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Megan Sochanski

dblp:278/3550 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2021
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Systems, architecture and hardware · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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
Human-robot interaction · 61% Immersive interaction · 30% Health and well-being technologies · 9%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
teleoperation
0.512021
Can Therapists Design Robot-Mediated Interventions and Teleoperate Robots Using VR to Deliver Interventions for ASD? · ICRA 2021
Immersive interaction › 3d user interface
virtual reality interface
0.512021
Can Therapists Design Robot-Mediated Interventions and Teleoperate Robots Using VR to Deliver Interventions for ASD? · ICRA 2021
Health and well-being technologies
autism spectrum disorder intervention
0.112021
Can Therapists Design Robot-Mediated Interventions and Teleoperate Robots Using VR to Deliver Interventions for ASD? · ICRA 2021

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

user study · 0.5
YearPublicationVenuePosition
2021 Can Therapists Design Robot-Mediated Interventions and Teleoperate Robots Using VR to Deliver Interventions for ASD?
abstract
Socially Assistive Robots (SARs) have demonstrated success in the delivery of interventions to individuals with Autism Spectrum Disorder (ASD). To date, these robot-mediated interventions have primarily been designed and implemented by robotics researchers. It remains unclear whether therapists could independently utilize robots to deliver therapies in clinical settings. In this paper, we conducted a study to investigate whether therapists could design and implement robot-mediated interventions for children with ASD. Furthermore, we compared therapists’ performance, efficiency, and perceptions towards using a Virtual Reality (VR) and kinesthetic-based interface for delivering robot-mediated interventions. Overall, our results demonstrated therapists could independently design and implement interventions with a SAR. They were faster at designing a new intervention using VR than a kinesthetic interface. Therapists also had similar performance to delivering inperson interventions when utilizing VR to deliver interventions with the robot. Therapists reported moderate workload using the VR interface and perceived VR to be usable.
Roman Kulikovskiy, Megan Sochanski, Ala'aldin Hijaz, Matteson Eaton, Jessica Korneder, Wing-Yue Geoffrey Louie
ICRA2
2021 Therapists' Perspectives After Implementing a Robot into Autism Therapy
abstract
Socially assistive robots (SARs) are currently being developed to assist in the delivery of Applied Behavior Analysis (ABA) therapies to individuals diagnosed with Autism Spectrum Disorder (ASD). Although SARs have demonstrated positive outcomes, minimal research has focused on investigating needs of the therapists that deliver treatments. Therapist perspectives are important as they will likely be the primary end-users of SARs. In this study, we investigated the perceptions and design requirements of ABA therapists towards SARs and the interfaces used to operate them. Therapists were interviewed after they independently designed, developed, and implemented their own robot-mediated interventions. Overall, therapists’ general perceptions towards integrating a SAR within their existing workflow was positive and they expected that children would benefit from ABA therapies delivered by a SAR. The therapists also provided insights on design requirements for utilizing SARs and their interfaces as well as potential clinical and future use cases for this technology.
Megan Sochanski, Kassadi Snyder, Jessica Korneder, Wing-Yue Geoffrey Louie
RO-MAN1