Text Entry for XR Trove (TEXT): Collecting and Analyzing Techniques for Text Input in XR
Arpit Bhatia, Moaaz Hudhud Mughrabi, Diar Abdlkarim, Massimiliano Di Luca, Mar Gonzalez-Franco, Karan Ahuja, Hasti Seifi
Abstract
Text entry for extended reality (XR) is far from perfect, and a variety of text entry techniques (TETs) have been proposed to fit various contexts of use. However, comparing between TETs remains challenging due to the lack of a consolidated collection of techniques, and limited understanding of how interaction attributes of a technique (e.g., presence of visual feedback) impact user performance. To address these gaps, this paper examines the current landscape of XR TETs by creating a database of 176 different techniques. We analyze this database to highlight trends in the design of these techniques, the metrics used to evaluate them, and how various interaction attributes impact these metrics. We discuss implications for future techniques and present TEXT: Text Entry for XR Trove, an interactive online tool to navigate our database.
Citation
Bhatia, A., Mughrabi, M. H., Abdlkarim, D., Di Luca, M., Gonzalez-Franco, M., Ahuja, K., & Seifi, H. (2025). Text Entry for XR Trove (TEXT): Collecting and Analyzing Techniques for Text Input in XR. arXiv preprint arXiv:2503.11357.
BibTeX
@article{bhatia2025text,
title={Text Entry for XR Trove (TEXT): Collecting and Analyzing Techniques for Text Input in XR},
author={Bhatia, Arpit and Mughrabi, Moaaz Hudhud and Abdlkarim, Diar and Di Luca, Massimiliano and Gonzalez-Franco, Mar and Ahuja, Karan and Seifi, Hasti},
journal={arXiv preprint arXiv:2503.11357},
year={2025}
}