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Massachusetts Institute of Technology

Intuitive Audio Interaction and Control in Multi-Source Environments

Abstract

dc:description.abstract

In an increasingly noisy world, managing auditory focus is a persistent challenge. This thesis explores how embodied interactions—primarily head tracking, alongside experiments with gaze tracking, speech commands, and audio-visual segmentation—can enhance user control over complex auditory environments. By linking head orientation to volume adjustments, we investigated whether natural, instinctive movements could serve as intuitive, hands-free mechanisms for isolating and amplifying relevant sounds. User studies revealed that head tracking is effective in structured audio contexts, such as music, where distinct sources are easily separable. However, its utility diminishes in dense, overlapping conversations, highlighting the need for finer control mechanisms. While gaze and segmentation offer promising refinements, cognitive load and system responsiveness remain key challenges. These findings underscore that embodied audio interaction must be adaptive, content-aware, and seamlessly integrated with user intent.This research contributes to human-computer interaction by demonstrating both the potential and limitations of movement-based audio control. Future work should refine multimodal fusion, improve segmentation accuracy, and enhance accessibility to create systems that dynamically respond to users’ natural behaviors—reducing cognitive strain and enabling more fluid, user-centric auditory experiences.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2025

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Oduniyi, Erick O.
Advisor dc:contributor.advisor
  • Lippman, Andrew B.

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/159149
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/159149

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Oduniyi, Erick O.. Intuitive Audio Interaction and Control in Multi-Source Environments. Massachusetts Institute of Technology, 2025. https://hdl.handle.net/1721.1/159149