33 citations · 100 across the 19 of their papers we have counts for
19 papers
Making an agent's trust stable in a series of success and failure tasks through empathy
Takahiro Tsumura, Seiji Yamada
As AI technology develops, trust in AI agents is becoming more important for more AI applications in human society. Possible ways to improve the trust relationship include empathy,…
Composing Mood Board with User Feedback in Concept Space
Shin Sano, Seiji Yamada
We propose the Mood Board Composer (MBC), which supports concept designers in retrieving and composing images on a 2-D concept space to communicate design concepts. The MBC allows…
Modeling Trust and Reliance with Wait Time in a Human-Robot Interaction
Akihiro Maehigashi, Seiji Yamada
This study investigated how wait time influences trust in and reliance on a robot. Experiment 1 was conducted as an online experiment manipulating the wait time for the task partne…
Selectively Providing Reliance Calibration Cues With Reliance Prediction
Yosuke Fukuchi, Seiji Yamada
For effective collaboration between humans and intelligent agents that employ machine learning for decision-making, humans must understand what agents can and cannot do to avoid ov…
Modeling Reliance on XAI Indicating Its Purpose and Attention
Akihiro Maehigashi, Yosuke Fukuchi, Seiji Yamada
This study used XAI, which shows its purposes and attention as explanations of its process, and investigated how these explanations affect human trust in and use of AI. In this stu…
Influence of anthropomorphic agent on human empathy through games
Takahiro Tsumura, Seiji Yamada
The social acceptance of AI agents, including intelligent virtual agents and physical robots, is becoming more important for the integration of AI into human society. Although the…
Agents facilitate one category of human empathy through task difficulty
Takahiro Tsumura, Seiji Yamada
One way to improve the relationship between humans and anthropomorphic agents is to have humans empathize with the agents. In this study, we focused on a task between agents and hu…
Influence of perspective taking through robotic virtual agents on prosocial behavior
Chenlin Hang, Tetsuo Ono, Seiji Yamada
Perspective taking, which allows people to imagine another's thinking and goals, is known to be an effective method for promoting prosocial behaviors in human-computer interactions…
Experimental Investigation of Trust in Anthropomorphic Agents as Task Partners
Akihiro Maehigashi, Takahiro Tsumura, Seiji Yamada
This study investigated whether human trust in a social robot with anthropomorphic physicality is similar to that in an AI agent or in a human in order to clarify how anthropomorph…
AI-Assisted Design Concept Exploration Through Character Space Construction
Shin Sano, Seiji Yamada
We propose an AI-assisted design concept exploration tool, the "Character Space Construction" ("CSC"). Concept designers explore and articulate the target product aesthetics and se…
D-Graph: AI-Assisted Design Concept Exploration Graph
Shin Sano, Seiji Yamada
We present an AI-assisted search tool, the "Design Concept Exploration Graph" ("D-Graph"). It assists automotive designers in creating an original design-concept phrase, that is, a…
Designing nudge agents that promote human altruism
Chenlin Hang, Tetsuo Ono, Seiji Yamada
Previous studies have found that nudging is key to promoting altruism in human-human interaction. However, in social robotics, there is still a lack of study on confirming the effe…
Balancing Performance and Human Autonomy with Implicit Guidance Agent
Ryo Nakahashi, Seiji Yamada
The human-agent team, which is a problem in which humans and autonomous agents collaborate to achieve one task, is typical in human-AI collaboration. For effective collaboration, h…
Influence of agent's self-disclosure on human empathy
Takahiro Tsumura, Seiji Yamada
As AI technologies progress, social acceptance of AI agents, including intelligent virtual agents and robots, is becoming even more important for more applications of AI in human s…
Empirical Investigation of Factors that Influence Human Presence and Agency in Telepresence Robot
Nungduk Yun, Seiji Yamada
Nowadays, a community starts to find the need for human presence in an alternative way, there has been tremendous research and development in advancing telepresence robots. People…
Subgoal-based Reward Shaping to Improve Efficiency in Reinforcement Learning
Takato Okudo, Seiji Yamada
Reinforcement learning, which acquires a policy maximizing long-term rewards, has been actively studied. Unfortunately, this learning type is too slow and difficult to use in pract…
Reward Shaping with Subgoals for Social Navigation
Takato Okudo, Seiji Yamada
Social navigation has been gaining attentions with the growth in machine intelligence. Since reinforcement learning can select an action in the prediction phase at a low computatio…
Reward Shaping with Dynamic Trajectory Aggregation
Takato Okudo, Seiji Yamada
Reinforcement learning, which acquires a policy maximizing long-term rewards, has been actively studied. Unfortunately, this learning type is too slow and difficult to use in pract…
Modeling Human Inference of Others' Intentions in Complex Situations with Plan Predictability Bias
Ryo Nakahashi, Seiji Yamada
A recent approach based on Bayesian inverse planning for the "theory of mind" has shown good performance in modeling human cognition. However, perfect inverse planning differs from…