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Updated: Mar 21, 2026

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions
Published on: April 19, 2018
Establishing direct relationships between soft material perception and rheology
Eric M Burgeson1, Jeffrey D Martin2, Matjaž Jogan3
1Department of Chemical and Biomolecular Engineering, University of Illinois Urbana-Champaign, Champaign, USA. ericmb3@illinois.edu.
This study quantifies human-material interactions in soft materials, linking sensory perception to objective rheology measurements. This advances product design by connecting user experience with material science.
Area of Science:
- Materials Science
- Rheology
- Human Perception
Background:
- Establishing a link between soft material properties and human sensory perception is crucial for consumer product design.
- Subjective sensory measurements lack scientific definitions, hindering objective product development.
- Previous research has struggled to quantify the relationship between material characteristics and user experience.
Purpose of the Study:
- To objectively measure and quantify human-material interactions in soft viscoelastic materials.
- To establish direct relationships between user behavior and measurable rheological properties.
- To explain variability in user-reported sensory perception through scientific metrics.
Main Methods:
- Utilized a series of viscoelastic putties to represent soft materials.
- Employed transient recovery rheology to characterize material properties.
- Quantified human behaviors during material interaction.
Main Results:
- Human behaviors during material interaction were shown to have direct rheological meaning.
- Material rheology was found to scale logarithmically at perception-relevant timescales, similar to Fechner's law.
- A method was developed to directly link user behavior to measurable rheology.
Conclusions:
- Objective quantification of human-material interactions is achievable using rheological methods.
- The study provides a scientific basis for understanding and predicting sensory perception of soft materials.
- This research enables the design of consumer products with desired sensory attributes based on measurable material properties.
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