Robots for the people, by the people: Personalizing human-machine interaction

Caitlyn Clabaugh · Maja J. Matarić

65 citations0/0 files storedScience Robotics

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Social Robot Interaction and HRI Robot Manipulation and Learning Speech and dialogue systems

Abstract

Multimodal, interactive, and multitask machine learning can be applied to personalize human-robot and human-machine interactions for the broad diversity of individuals and their unique needs.

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References

2017To Err Is Robot: How Humans Assess and Act toward an Erroneous Social Robot 2017Measuring Engagement in Robot-Assisted Autism Therapy: A Cross-Cultural Study 2017Socially assistive robotics: Human augmentation versus automation

Cited by

2020Coordinating attention requires coordinated senses 2023Working with Robots as Colleagues: Kenyan Perspectives of Ethical Concerns on Possible Integration of Co-bots in Workplaces 2025An automotive human–machine interface design method integrating Fuzzy Kano-QFD and physiological data

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