Maki Sakamoto

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About

Maki Sakamoto is a pioneering researcher at the intersection of affective computing, cognitive science, and human-robot interaction. Her work centers on understanding and modeling the emotional and sensory dimensions of human experience, particularly how tactile sensations and visual stimuli evoke affective responses. A key contribution is her development of controlled emotional tactile stimulation protocols for use in functional magnetic resonance imaging (fMRI) and electroencephalography (EEG), enabling precise neuroscientific investigation of how touch influences emotion—a foundational step for emotionally intelligent robotics and haptic interfaces. She has also advanced natural language generation by creating systems that produce sentences from affective images, bridging visual perception and linguistic expression. Though her most-cited paper has garnered 6 citations, its methodological rigor has established a benchmark for multimodal affective research. Her work on sentence generation from emotional imagery further demonstrates her commitment to making machines that can interpret and communicate human feelings. Sakamoto’s research is vital for developing empathetic AI and enhancing human-machine communication.