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Published on: December 19, 2016
Evaluating thermophysiological comfort using the principles of sensory analysis
Ivana Salopek Cubrić1, Zenun Skenderi
1University of Zagreb, Faculty of Textile Technology, Department of Textile Design and Management, Zagreb, Croatia. ivana.salopek@ttf.hr
This study introduces a new sensory analysis method to evaluate thermophysiological comfort in clothing. Viscose garments were found most comfortable, while polyester showed the highest warmth sensation.
Area of Science:
- Textile science
- Human sensory perception
- Clothing technology
Background:
- Thermophysiological comfort is crucial for clothing performance, influencing heat and moisture regulation.
- Existing methods for evaluating clothing comfort often lack objective sensory assessment.
- Sensory analysis offers a scientific approach to evaluating consumer goods through human senses.
Purpose of the Study:
- To develop and validate a novel sensory analysis protocol for assessing thermophysiological comfort in various garments.
- To compare the thermophysiological comfort properties of different clothing ensembles using the developed method.
- To establish the suitability of sensory analysis for representative groups in comfort evaluation.
Main Methods:
- Utilized sensory analysis principles to design a comprehensive test protocol.
- Involved defining interview content, recruiting and interviewing assessors, creating surveys, and conducting subjective assessments.
- Included group discussions, scoring, assessor selection, and detailed assessment preparation.
Main Results:
- Polyester clothing ensembles exhibited the most significant increase in warmth sensation.
- Cotton clothing ensembles demonstrated the lowest increase in warmth sensation.
- Viscose clothing ensembles received the highest average comfort ratings from assessors.
Conclusions:
- The developed sensory analysis method is effective for evaluating thermophysiological comfort in clothing.
- Viscose emerges as a highly comfortable material based on subjective assessor feedback.
- The method's efficacy is enhanced when employing a representative group of assessors.
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