Glossary

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Semantic Hearing(also: Programmable Hearing, Intent-Aware Hearing)

A research paradigm and class of systems that treat the user's auditory environment as something programmable: rather than uniformly amplifying or suppressing all sound, the wearable headphone or earbud uses on-device machine learning to selectively extract or attenuate specific…

Smart Environment(also: Intelligent Environment, Smart Space)

A physical space equipped with sensors, computing devices, and networked systems that can monitor conditions, infer context, and respond to the activities and needs of occupants. Smart environments aim to improve quality of life by automating tasks and providing contextual…

Socially Assistive Robotics(also: SAR)

Socially assistive robotics is a field of robotics focused on designing robots that assist people through social interaction rather than physical manipulation. SAR robots engage users through conversation, gesture, facial expression, and behaviour to support therapy,…

Spatial Computing(also: Spatial interaction)

A paradigm of computing in which digital content is rendered and interacted with in three-dimensional physical space, typically via head-worn augmented or mixed reality devices (e.g., HoloLens, Magic Leap, Apple Vision Pro, Snap Spectacles) that track head pose, hands, eyes, and…

Spatial Presence(also: Sense of Presence)

Spatial presence is the subjective experience of feeling physically located within a virtual or mediated environment — the sensation of "being there" rather than merely observing content on a screen. It is a key measure of immersive technology effectiveness, assessed through…

Spatio-Temporal Modulation(also: STM)

A rendering technique used in mid-air ultrasound haptics in which a single focal point is moved rapidly along a closed trajectory (commonly circular) while its intensity is modulated over time. When the trajectory is swept fast enough (typically tens to hundreds of Hz), the skin…

Speech Language Model(also: SLM, Audio Language Model, Speech Foundation Model)

A class of large neural models that processes both speech and text in a single end-to-end framework, integrating tasks — automatic speech recognition, spoken language understanding, dialogue, speech generation — that traditionally required separate modular systems. Examples…

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