33 citations · 100 across the 19 of their papers we have counts for
7 papers · 1 filter
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…