Akira Ichiboshi
Papers
1
Total Citations
2
H-Index
1
About
Akira Ichiboshi investigates the nuanced dynamics of human-robot interaction, with a particular focus on how perceptual perspectives shape our understanding of collaborative robotics. Their most-cited work, "Evaluating Human-Robot Interaction from Inside and Outside: Comparison Between the First-Person and the Third-Party Perspectives" (2018), introduces a novel methodological framework that contrasts subjective, embodied experience with objective, observational analysis in HRI studies. This dual-perspective approach offers researchers a more comprehensive tool for assessing robot design and user experience, bridging gaps between how interactions feel to participants and how they appear to external evaluators. While still early in their career, Ichiboshi's contributions lay important groundwork for more empathetic and context-aware robotic systems. Their work is particularly relevant for scholars in cognitive science, social robotics, and human factors engineering, providing a foundation for future studies that prioritize both user-centered design and rigorous empirical evaluation. As the field of HRI continues to grow, Ichiboshi’s perspective-based methodology promises to influence how researchers capture the full complexity of human-robot encounters.
Research Focus
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Top Papers
- 1