Efficient Mid-Air Text Input Correction in Virtual Reality

The task of inputting text within virtual reality has attracted significant research attention over the last five years. Less well explored is the related task of correcting inputted text when errors are made. This is despite the fact that considerable time and frustration stems from efforts to correct text. In this paper, we bridge this gap in prior research and explore efficient methods for supporting text input correction in virtual reality. We present a characterization of the types and frequencies of errors encountered when inputting text in virtual reality and an analysis of effective editing strategies. We also present the results of a user study evaluating the performance and usability trade-offs for several interaction methods leveraging the unique capabilities of modern head-mounted displays.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/ismar62088.2024.00105
Citations
4
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
1.31
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Efficient Mid-Air Text Input Correction in Virtual Reality

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4 citations
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1.31
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Efficient Mid-Air Text Input Correction in Virtual Reality

Hrvoje Benko, Amy Karlson, Per Ola Kristensson, Matt Longest, John J. Dudley, Kashyap Todi, Robert Wang
article en
4 citations

Abstract

The task of inputting text within virtual reality has attracted significant research attention over the last five years. Less well explored is the related task of correcting inputted text when errors are made. This is despite the fact that considerable time and frustration stems from efforts to correct text. In this paper, we bridge this gap in prior research and explore efficient methods for supporting text input correction in virtual reality. We present a characterization of the types and frequencies of errors encountered when inputting text in virtual reality and an analysis of effective editing strategies. We also present the results of a user study evaluating the performance and usability trade-offs for several interaction methods leveraging the unique capabilities of modern head-mounted displays.

University of Cambridge (GB)
Openalex Percentile: Top 18%
Simulation and Modeling Applications
1.31
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