Takayuki Kanda

schoolKyoto Universitybar_chart#939 Global Rank

Total Papers

HCI Rank

#939

Research Areas

Years Active

Recent Publications

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 '24CorrespondingSocial 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 '24CorrespondingHome 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 '24CorrespondingAgent 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 '24CorrespondingHuman-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 '24CorrespondingSocial 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…

HRI '20CorrespondingSocial Robot Interaction

Would You Mind Me if I Pass by You? Socially-Appropriate Behaviour for an Omni-based Social Robot in Narrow Environment

Interacting physically with robots and sharing environment with them leads to situations where humans and robots have to cross each other in narrow corridors. In these cases, the robot has to make space for the human to pass. From observation of human-human crossing behaviours, we isolated two main factors in this av…

HRI '20CorrespondingSocial Robot Interaction +1

Can a Robot handle Customers with Unreasonable Complaints?

The service industry is facing an increase in the number of malicious customers (customers with unreasonable complaints). Employees have reported that handling unreasonable complaints is particularly stressful. Considering the recent push for workplace automation, we should have robots handling this task in place of h…

HRI '202nd AuthorSocial Robot Interaction

An Escalating Model of Children’s Robot Abuse

We reveal the process of children engaging in such serious abuse as kicking and punching robots. In study 1, we established a process model of robot abuse and used a qualitative analysis method specialized for time-series data: the Trajectory Equifinality Model (TEM). With the TEM method, we analyzed interactions from…

HRI '20CorrespondingSocial Robot Interaction +1

Autonomously Learning One-To-Many Social Interaction Logic from Human-Human Interaction Data

We envision a future where service robots autonomously learn how to interact with humans directly from human-human interaction data, without any manual intervention. In this paper, we present a data-driven pipeline that: (1) takes in low-level data of a human shopkeeper interacting with multiple customers (28 hours o…

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