Leveraging Error Correction in Voice-based Text Entry by Talk-and-Gaze

要旨

We present the design and evaluation of Talk-and-Gaze (TaG), a method for selecting and correcting errors with voice and gaze. TaG uses eye gaze to overcome the inability of voice-only systems to provide spatial information. The user's point of gaze is used to select an erroneous word either by dwelling on the word for 800 ms (D-TaG) or by uttering a "select" voice command (V-TaG). A user study with 12 participants compared D-TaG, V-TaG, and a voice-only method for selecting and correcting words. Corrections were performed more than 20% faster with D-TaG compared to the V-TaG or voice-only methods. As well, D-TaG was observed to require 24% less selection effort than V-TaG and 11% less selection effort than voice-only error correction. D-TaG was well received in a subjective assessment with 66% of users choosing it as their preferred choice for error correction in voice-based text entry.

キーワード
Text Entry
Voice
Eye Tracking
Multimodal
Usability
Interaction Design
著者
Korok Sengupta
University of Koblenz-Landau, Koblenz, Germany
Sabin Bhattarai
University of Koblenz-Landau, Koblenz, Germany
Sayan Sarcar
University of Tsukuba, Tsukuba, Ibaraki, Japan
I. Scott MacKenzie
York University, Toronto, ON, Canada
Steffen Staab
Universität Stuttgart & University of Southampton, Koblenz, Germany
DOI

10.1145/3313831.3376579

論文URL

https://doi.org/10.1145/3313831.3376579

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Text entry

Paper session
306AB
5 件の発表
2020-04-28 18:00:00
2020-04-28 19:15:00
日本語まとめ
読み込み中…