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Investigating Eyes-Free Recognition and Distinguishability of Textile Icons in Pairs

Published: 04 March 2025 Publication History

Abstract

Textile interfaces enable silent and discreet input on clothing, accessories, and smart home furniture. While researchers already presented approaches to make them technologically feasible, it is not fully clear how users experience textile interfaces and how well users perform when vision-free usage is encouraged. Recently, designs of single textile icons, i.e., symbols used as textile buttons or labels, were investigated. Practical user interfaces, however, typically consist of entire groups of nearby icons. Their haptic distinguishability is key for seamless operation. Furthermore, it is unclear whether icon recognition benefits or suffers when comparing neighboring icons is possible. We conducted a study where users blindly palpated icon pairs, tried to recognize the individual shapes and rated how easy they were to tell apart. We present our observations on haptic distinguishability, which, inter alia, show that more haptic cues via neighboring icons do not impact shape recognition.

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References

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cover image ACM Conferences
TEI '25: Proceedings of the Nineteenth International Conference on Tangible, Embedded, and Embodied Interaction
March 2025
1305 pages
ISBN:9798400711978
DOI:10.1145/3689050
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 04 March 2025

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Author Tags

  1. Textile Interfaces
  2. Icons
  3. Eyes-free Interaction
  4. Haptic Recognition

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