A review of design and evaluation practices in mobile text entry for visually impaired and blind persons

A Komninos, V Stefanis, J Garofalakis - Multimodal Technologies and …, 2023 - mdpi.com
Millions of people with vision impairment or vision loss face considerable barriers in using
mobile technology and services due to the difficulty of text entry. In this paper, we review …

[图书][B] Assessing the Effects and Risks of Large Language Models in AI-Mediated Communication

M Jakesch - 2022 - search.proquest.com
Large language models like GPT-3 are increasingly becoming part of human
communication. Through writing suggestions, grammatical assistance, and machine …

Voice and touch based error-tolerant multimodal text editing and correction for smartphones

M Zhao, W Cui, IV Ramakrishnan, S Zhai… - The 34th Annual ACM …, 2021 - dl.acm.org
Editing operations such as cut, copy, paste, and correcting errors in typed text are often
tedious and challenging to perform on smartphones. In this paper, we present VT, a voice …

Utility of crowdsourced user experiments for measuring the central tendency of user performance to evaluate error-rate models on guis

S Yamanaka - Proceedings of the AAAI Conference on Human …, 2021 - ojs.aaai.org
The usage of crowdsourcing to recruit numerous participants has been recognized as
beneficial in the human-computer interaction (HCI) field, such as for designing user …

[图书][B] Artificial intelligence for human computer interaction: a modern approach

Y Li, O Hilliges - 2021 - Springer
We are in the mid of an ongoing revolution in Computer Science and by extension our
everyday lives that are now intrinsically interwoven with digital technology. Brought on by …

Auto-Cucumber: The Impact of Autocorrection Failures on Users' Frustration

O Alharbi, W Stuerzlinger - Graphics Interface 2022, 2022 - openreview.net
Many mobile users rely on autocorrection mechanisms during text entry on their
smartphone. Previous studies investigated the effects of autocorrection mechanisms on …

AI-Driven Intelligent Text Correction Techniques for Mobile Text Entry

M “Ray” Zhang, H Wen, W Cui, S Zhu… - Artificial Intelligence for …, 2021 - Springer
Current text correction processes on mobile touch devices are laborious: users either
extensively use backspace, or navigate the cursor to the error position, make a correction …

Utility of Crowdsourced User Experiments for Measuring the Central Tendency of User Performance: A Case of Error-Rate Model Evaluation in a Pointing Task

S Yamanaka - Frontiers in Artificial Intelligence, 2022 - frontiersin.org
The usage of crowdsourcing to recruit numerous participants has been recognized as
beneficial in the human-computer interaction (HCI) field, such as for designing user …

[PDF][PDF] A Review of Design and Evaluation Practicse in Mobile Text Entry for Visually Impaired and Blind Persons. Multimodal Technol. Interact. 2023, 7, 22

A Komninos, V Stefanis, J Garofalakis - 2023 - komninos.info
Millions of people with vision impairment or vision loss face considerable barriers in using
mobile technology and services due to the difficulty of text entry. In this paper, we review …

A review of design and evaluation practices in mobile text entry for visually impaired and blind persons

Α Κομνηνός, Β Στεφανής, Ι Γαροφαλάκης - 2023 - repository-empedu-rd.ekt.gr
Millions of people with vision impairment or vision loss face considerable barriers in using
mobile technology and services due to the difficulty of text entry. In this paper, we review …