Conversational greeting detection using captioning on head worn displays versus smartphones

Tu, Jason; Lin, Georgianna; Starner﻿﻿, Thad

doi:10.1145/3410531.3414293

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…Since Tap can be used without a screen (unlike smartphone gesture keyboards), it lends itself to use with a head-worn display or an audio display (such as a pair of Bluetooth earbuds). Research comparing phones and head-worn displays has shown differences in cognitive workloads and preferences depending on the mobility of a task [22]. Evaluating Tap as one of the many actively researched head-worn display input methods [6] could yield interesting results in support of finger-worn one-handed chording keyboards.…”

Section: Discussionmentioning

confidence: 99%

Typing on Tap: Estimating a Finger-Worn One-Handed Chording Keyboard’s Text Entry Rate

Jeyachandra

Nagesh

et al. 2021

2021 International Symposium on Wearable Computers

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The Tap Strap TM enables eyes-free mobile typing using a one-hand device worn on the user's fingers. Using the standard MacKenzie-Soukoreff text entry phrase set, 12 participants completed 480 minutes of practice with the keyboard on either their dominant or non-dominant hand. Average final typing rate was 22.11 words per minute (WPM), and letter accuracy increased from 85.11% to 91.02%. Non-dominant hand users typed more accurately than dominant after 420 minutes of practice. CCS CONCEPTS• Human-centered computing → Empirical studies in ubiquitous and mobile computing; Text input.

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Section: Discussionmentioning

confidence: 99%

Typing on Tap: Estimating a Finger-Worn One-Handed Chording Keyboard’s Text Entry Rate

Jeyachandra

Nagesh

et al. 2021

2021 International Symposium on Wearable Computers

Self Cite

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“…Two papers focused on supporting human-tohuman conversations. Tu et al 12 used head worn displays and their sensing as well as presentation capabilities to detect and communicate conversational greetings, and compared it to smartphone-based interaction. Ogawa and Maes 13 used smartwatches to suggest casual conversations in awkward encounters.…”

Section: Interactionmentioning

confidence: 99%