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Nonverbal Auditory Cues Allow Relationship Quality to be Inferred During Conversations. ...
Dunbar, RIM; Robledo, Juan-Pablo; Tamarit, Ignacio. - : Apollo - University of Cambridge Repository, 2022
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2
LexiComWeb: donnees et executables. Synthèse de la communication web par le lexique ...
, REYMOND; Lebourgeois; Campos. - : Zenodo, 2022
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LexiComWeb: donnees et executables. Synthèse de la communication web par le lexique ...
, REYMOND; Lebourgeois; Campos. - : Zenodo, 2022
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4
Listening to Stakeholders Involved in Speech-Language Therapy for Children With Communication Disorders: Content Analysis of Apple App Store Reviews
In: JMIR Pediatr Parent (2022)
Abstract: BACKGROUND: With the plethora of mobile apps available on the Apple App Store, more speech-language pathologists (SLPs) have adopted apps for speech-language therapy services, especially for pediatric clients. App Store reviews are publicly available data sources that can not only create avenues for communication between technology developers and consumers but also enable stakeholders such as parents and clinicians to share their opinions and view opinions about the app content and quality based on user experiences. OBJECTIVE: This study examines the Apple App Store reviews from multiple key stakeholders (eg, parents, educators, and SLPs) to identify and understand user needs and challenges of using speech-language therapy apps (including augmentative and alternative communication [AAC] apps) for pediatric clients who receive speech-language therapy services. METHODS: We selected 16 apps from a prior interview study with SLPs that covered multiple American Speech-Language-Hearing Association Big Nine competencies, including articulation, receptive and expressive language, fluency, voice, social communication, and communication modalities. Using an automatic Python (Python Software Foundation) crawler developed by our research team and a Really Simple Syndication feed generator provided by Apple, we extracted a total of 721 app reviews from 2009 to 2020. Using qualitative coding to identify emerging themes, we conducted a content analysis of 57.9% (418/721) reviews and synthesized user feedback related to app features and content, usability issues, recommendations for improvement, and multiple influential factors related to app design and use. RESULTS: Our analyses revealed that key stakeholders such as family members, educators, and individuals with communication disorders have used App Store reviews as a platform to share their experiences with AAC and speech-language apps. User reviews for AAC apps were primarily written by parents who indicated that AAC apps consistently exhibited more usability issues owing to violations of design guidelines in areas of aesthetics, user errors, controls, and customization. Reviews for speech-language apps were primarily written by SLPs and educators who requested and recommended specific app features (eg, customization of visuals, recorded feedback within the app, and culturally diverse character roles) based on their experiences working with a diverse group of pediatric clients with a variety of communication disorders. CONCLUSIONS: To our knowledge, this is the first study to compile and analyze publicly available App Store reviews to identify areas for improvement within mobile apps for pediatric speech-language therapy apps from children with communication disorders and different stakeholders (eg, clinicians, parents, and educators). The findings contribute to the understanding of apps for children with communication disorders regarding content and features, app usability and accessibility issues, and influential factors that impact both AAC apps and speech-language apps for children with communication disorders who need speech therapy.
Keyword: Original Paper
URL: https://doi.org/10.2196/28661
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817219/
http://www.ncbi.nlm.nih.gov/pubmed/35060912
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5
What Influences the Way Radiologists Express Themselves in Their Reports? A Quantitative Assessment Using Natural Language Processing
In: J Digit Imaging (2022)
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6
Ageing and selective inhibition of irrelevant information in an attention-demanding rapid serial visual presentation task
In: Brain Neurosci Adv (2022)
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7
Discussions and Misinformation About Electronic Nicotine Delivery Systems and COVID-19: Qualitative Analysis of Twitter Content
In: JMIR Form Res (2022)
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8
The Influence of Face Masks on Verbal Communication in Persian in the Presence of Background Noise in Healthcare Staff
In: Acoust Aust (2022)
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9
EfficientMask-Net for face authentication in the era of COVID-19 pandemic
In: Signal Image Video Process (2022)
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10
Prioritizing Support Offered to Caregivers by Examining the Status Quo and Opportunities for Enhancement When Using Web-Based Self-reported Health Questionnaires: Descriptive Qualitative Study
In: JMIR Form Res (2022)
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11
Identifying COVID-19 Outbreaks From Contact-Tracing Interview Forms for Public Health Departments: Development of a Natural Language Processing Pipeline
In: JMIR Public Health Surveill (2022)
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12
Smartphone App–Based Noncontact Ecological Momentary Assessment With Experienced and Naïve Older Participants: Feasibility Study
In: JMIR Form Res (2022)
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13
Facial and Vocal Markers of Schizophrenia Measured Using Remote Smartphone Assessments: Observational Study
In: JMIR Form Res (2022)
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14
Exploring the Factors Affecting Behavioural Intention to Use Google Classroom: University Teachers’ Perspectives in Bangladesh and Nigeria
In: TechTrends (2022)
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15
Social emotional ability development (SEAD): An integrated model of practical emotion-based competencies
In: Motiv Emot (2022)
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16
Quantitative Measurement of Adult Human Larynx post General Anesthesia with Intubation
In: Int J Med Sci (2022)
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17
Interpersonal Mindfulness Questionnaire: Scale Development and Validation
In: Mindfulness (N Y) (2022)
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18
Students’ feedback experiences and expectations pre- and post-university entry
In: SN Soc Sci (2022)
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19
NMD is required for timely cell fate transitions by fine-tuning gene expression and regulating translation
In: Genes Dev (2022)
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20
Understanding the #longCOVID and #longhaulers Conversation on Twitter: Multimethod Study
In: JMIR Infodemiology (2022)
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