Design Investigation of Embroidered Interactive Elements on Non-Wearable Textile Interfaces

Sara Mlakar, Michael Haller

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

20 Citations (Scopus)

Abstract

As smart textiles are becoming more present in our lives, investigating and designing textile interfaces has started getting more and more attention. Still, very little research has been done on how to design interactive elements for non-wearable textile interfaces for the best recognition, perception, and interaction. In this paper, we present initial assumptions for designing such interfaces, which we derived from working intensively with our partners from the industry. These have been further explored with experts from the field during interviews, and finally tested in a user study. As a conclusion of the study, we define five design recommendations for textile interfaces and present several prototypes that demonstrate them in practice. Our recommendations cover tactile contrast between textures, heights, and shapes; minimal recognizable size of elements; perception of concave and convex shapes as interactive elements; indication of interaction through shape; and recognition of tactile symbols.

Original languageEnglish
Title of host publicationCHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450367080
DOIs
Publication statusPublished - 21 Apr 2020
Event2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020 - Honolulu, United States
Duration: 25 Apr 202030 Apr 2020

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020
Country/TerritoryUnited States
CityHonolulu
Period25.04.202030.04.2020

Keywords

  • design recommendations
  • embroidery
  • expert interviews
  • non-wearables
  • smart textiles
  • textile interfaces
  • user study

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