Robots with projectors

Park, Jongkyeong; Kim, Gerard Jounghyun

doi:10.1145/1514095.1514146

Cited by 27 publications

(2 citation statements)

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“…Although this paradigm has not been as successful as expected due to many robots not being optimised for human factors for a variety of situations and the technology for robots to recognise human interaction and intention is limited. Specifically, when these anthropomorphic interfaces let down users with their less than 'human-like' responses causing disappointment and confusion (Park and Kim, 2009). Anthropomorphic interaction can be interpreted as a Human-Human Collaboration Model with three components.…”

Section: Industrial Collaborative and Social Robotsmentioning

confidence: 99%

“…There are a few aesthetic morphologies that as stated previously can be inspired physically, interactively, and in the method of interaction. Anthropomorphism, where the robot is inspired by humans was coined by Hanson (2006), Park, et al (2009), Green, et al (2008), Wodehouse, et al (2018, as well as others in this paper. Zoomorphism, where the robot is inspired by a fauna.…”

Section: Robot Aesthetic Morphologies and Dimensionsmentioning

confidence: 99%

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The aesthetics of robot design: towards a classification of morphologies

Mobed,

Wodehouse,

Maier

2024

Proc. Des. Soc.

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Robots are becoming increasingly prevalent in the workplace. As Industry 5.0 pursues human-centric technologies, a greater understanding of what effects aesthetics has on those interacting with robots is needed. This paper sets out robot morphology as a way to characterise key form types, and proposes seven classifications: anthropomorphism, zoomorphism, phytomorphism, artemorphism, functiomorphism, amorphism, and neomorphism. Through an assessment of the current robot aesthetic landscape, design dimensions are identified with examples that can inform future robot design.

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Section: Industrial Collaborative and Social Robotsmentioning

confidence: 99%

Section: Robot Aesthetic Morphologies and Dimensionsmentioning

confidence: 99%