using Vision-Language Model (VLM) personas to simulate outcomes comparable to field results. While LLMs show human-l…

CHI '26Intelligent Voice Assistants (Alexa, Siri, etc.) +2

Exploring the Effects of Different Chatbot Voice Identities on Self-Disclosure

Self-disclosure is central to mental health, and chatbots are increasingly used to elicit it by lowering the risk of social judgment. With the rapid growth of voice-based chatbots, it is crucial to understand how their voice identity shapes self-disclosure, yet this relationship remains underexplored. We address this…

CSCW '25Voice Technology

AI-Based Speaking Assistant: Supporting Non-Native Speakers’ Speaking in Real-Time Multilingual Communication

Non-native speakers (NNSs) often face speaking challenges in real-time multilingual communication, such as struggling to articulate their thoughts. To address this issue, we developed an AI-based speaking assistant (AISA) that provides speaking references for NNSs based on their input queries, task background, and con…

AUTO_UI '24External HMI (eHMI) — Communication with Pedestrians & Cyclists

Shrinkable Arm-based eHMI on Autonomous Delivery Vehicle for Effective Communication with Other Road Users

When employing autonomous driving technology in logistics, small autonomous delivery vehicles (aka delivery robots) encounter challenges different from passenger vehicles when interacting with other road users. We conducted an online video survey as a pre-study and found that autonomous delivery vehicles need external…

HRI '24Human-Robot Collaboration (HRC)

What is your other hand doing, robot? A model of behavior for shopkeeper robot's idle hand

In retail settings, a robot's one-handed manipulation of objects can come across as thoughtless and impolite, thus creating a negative customer experience. To solve this problem, we first observed how human shopkeepers interact with customers, specifically focusing on their hand movements during object manipulation. F…

HRI '24Social Robot Interaction +1

I Need to Pass Through! Understandable Robot Behavior for Passing Interaction in Narrow Environment

We developed a motion control algorithm for a social mobile robot to intuitively convey its intent to pass through aisles and avoid misunderstanding in passing interactions with people, which frequently occur when a robot navigates in narrow shared environments. Inspired by observations of human behavior, the propos…

HRI '24Home Energy Management +1

Field Trial of an Autonomous Shopworker Robot that Aims to Provide Friendly Encouragement and Exert Social Pressure

We developed an autonomous hatshop robot for encouraging customers to try on hats by providing comments that appropriately fit their actions, and in such a way also indirectly exerting social pressure. To enable it to offer such a service smoothly in a real shop, we developed a large system (around 150k lines of code…

HRI '24Agent Personality & Anthropomorphism +2

Investigating the Impact of Gender Stereotypes in Authority on Avatar Robots

We investigate how gender stereotypes in authority influence the perceptions and behavior of avatar robots operators and their interlocutors. Gender stereotypes, which typically place men in more authoritative positions than women, are present in not only inter-human but also human-robot interaction. As avatar robots…

HRI '24Human-Robot Collaboration (HRC) +1

Zero-Shot Learning to Enable Error Awareness in Data-Driven HRI

Data-driven social imitation learning is a minimally-supervised approach to generate robot behaviors for human-robot interaction (HRI). However, this type of learning-based approach is error-prone. Existing error detection methods for HRI rely on data labeling, rendering them inappropriate for the data-driven paradig…

HRI '24Social Robot Interaction +1

Can’t You See I Am Bothered? Human-inspired Suggestive Avoidance

We studied how robots could stop people from repeatedly obstructing them by using reactions that people commonly use. From 35 hours of observation of people in a shopping mall, we identified one commonly used reaction, which we call suggestive avoidance. During suggestive avoidance, people avoid a person obstructing t…

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

At a Glance

Institution Snapshot

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Display Name

Kyoto University

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Location

Japan · Asia

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Overall Rank

#319

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Total Papers

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Active Years

2018-2026

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20 researchers · 0 collaborators

Research Profile

Top Research Directions

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Robotics & Autonomous Systems

Social Robot Interaction

Voice Interaction & Conversational Systems

Agent Personality & Anthropomorphism

Research Methods & Design Practice

User Research Methods (Interviews, Surveys, Observation)

Automotive & Autonomous Vehicle Interaction

External HMI (eHMI) — Communication with Pedestrians & Cyclists

Ethics, Fairness, Social Justice & Inclusion

Gender & Race Issues in HCI