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20182023
most citedAI-Assisted Design Concept Exploration Through Character Space Construction

11 citations · 14 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.HC2023

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.HC20221 cited

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…

cs.HC202211 cited

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…

cs.HC2022

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…

cs.HC20211 cited

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…