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Hiroshi Ishiguro

44 accepted papers

2026

Dialogue Robots That Promote Relationship Building Among People Based on Common Preferences and Interests: A Field Trial

RA-L 2026

This study develops dialogue robots that encourage users to talk with the other directly to promote relationship building among them. It is said that friendly relationships with others have a positive impact on mental health and that face-to-face communication is important for building friendly rela

Cited by 0SourceScholar
2026

Following to Talk: Effects of Mobile Robot Guidance on Dialogue Motivation in a Field Trial

RA-L 2026

Since robots are often disregarded in public interactions, many studies have examined how nonverbal cues and dialogue strategies encourage users to initiate engagement. However, the impact of robot “movement” remains insufficiently investigated. This study examined the psychological effects of movem

Cited by 0SourceScholar
2026

Following to Talk: Effects of Mobile Robot Guidance on Dialogue Motivation in a Field Trial

ICRA 2026poster

Since robots are often disregarded in public interactions, many studies have examined how nonverbal cues and dialogue strategies encourage users to initiate engagement. However, the impact of robot “movement” remains insufficiently investigated. This study examined the psychological effects of movem…

Cited by 0SourceScholar
2026

Gameplay with a Socially Supportive Virtual Robot Enhances Children's Global Self-Esteem, Peer Relationships, Interest and Engagement

ICRA 2026poster

Self-esteem plays a crucial role in children’s psychological well-being and social development. However, traditional interventions cannot provide consistent and engaging support. Recently, game-based learning has shown promise in fostering self-reliance and social confidence. Notably, socially suppo…

Cited by 0SourceScholar
2025

Developing a Vision and Contact Sensor-Based Android-to-Human Touch System That Enables Face and Arm Touch

RA-L 2025

Mainstream use of AI has enabled human-like conversations with machines. Despite the perceived naturalness of these interactions, they are limited to 2D screens. Androids offer us an opportunity to explore the third dimension, touch, with a human-centered approach. In this work we developed and eval

Cited by 1SourceScholar
2025

From Attraction to Engagement: A Robot-Clerk Collaboration Strategy for Retail Success

RA-L 2025

Service robots have demonstrated significant potential in retail environments, with research efforts increasingly focused on designing effective robot-customer interactions. However, the collaboration between service robots and human clerks is crucial for optimizing customer engagement in real-world

Cited by 3SourceScholar
2025

Gameplay With a Socially Supportive Virtual Robot Enhances Children's Global Self-Esteem, Peer Relationships, Interest and Engagement

RA-L 2025

Self-esteem plays a crucial role in children's psychological well-being and social development. However, traditional interventions cannot provide consistent and engaging support. Recently, game-based learning has shown promise in fostering self-reliance and social confidence. Notably, socially suppo

Cited by 1SourceScholar
2025

Improving Social Robot Recommendation Acceptance Through Geo-Gender Affinity Construction

RA-L 2025

As artificial intelligence and robotics advance, social robots are increasingly integrated into service domains, necessitating strategies to enhance user acceptance of their recommendations. Prior work has explored how gendered appearance influences user acceptance, yet the role of linguistic featur

Cited by 0SourceScholar
2024

Field Experiments on the Effects of Multiple-Robot Expressions for Robot Influence in Recommendation Situations

RA-L 2024

Teleoperated social robots are becoming increasingly prevalent in society. To address the issue of their lack of influence, researchers have explored the use of multiple robots. Previous studies comprehensively investigated interactions with multiple robots, conducted web surveys, and revealed attri

Cited by 2SourceScholar
2024

Is It Possible to Recognize a Speaker Without Listening? Unraveling Conversation Dynamics in Multi-Party Interactions Using Continuous Eye Gaze

RA-L 2024

This study investigates the feasibility of understanding conversation dynamics in multi-party interactions without relying on auditory cues, focusing on continuous eye gaze as a key non-verbal communication modality. Without converting gaze into binary features, the study aims to explore the richnes

Cited by 2SourceScholar
2024

Leveraging the Presence of Other Robots to Promote Acceptability of Robot Persuasion: A Field Experiment

