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Siona Amrgousian

dblp:374/9487 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0002-1713-8973ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Accessibility and assistive technology · 44% Health and well-being technologies · 44% Human-AI interaction · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology › cognitive accessibility
assistive technology for cognitive disorders
0.812024
Voice Assistive Technology for Activities of Daily Living: Developing an Alexa Telehealth Training for Adults with Cognitive-Communication Disorders · CHI 2024
Human-AI interaction
voice assistants
0.212024
Voice Assistive Technology for Activities of Daily Living: Developing an Alexa Telehealth Training for Adults with Cognitive-Communication Disorders · CHI 2024

Methods — techniques the papers use, named apart from their topics

video analysis · 0.8interviews · 0.8
YearPublicationVenuePosition
2024 Voice Assistive Technology for Activities of Daily Living: Developing an Alexa Telehealth Training for Adults with Cognitive-Communication Disorders
abstract
Individuals with cognitive-communication disorders (CCDs) due to neurological conditions, such as traumatic brain injury and aphasia, experience difficulties in communication and cognition that impact their ability to perform activities of daily living, or ADLs (e.g., self-care, meal preparation, scheduling). Voice assistive technology (VAT) can support the independent performance of ADLs; however, there are limited VAT training programs that teach individuals with CCDs how to properly implement and use VAT for ADLs. The present study examined the implementation of an online training program using Alexa voice commands for five ADL domains (scheduling, entertainment, self-care, news & facts, and meal preparation). Using video analysis with seven adults with CCDs between ages 25 and 82 and interviews with five participants and three caregivers, we synthesized five weeks of training performance, analyzed participants' perceived benefits and challenges, and discussed challenges and opportunities for implementing VAT training for ADLs skills for adults with CCDs.
Yao Du 0002, Claire O'Connor, Ginna Byun, Lauren H. Kim, Siona Amrgousian, Priyal Vora
CHI5