Stephen Roddy PhD


Portfolio documenting and showcasing some recent projects.

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Embodied Sonification

Project Overview

Sonification is the representation of data with sound and Auditory Display is the use of audio to present information to a listener. In certain contexts and for certain types of data sound can be an effective means of representation and communication. This project involved the development of Sonification and Auditory Display frameworks based on human-centered design principles derived from embodied cognition an area of cognitive science that is critical to our understanding of meaning-making in cognition. The research and development portions of the project were carried out in fulfillment of a PhD degree at the Department of Electronic and Electrical Engineering in Trinity College Dublin under the supervision of Dr. Dermot Furlong. Throughout the project music composition and sound design practices informed by the embodied cognition literature were employed as exploratory research methods. This helped to identify exciting new possibilities for mapping data to sound. These possibilities were then empirically tested to confirm their efficacy for sonification tasks. A number of data-driven musical works were created as a byproduct of the research process.

Coding & Technology

The majority of the project was coded in Csound a programming language for audio written in C. Many of the stimuli used experiments and evaluations were also produced in Csound. Additional sounds and stimuli were produced in Native Instruments Reaktor 5 and production work was carried out int the Logic Pro X DAW. Rapid prototyping platforms were developed in Csound and used to prototype new ideas in an efficient manner. The two prototyping platforms below were developed using fof (fonction d’onde formantique’) synthesis methods and generate simulated vocal gestures.

Data to Sound

The project involved the development of new techniques and frameworks for mapping a range of datatypes to sound in order to represent changes in the original data set. Physical and spatial datatypes like temperature, distance, height, weight, speed, amount, texture, etc. were used in the project.Weather data was also used. As the project progressed the focus fell increasingly on socio-economic data

The first phases of the project dealt with the concept of ‘polarity’. It examined whether listeners interpret increases in a sonic dimension (e.g. pitch, tempo) to increases in the data represented or decreases in the data represented. I investigated how this operated for ‘numerical data’, (i.e. data that is a count of some specific thing like population, chemical concentration, RPM, etc.), and attribute data, (i.e. data that describes some attribute of a thing like size, depth, mass, etc.).

Pure Sine Tone Examples:
Increasing Frequency | Decreasing Frequency | Increasing Tempo | Decreasing Tempo

The second phase explored the kinds of data that can be best represented with simulated vocal gestures. This phase made use of the vocal gesture prototyping platforms.

Effective Vocal Gesture Examples:
Texture | Amount | Speed | Size Spatial Extent | Tension | Anger

The third phase examined how soundscapes can be used to represent data. Initial soundscape elements were synthesised and mapped to data using prototyping platforms in Csound but this approach was abandoned in favour of soundscape recordings that could be manipulated and mapped to data. This section explored how the concepts of conceptual metaphor and blending can be applied to design better soundscape sonifications.

Soundscape Sonification:
Sonification of Irish GDP from 1979 to 2013 | Emigration Low | Emigration High | Poverty Low | Poverty High

The final phase explored how doppler shifting can be used to add a sense of temporal context to a sonification:

Temporospatial Motion Framework:
Original Framework | Refined Framework

Research Methods

The project applied empirical research methods and involved many rounds of evaluation collecting and analysing both quantitative and qualitative data. It involved both user-centric HCI methods (e.g. user evaluations, A/B testing, surveys etc.) and more traditional psychological experiments designed to gauge users judgements of stimuli. Some pilot testing was done in with small in person groups but the majority of the testing was carried out online in order to sample from a large international group of users.


Overall the project found that designing sonifications on the basis of principles from the field of embodied cognition generally leads to more effective solutions. The project resulted in the Embodied Sonification Listening Model, which reconciles embodied cognition principles with the task of “sonification listening”: listening to a sound in order to extract information about the dataset it represents. For a more detailed description of findings see the finished document.

Research Outputs

This project resulted in a number of conference presentations.

It also resulted in a number of journal articles including an article in Organised Sound

Creative Technology and Multimedia Outputs

Data-driven music composition and sound design techniques were used to aid in the design of sonification mapping strategies. These approaches allowed me to find novel and interesting sonic parameters for mapping data. This practice resulted in the production of a number of data-driven sound works in the course of the research project.

These have been gathered into a collection entitled ‘The Human Cost’, named for the socioeconomic data from the 2008 financial crash represented in the pieces and are available ffrom the usual streaming services online:

Spotify Apple Music

A number of these pieces have been performed live at academic conferences and cultural events at national and international levels including:

Embodied Sonification PhD Thesis



This was a multidisciplinary project that resulted in a number of outputs across a broad range of disciplines.

Journal Articles

Conference Papers

Performances and installations


Press & Radio

Creative Skills

HCI Design. Interaction Design. UX Design. Sound Design. Music Composition. Data Sonification. Data Visualisation.

Technical & Research Skills

Programming. Data Analysis. Audio Engineering. Recording. Data Analysis. Data Sonification. Data Visualisation. User Evaluations. A/B Testing. Experimental Design. Distributed User Testing.


Embodied Cognition. Sonification. Auditory Display. Stephen Roddy.