RA-L 2024

With the widespread use of conversational robots, the study of their social influences, such as conformity, has become a pressing issue. Prior research involving robots has limited its focus to examining the conformity of robots that are in direct human presence. In this study, we investigated the i

Cited by 2SourceScholar
2024

Modulating Perceived Authority and Warmth of Mobile Social Robots Through Bodily Openness and Vertical Movement in Gait

RA-L 2024

Social robots are increasingly utilized across domains like education, healthcare, and elderly care. Research has examined how the robot's postures impact social perceptions, but few studies have investigated the effects of robots' bodily movements with dynamics gait variations on attributed authori

Cited by 4SourceScholar
2024

Retargeting Human Facial Expression to Human-like Robotic Face through Neural Network Surrogate-based Optimization

IROS 2024poster

Facial mimicry is crucial for human-like robots in human-robot interaction. The challenge is that the high diversity of facial expressions proposes difficulties in programming a robotic face to mimic human facial expressions using traditional methods. In this paper, we present a data-driven method t…

Cited by 2SourceScholar
2024

Simultaneous Dialogue Services Using Multiple Semiautonomous Robots in Multiple Locations by a Single Operator: A Field Trial on Souvenir Recommendation

RA-L 2024

Recently, teleoperation systems have been developed enabling a single operator to engage with users across multiple locations simultaneously. However, under such systems, a potential challenge exists where the operator, upon switching locations, may need to join ongoing conversations without a compl

Cited by 2SourceScholar
2024

Where and When Should the Teleoperated Avatar Look: Gaze Instruction Dataset for Enhanced Teleoperated Avatar Communication*

IROS 2024poster

Effective teleoperated avatar communication requires expressing social behaviors. Gaze behavior is one of the crucial social behaviors and includes reflexive reactions to the avatar’s surroundings and intentional responses to the operator’s speech and actions. Teleoperated avatars must have their ga…

Cited by 0SourceScholar
2024

Wingman-Leader Recommendation: An Empirical Study on Product Recommendation Strategy Using Two Robots

RA-L 2024

In recent years, the potential applications of social robots in retail environments have been explored. Previous studies have mainly focused on the performance of a single robot and have rarely considered the use of multiple robots to recommend products. Although a previous study did investigate the

Cited by 4SourceScholar
2023

HAG: Hierarchical Attention with Graph Network for Dialogue Act Classification in Conversation

ICASSP 2023accepted

The prediction of dialogue acts (DA) labels on utterance-level in conversations can be treated as a sequence labeling problem, which requires context- and speaker-aware semantic comprehension, especially for Japanese. In this study, we pro-posed a hierarchical attention with the graph neural network…

Cited by 0SourceScholar
2023

Outperformance of Mall-Receptionist Android as Inverse Reinforcement Learning is Transitioned to Reinforcement Learning

RA-L 2023

Robots can tackle human–robot interaction (HRI) tasks through inverse reinforcement learning (IRL). However, offline IRL agents' performance is upper-bounded by experts. Limited demonstration fails to provide an overall picture of the environment, especially in real-world applications. To further en

Cited by 11SourceScholar
2023

Recognizing Real-World Intentions using A Multimodal Deep Learning Approach with Spatial-Temporal Graph Convolutional Networks

IROS 2023poster

Identifying intentions is a critical task for comprehending the actions of others, anticipating their future behavior, and making informed decisions. However, it is challenging to recognize intentions due to the uncertainty of future human activities and the complex influence factors. In this work,…

Cited by 0SourceScholar
2022

Android as a Receptionist in a Shopping Mall Using Inverse Reinforcement Learning

RA-L 2022

For human-robot interaction (HRI), it is difficult to hand-craft all the rules for robots owing to diverse situations. Therefore, inverse reinforcement learning (IRL) is a potential solution that helps transfer human knowledge about interactions to robots. However, the feasibility of practically usi

