Accessible Gesture Typing for Non-Visual Text Entry on Smartphones

Billah, Syed Masum; Ko, Yu-Jung; Ashok, Vikas; Bi, Xiaojun; Ramakrishnan, I. V.

doi:10.1145/3290605.3300606

Cited by 11 publications

(8 citation statements)

References 26 publications

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“…Hence, although it is a practice used by a majority of the papers, many others only report only numerical values. One reason provided is that the sample size of participants is too small (e.g., [13]).…”

Section: Statistical Testsmentioning

confidence: 99%

Review of Quantitative Empirical Evaluations of Technology for People with Visual Impairments

Brulé

Tomlinson

Metatla

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

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Addressing the needs of visually impaired people is of continued interest in Human Computer Interaction (HCI) research. Yet, one of the major challenges facing researchers in this field continues to be how to design adequate quantitative empirical evaluation for these users in HCI. In this paper, we analyse a corpus of 178 papers on technologies designed for people with visual impairments 1 , published since 1988, and including at least one quantitative empirical evaluation (243 evaluations in total). To inform future research in this area, we provide an overview, historic trends and a unified terminology to design and report quantitative empirical evaluations. We identify open issues and propose a set of guidelines to address them. Our analysis aims to facilitate and stimulate future research on this topic.

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Section: Statistical Testsmentioning

confidence: 99%

Review of Quantitative Empirical Evaluations of Technology for People with Visual Impairments

Brulé

Tomlinson

Metatla

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

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“…This may be because the underlying action of sliding a finger from one place to another was commonly seen in touchscreen interaction, which made text entry using gestures feel more natural to older adults [34]. Gesture typing, in particular, allows users to enter words with rough shapes and placement, which contributes to its error-tolerance properties [9]. This is evident for older adults as lower error rates were observed with gesture typing [34].…”

Section: Text Entry For Older Adultsmentioning

confidence: 99%

“…This allows users to swipe to key 1 from any of the other 8 keys to repeat the same letter without the need to pause on a certain key or lift their finger up. To evaluate our proposed keyboard, we conducted a user study to compare the T9 with enhanced key 1 with the conventional T9 and the T9 with wiggle gesture proposed by Billah et al [9], which requires users to make three direction changes within the same key to enter a consecutive letter. We carried out a within-subjects study with 12 older adults aged 61 to 72 (𝑀𝑒𝑎𝑛 = 64.8, 𝑆𝐷 = 3.72), who were asked to use all three methods to type 20 phrases randomly selected from Mackenzie's phrase set [37].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Older Adults’ Gesture Typing Experience Using the T9 Keyboard on Small Touchscreen Devices

Kuang

Chen

Fan

2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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Older adults increasingly adopt small-screen devices, but limited motor dexterity hinders their ability to type effectively. While a 9-key (T9) keyboard allocates larger space to each key, it is shared by multiple consecutive letters. Consequently, users must interrupt their gestures when typing consecutive letters, leading to inefficiencies and poor user experience. Thus, we proposed a novel keyboard that leverages the currently unused key 1 to duplicate letters from the previous key, allowing the entry of consecutive letters without interruptions. A user study with 12 older adults showed that it significantly outperformed the T9 with wiggle gesture in typing speed, KSPC, insertion errors, and deletes per word while achieving comparable performance as the conventional T9. Repeating the typing tasks with 12 young adults found that the advantages of the novel T9 were consistent or enhanced. We also provide error analysis and design considerations for improving gesture typing on T9 for older adults.CCS Concepts: • Human-centered computing → Empirical studies in accessibility; Empirical studies in HCI; • Social and professional topics → Seniors.

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“…A double-tap or split-tap selects the last heard element [38]. Over the last decade, numerous projects aimed at improving touchscreen interfaces, including understanding the performance of gestures [41], proposing new text input techniques [6,24,51,52], and leveraging Braille knowledge [4,58]. Other solutions took advantage of concurrent speech feedback [23], augmented touchscreens with physical interfaces [40,60,62] or haptic feedback [19,46].…”

Section: Touchscreen Accessibilitymentioning

confidence: 99%

Collaborative Tabletops for Blind People

Mendes

Reis

Guerreiro

et al. 2020

Proc. ACM Hum.-Comput. Interact.

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Fig. 1. Blind users collaborating on an interactive tabletop. Left: after receiving spatial audio feedback about her partners' findings, a user drags her finger to that location. Middle: a user found a relevant object for her partner, proceeding to grab and guide his hand to the object's position. Right: without knowing where their partners are exploring, the users experience unintentional physical contact. Interactive tabletops offer unique collaborative features, particularly their size, geometry, orientation and, more importantly, the ability to support multiuser interaction. Although previous efforts were made to make interactive tabletops accessible to blind people, the potential to use them in collaborative activities remains unexplored. In this paper, we present the design and implementation of a multiuser auditory display for interactive tabletops, supporting three feedback modes that vary on how much information about the partners' actions is conveyed. We conducted a user study with ten blind people to assess the effect of feedback modes on workspace awareness and task performance. Furthermore, we analyze the type of awareness information exchanged and the emergent collaboration strategies. Finally, we provide implications for the design of future tabletop collaborative tools for blind users. CCS Concepts: • Human-centered computing → Accessibility; Empirical studies in accessibility; User studies.

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Accessible Gesture Typing for Non-Visual Text Entry on Smartphones

Cited by 11 publications

References 26 publications

Review of Quantitative Empirical Evaluations of Technology for People with Visual Impairments

Review of Quantitative Empirical Evaluations of Technology for People with Visual Impairments

Enhancing Older Adults’ Gesture Typing Experience Using the T9 Keyboard on Small Touchscreen Devices

Collaborative Tabletops for Blind People

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