activity
20182023
most citedInfluence of agent's self-disclosure on human empathy

33 citations · 100 across the 19 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.HC2023★ 12 cited

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,…

cs.HC2023

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…

cs.RO2023

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…

cs.AI2023★ 1 cited

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…

cs.HC2023★ 4 cited

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…