Cited by 4SourceScholar
2022

Controlling the Impression of Robots via GAN-based Gesture Generation

IROS 2022poster

As a type of body language, gestures can largely affect the impressions of human-like robots perceived by users. Recent data-driven approaches to the generation of co-speech gestures have successfully promoted the naturalness of produced gestures. These approaches also possess greater generalizabili…

Cited by 3SourceScholar
2022

Effect of Robot Embodiment on Satisfaction With Recommendations in Shopping Malls

RA-L 2022

Recent developments in conversational technologies have attracted researchers to study their applications in recommending items through conversations. It is considered that physical robots, rather than virtual ones, are effective in situations in which robots talk about items near participants. Howe

Cited by 12SourceScholar
2022

Playful Recommendation: Sales Promotion That Robots Stimulate Pleasant Feelings Instead of Product Explanation

RA-L 2022

Successful cases of robot sales promotions have been increasing. Users tend to make purchases when robots properly interact with users. Most robot interactions/recommendations are created using specific products and locations within the context. Therefore, developers have to prepare a new recommenda

Cited by 20SourceScholar
2022

Service Robots in a Bakery Shop: A Field Study

IROS 2022poster

In this paper, we report on a field study in which we employed two service robots in a bakery store as a sales promotion. Previous studies have explored public applications of service robots public such as shopping malls. However, more evidence is needed that service robots can contribute to sales i…

Cited by 22SourceScholar
2021

A Robot That Encourages Self-Disclosure to Reduce Anger Mood

RA-L 2021

One essential role of social robots is supporting human mental health by interaction with people. In this study, we focused on making people's moods more positive through conversations about their problems as our first step to achieving a robot that cares about mental health. We employed the column

Cited by 34SourceScholar
2021

Advocating Attitudinal Change Through Android Robot's Intention-Based Expressive Behaviors: Toward WHO COVID-19 Guidelines Adherence

RA-L 2021

Motivated by the fact that some human emotional expressions promote affiliating functions such as signaling, social change, and support, all of which have been established as providing social benefits, we investigated how these behaviors can be extended to Human-Robot Interaction (HRI) scenarios. We

Cited by 7SourceScholar
2021

MAEC: Multi-Instance Learning with an Adversarial Auto-Encoder-Based Classifier for Speech Emotion Recognition

ICASSP 2021accepted

In this paper, we propose an adversarial auto-encoder-based classifier, which can regularize the distribution of latent representation to smooth the boundaries among categories. Moreover, we adopt multi-instance learning by dividing speech into a bag of segments to capture the most salient moments f…

Cited by 0SourceScholar
2021

Modeling the Timing and Duration of Grip Behavior to Express Emotions for a Social Robot

RA-L 2021

This letter addresses the effects of grip timing to express a robot's emotions to people while they are watching a video stimulus together. Past studies on human-robot touch interaction focused on the types of touch behaviors for expressing a robot's emotion, but timing factors have received less at

Cited by 11SourceScholar
2021

Persuasion Strategies for Social Robot to Keep Humans Accepting Daily Different Recommendations

IROS 2021poster

Social robots are used in daily life. One of the applications of social robots is as recommendation systems. Previous research has mainly investigated how persuasive recommendations can be improved by focusing on the non-verbal/verbal behavior of robots. However, to use robots as recommendation syst…

Cited by 10SourceScholar
2021

Using an Android Robot to Improve Social Connectedness by Sharing Recent Experiences of Group Members in Human-Robot Conversations

RA-L 2021

Social connectedness is vital for developing group cohesion and strengthening belongingness. However, with the accelerating pace of modern life, people have fewer opportunities to participate in group-building activities. Furthermore, owing to the teleworking and quarantine requirements necessitated

Cited by 20SourceScholar
2020

Person-Directed Pointing Gestures and Inter-Personal Relationship: Expression of Politeness to Friendliness by Android Robots

RA-L 2020

Pointing at a person is usually deemed to be impolite. However, several different forms of person-directed pointing gestures commonly appear in casual dialogue interactions. In this study, we first analyzed pointing gestures in human-human dialogue interactions and observed different trends in the u

Cited by 6SourceScholar
2019

Decoding the Perceived Difficulty of Communicated Contents by Older People: Toward Conversational Robot-Assistive Elderly Care

