Short answer
When designing audiovisual data representations, consider established cross-sensory correspondences to ensure intuitive interpretation and avoid ambiguity.
- Field
- User-Centred Design
- Source
- Proceedings of DRS (2022)
- Method
- Phenomenological analysis of existing audiovisual sonifications.
- Sample
- 80 audiovisual sonifications
- Evidence
- Moderate effect
A structured map of sensory correspondences can guide designers in creating more intuitive and effective audiovisual data sonifications. This user-centred design research insight is drawn from a 2022 study published in Proceedings of DRS. Using Phenomenological analysis of existing audiovisual sonifications. with 80 audiovisual sonifications, researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing audiovisual data representations, consider established cross-sensory correspondences to ensure intuitive interpretation and avoid ambiguity.
Cross-Sensory Design Map Standardizes Audiovisual Data Representation
A structured map of sensory correspondences can guide designers in creating more intuitive and effective audiovisual data sonifications.
Proceedings of DRS · 2022
Key Findings
- 01Lack of shared perceptual codes hinders meaning construction in data sonification.
- 02A cross-sensory design map can propose testable hypotheses for systematic data sonification.
- 03The map can offer a basis for standardizing design choices in audiovisual data representation.
Application
Design takeaway
When designing audiovisual data representations, consider established cross-sensory correspondences to ensure intuitive interpretation and avoid ambiguity.
How to apply
Use the principles of the cross-sensory design map to inform the selection of visual and auditory elements when designing dashboards, infographics, or interactive data visualizations.
Project actions
- 01When designing a data visualization, think about how sound can complement the visual elements to convey information more effectively.
- 02Consider using established cross-modal correspondences (e.g., high pitch for high values) to guide your design choices.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Systematic analysis of a significant number of existing sonifications.
- +Development of a practical 'design map' with potential for standardization.
Limitations
The subjective nature of interpreting sensory experiences can make it challenging to create universally applicable mappings. The specific context of the data can also influence how well certain mappings work.
Reliability & validity
Reliability could be enhanced by having multiple analysts perform the phenomenological analysis. Validity is supported by the aim to create testable hypotheses for future systematic research.
Think critically
To what extent can a universal 'design map' account for cultural differences in sensory perception and data interpretation?
Design Principles
"Leverage established cross-sensory mappings to enhance the intuitiveness and effectiveness of multisensory data representations."
Effective data representation relies on users' ability to quickly and accurately interpret information. By understanding how visual and auditory perceptions align, designers can create more impactful and less ambiguous data experiences, enhancing user comprehension and engagement.
What This Means for Your Design
This study shows that by looking at how we naturally connect what we see with what we hear, designers can create better ways to show data using both sound and visuals, making it easier for people to understand.
How to use in your project
- 1.Reference this study when justifying your design choices for integrating audiovisual elements in your data representation project, explaining how you considered cross-modal correspondences.
Add to My Project
Quick Cite
Paragraph starter
This research highlights the importance of leveraging cross-sensory correspondences in audiovisual data representation. By analyzing existing sonifications, a design map was developed to guide designers in creating more intuitive and effective multisensory experiences, suggesting that adherence to established perceptual links can enhance user comprehension and reduce ambiguity in data interpretation.
Source
Proceedings of DRS
Audiovisual sonifications: A design map for multisensory integration in data representation
journal · 2022
View sourceQuestions About This Research
- What does the research say about cross-sensory design map standardizes audiovisual data representation?
- When designing audiovisual data representations, consider established cross-sensory correspondences to ensure intuitive interpretation and avoid ambiguity. Evidence: Proceedings of DRS (2022).
- Why does "Cross-Sensory Design Map Standardizes Audiovisual Data Representation" matter for design?
- Effective data representation relies on users' ability to quickly and accurately interpret information. By understanding how visual and auditory perceptions align, designers can create more impactful and less ambiguous data experiences, enhancing user comprehension and engagement.
- How can designers apply this research?
- When designing audiovisual data representations, consider established cross-sensory correspondences to ensure intuitive interpretation and avoid ambiguity.
- What were the main findings?
- Lack of shared perceptual codes hinders meaning construction in data sonification.. A cross-sensory design map can propose testable hypotheses for systematic data sonification.. The map can offer a basis for standardizing design choices in audiovisual data representation.
- What research method was used?
- Phenomenological analysis of existing audiovisual sonifications. with 80 audiovisual sonifications.
- How strong is the evidence?
- Evidence strength is rated Moderate effect, based on a 2022 journal from Proceedings of DRS.
- What should I do differently in my next project?
- Use the principles of the cross-sensory design map to inform the selection of visual and auditory elements when designing dashboards, infographics, or interactive data visualizations.
- What are the limitations?
- The analysis is based on existing sonifications, which may have inherent biases. The subjective nature of phenomenological analysis can introduce variability.