HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation

Yang, Pin-Chu; Al-Sada, Mohammed; Chiu, Chang-Chieh; Kuo, Kevin; Tomo, Tito Pradhono; Suzuki, Kanata; Yalta, Nelson; Shu, Kuo-Hao; Ogata, Tetsuya

doi:10.1109/ro-man47096.2020.9223558

Cited by 5 publications

(1 citation statement)

References 22 publications

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“…Human-computer interaction researchers have already noticed this issue and taken the initiative in creating their own models, starting with identifying personality dimensions for speech-based conversational agents ( Völkel et al, 2020 ). With all the above said, the five-factor model should apply to a special type of robots, androids, since they are engineered to be as human-like as possible—as well as animation-style (“cartoonish”) androids ( Yang et al, 2020 ), which we call “anidroids,” and virtual humans ( Ruhland et al, 2015 ).…”

Section: Towards a Robot Personality Paradigmmentioning

confidence: 99%

Towards a Personality AI for Robots: Potential Colony Capacity of a Goal-Shaped Generative Personality Model When Used for Expressing Personalities via Non-Verbal Behaviour of Humanoid Robots

et al. 2022

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Engineering robot personalities is a challenge of multiple folds. Every robot that interacts with humans is an individual physical presence that may require their own personality. Thus, robot personalities engineers face a problem that is the reverse of that of personality psychologists: robot personalities engineers need to make batches of identical robots into individual personalities, as oppose to formulating comprehensive yet parsimonious descriptions of individual personalities that already exist. The robot personality research so far has been fruitful in demonstrating the positive effects of robot personality but unfruitful in insights into how robot personalities can be engineered in significant quantities. To engineer robot personalities for mass-produced robots we need a generative personality model with a structure to encode a robot’s individual characteristics as personality traits and generate behaviour with inter- and intra-individual differences that reflect those characteristics. We propose a generative personality model shaped by goals as part of a personality AI for robots towards which we have been working, and we conducted tests to investigate how many individual personalities the model can practically support when it is used for expressing personalities via non-verbal behaviour on the heads of humanoid robots.

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Section: Towards a Robot Personality Paradigmmentioning

confidence: 99%