RA-L 2019

In this study, we propose a semi-supervised learning model for decoding of the perceived difficulty of communicated content by older people. Our model is based on mapping of the older people's prefrontal cortex (PFC) activity during their verbal communication onto fine-grained cluster spaces of a wo

Cited by 4SourceScholar
2019

Older People Prefrontal Cortex Activation Estimates Their Perceived Difficulty of a Humanoid-Mediated Conversation

RA-L 2019

In this letter, we extend our recent results on prediction of the older people's perceived difficulty of verbal communication during a humanoid-mediated storytelling experiment to the case of a longitudinal conversation that was conducted over a four-week period and included a battery of conversatio

Cited by 4SourceScholar
2018

A Speech-Driven Hand Gesture Generation Method and Evaluation in Android Robots

RA-L 2018

Hand gestures commonly occur in daily dialogue interactions, and have important functions in communication. We first analyzed a multimodal human-human dialogue data and found relations between the occurrence of hand gestures and dialogue act categories. We also conducted a clustering analysis on ges

Cited by 56SourceScholar
2018

Excuse Me, May I Say Something? A Robot Facilitating Q&A for Lectures

IROS 2018poster

Hiroshi Ishiguro gave a lecture to a group of young students. We employed CommU, the desktop social robot, to manage the questions and answers for the talk. We encouraged the students to ask questions anytime. Half of the classroom was told to ask questions by raising their hand while the other half…

Cited by 0SourceScholar
2018

How Should a Robot React Before People's Touch?: Modeling a Pre-Touch Reaction Distance for a Robot's Face

RA-L 2018

This study addresses the pre touch reaction distance effects in human-robot touch interaction with an android named ERICA that has a feminine, human-like appearance. Past studies on human-robot interaction, which enabled social robots to react to being touched by developing several sensing systems a

Cited by 23SourceScholar
2018

Similarity of the Impact of Humanoid and In-Person Communications on Frontal Brain Activity of Older People

IROS 2018poster

We report results of the analyses of the effect of communication through a humanoid robot in comparison with in-person, video-chat, and speaker on frontal brain activity of older people during an storytelling experiment. Our results suggest that whereas communicating through a physically embodied me…

Cited by 6SourceScholar
2017

Motion Analysis in Vocalized Surprise Expressions and Motion Generation in Android Robots

RA-L 2017

Surprise expressions often occur in dialogue interactions, and they are often accompanied by verbal interjectional utterances. We are dealing with the challenge of generating natural human-like motions during speech in android robots that have a highly human-like appearance. In this study, we focus

Cited by 21SourceScholar
2017

Show, attend and interact: Perceivable human-robot social interaction through neural attention Q-network

ICRA 2017poster

For a safe, natural and effective human-robot social interaction, it is essential to develop a system that allows a robot to demonstrate the perceivable responsive behaviors to complex human behaviors. We introduce the Multimodal Deep Attention Recurrent Q-Network using which the robot exhibits huma…

Cited by 45SourceScholar
2016

Adaptive locomotion by two types of legged robots with an actuator network system

IROS 2016poster

Locomotion on the rough and variable ground surfaces is crucial for robots to complete various tasks. Recent advancement in numerical computation allow such locomotive robots to manipulate in real environments using a model-based control framework. This approach is successful if the precise model it…

Cited by 2SourceScholar
2016

Motion generation in android robots during laughing speech

IROS 2016poster

We are dealing with the problem of generating natural human-like motions during speech in android robots, which have human-like appearances. So far, automatic generation methods have been proposed for lip and head motions of tele-presence robots, based on the speech signal of the tele-operator. In t…

Cited by 14SourceScholar
2015

Development of a pneumatic-electromagnetic hybrid linear actuator with an integrated structure

IROS 2015poster

Conventional hybrid actuators can achieve a better force/torque bandwidth than a single principle actuator without losing back-drivability. However, hybrid actuators occupy space at least equal to the sum of the volumes of two or more actuators and multiple transmissions consisting of timing belts,…

Cited by 9SourceScholar