Affiliation:
1. Florida State University, Tallahassee, Florida
Abstract
Microcomputers are ubiquitous to modern society, yet older adults consistently perform more poorly than younger counterparts using standard input devices (e.g. a mouse). Prior research has revealed that direct positioning devices (e.g. light pen), minimize age differences and enable quick transfer to the non-preferred hand. This study investigates whether speech recognition may also reduce age-related declines and enhance performance of older adults in target selection tasks. Twenty-four participants ages 20–26 (M = 21.7), twenty-four participants ages 44-55 (M = 48.9), and twenty-four participants ages 65–78 (M = 70.4) were asked to select a specified target using either a light pen or speech recognition software (IBM's ViaVoice). Results revealed no age effects for type of device, but response times for target acquisition were approximately 2178 ms longer for speech recognition than the direct positioning device, and preference ratings were higher using speech as input versus the lightpen. Implications are discussed.
Subject
General Medicine,General Chemistry
Cited by
6 articles.
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1. Voice-Based Interaction for an Aging Population: A Systematic Review;2023 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT);2023-01-19
2. DESIGN FOR AGING;HANDBOOK OF HUMAN FACTORS AND ERGONOMICS;2021-08-13
3. Computer Input Devices and the Elderly: A Musculoskeletal Disorder Focus;Lecture Notes in Computer Science;2015
4. A comparative study of information input devices for aging computer users;Behaviour & Information Technology;2013-09
5. Review Study of Computer Input Devices and Older Users;International Journal of Human-Computer Interaction;2009-06-08