Sonification for Enhanced Situational Awareness in Spatial Computing
About the Project
Please note, there is no funding attached to this project. All tuition fees and any other associated costs (including bench fees) must be financed by the student. Please consider this before submitting your application.
The College of Business, Technology and Engineering draws on talents, expertise and facilities across Sheffield Hallam University. The vision is to be the leading provider of applied research excellence delivering computing, science and engineering innovations meeting the development needs of industry.
PhD Research Topic
The aim of this PhD project is to bring together psychology, spatial computing and human computer interaction to explore the nature of sonification and its potential to enhance situational awareness. In complex, data-rich environments, visual systems are often overloaded.
Modern high-stakes environments suffer from severe visual cognitive overload. Current Human-Computer Interaction (HCI) heavily relies on screens, dashboards, and visual alerts. When data streams become dense or chaotic, a user's visual channel reaches capacity. This bottleneck leads to missed critical cues, delayed responses, and a catastrophic breakdown in situational awareness (SA). Although sound is sometimes used to alleviate this, current applications are limited to basic, disruptive alarms (monophonic alerts) that cause alarm fatigue rather than providing continuous, meaningful context. There is a critical lack of multi-disciplinary frameworks to design, test, and standardise continuous, spatialised auditory environments that safely offload information from the eyes to the ears.
This PhD project explores sonification (the use of non-speech audio to convey data) as a powerful tool to enhance situational awareness. You will investigate how translating environmental data into intuitive soundscapes can improve a user’s ability to perceive, understand, and predict events. The goal is to move beyond simple alerts, creating sophisticated auditory environments that allow users to operate more effectively in high-stakes or data-heavy scenarios.
Objectives:
- Design bespoke sonification systems that translate complex, non-audio data streams into spatialised sound to augment user perception.
- Develop theoretical frameworks to explain the cognitive mechanisms that make sonification effective for situational awareness.
- Evaluate the causal links between auditory data delivery, situational awareness, and measurable operational effectiveness.
Areas of theoretical exploration
- Cross-Modal Sensory Offloading: Shifting data processing from the saturated visual cortex to the underutilised auditory cortex to free up cognitive bandwidth.
- Pre-attentive Auditory Processing: Utilising background acoustic changes (pitch, timbre, tempo) so users can detect environmental anomalies subconsciously without active focus.
- Binaural Spatial Audition: Exploiting natural human interaural time and intensity differences to instantly communicate where a data event is happening in 360-degree space.
- Acoustic Ecology Mapping: Designing soundscapes based on natural human associations (e.g., rising pitch indicates rising pressure) to reduce the training time required to understand the data.
- Perceptual Stream Segregation: Layering multiple data streams into distinct acoustic frequencies so the human brain can track separate variables simultaneously without confusion.
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