Kelly Knollman-Porter1, Jessica A Brown2, Karen Hux3, Sarah E Wallace4, Allison Crittenden1. 1. Department of Speech Pathology and Audiology, Miami University, Oxford, OH. 2. Department of Speech, Language, and Hearing Sciences, University of Arizona, Tucson. 3. Quality Living Inc., Omaha, NE. 4. Department of Communication Science and Disorders, University of Pittsburgh, PA.
Abstract
BACKGROUND: Person-centered approaches promote consistent use of supportive technology and feelings of empowerment for people with disabilities. Feature personalization is an aspect of person-centered approaches that can affect the benefit people with aphasia (PWA) derive from using text-to-speech (TTS) technology as a reading support. AIMS: This study's primary purpose was to compare the comprehension and processing time of PWA when performing TTS-supported reading with preferred settings for voice, speech output rate, highlighting type, and highlighting color versus unsupported reading. A secondary aim was to examine initial support and feature preference selections, preference changes following TTS exposure, and anticipated functional reading activities for utilizing TTS technology. METHOD AND PROCEDURE: Twenty PWA read passages either via written text or text combined with TTS output using personally selected supports and features. Participants answered comprehension questions, reevaluated their preference selections, and provided feedback both about feature selections and possible future TTS technology uses. OUTCOMES AND RESULTS: Comprehension accuracy did not vary significantly between reading conditions; however, processing time was significantly less in the TTS-supported condition, thus suggesting TTS support promoted greater reading speed without compromising comprehension. Most participants preferred the TTS condition and several anticipated benefits when reading lengthy and difficult materials. Alterations to initial settings were relatively rare. CONCLUSIONS: Personalizing TTS systems is relevant to person-centered interventions. Reading with desired TTS system supports and features promotes improved reading efficiency by PWA compared with reading without TTS support. Attending to client preferences is important when customizing and implementing TTS technology as a reading support.
BACKGROUND: Person-centered approaches promote consistent use of supportive technology and feelings of empowerment for people with disabilities. Feature personalization is an aspect of person-centered approaches that can affect the benefit people with aphasia (PWA) derive from using text-to-speech (TTS) technology as a reading support. AIMS: This study's primary purpose was to compare the comprehension and processing time of PWA when performing TTS-supported reading with preferred settings for voice, speech output rate, highlighting type, and highlighting color versus unsupported reading. A secondary aim was to examine initial support and feature preference selections, preference changes following TTS exposure, and anticipated functional reading activities for utilizing TTS technology. METHOD AND PROCEDURE: Twenty PWA read passages either via written text or text combined with TTS output using personally selected supports and features. Participants answered comprehension questions, reevaluated their preference selections, and provided feedback both about feature selections and possible future TTS technology uses. OUTCOMES AND RESULTS: Comprehension accuracy did not vary significantly between reading conditions; however, processing time was significantly less in the TTS-supported condition, thus suggesting TTS support promoted greater reading speed without compromising comprehension. Most participants preferred the TTS condition and several anticipated benefits when reading lengthy and difficult materials. Alterations to initial settings were relatively rare. CONCLUSIONS: Personalizing TTS systems is relevant to person-centered interventions. Reading with desired TTS system supports and features promotes improved reading efficiency by PWA compared with reading without TTS support. Attending to client preferences is important when customizing and implementing TTS technology as a reading support.
Authors: E Foy White-Chu; William J Graves; Sandra M Godfrey; Alice Bonner; Philip Sloane Journal: J Am Med Dir Assoc Date: 2009-07 Impact factor: 4.669
Authors: Karen Hux; Jessica A Brown; Sarah Wallace; Kelly Knollman-Porter; Anna Saylor; Erica Lapp Journal: Am J Speech Lang Pathol Date: 2019-11-05 Impact factor: 2.408
Authors: Kelly Knollman-Porter; Sarah E Wallace; Jessica A Brown; Karen Hux; Brielle L Hoagland; Darbi R Ruff Journal: Am J Speech Lang Pathol Date: 2019-06-27 Impact factor: 2.408
Authors: Jessica A Brown; Kelly Knollman-Porter; Karen Hux; Sarah E Wallace; Camille Deville Journal: Aphasiology Date: 2020-06-30 Impact factor: 2.773