TY - GEN
T1 - Using participatory design to create a user interface for analyzing pivotal response treatment video probes
AU - Heath, Corey D.C.
AU - Heath, Tracey
AU - McDaniel, Troy
AU - Venkateswara, Hemanth
AU - Panchanathan, Sethuraman
N1 - Funding Information:
Acknowledgements. The authors thank the Southwest Autism Research and Resource Center for their collaboration, and Arizona State University and the National Science Foundation for their funding support. This material is partially based upon work supported by the National Science Foundation under Grant No. 1069125 and 1828010.
Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - Training caregivers in pivotal response treatment (PRT) has been shown to help improve communication skills in children with autism. PRT training programs are implemented by clinicians that provide instruction, modelling, and assessment. Assessments are based on video recordings of the caregivers interacting with their children. Multimodal processing technologies could alleviate the costs involved in analyzing videos and providing performance-based feedback. Constructing a user interface (UI) for clinicians to view data extracted from PRT videos is an important aspect for creating a feedback system. Including clinicians throughout the design and development process ensures that the application fully meets the user’s needs. Currently, automated data collection and analysis is not undertaken in PRT evaluation. In addition to designing an interface, this project seeks to identify meaningful metrics and visual displays that will aid behavior analysts in their assessments. As part of a participatory design paradigm, clinicians evaluated a wireframe, alpha build, and beta build of a UI prototype. Critiques focused on application features, evaluation of automatically collected data, and usability. The prototype was evaluated as being capable of reducing video review time, and affording more opportunities for providing feedback to caregivers.
AB - Training caregivers in pivotal response treatment (PRT) has been shown to help improve communication skills in children with autism. PRT training programs are implemented by clinicians that provide instruction, modelling, and assessment. Assessments are based on video recordings of the caregivers interacting with their children. Multimodal processing technologies could alleviate the costs involved in analyzing videos and providing performance-based feedback. Constructing a user interface (UI) for clinicians to view data extracted from PRT videos is an important aspect for creating a feedback system. Including clinicians throughout the design and development process ensures that the application fully meets the user’s needs. Currently, automated data collection and analysis is not undertaken in PRT evaluation. In addition to designing an interface, this project seeks to identify meaningful metrics and visual displays that will aid behavior analysts in their assessments. As part of a participatory design paradigm, clinicians evaluated a wireframe, alpha build, and beta build of a UI prototype. Critiques focused on application features, evaluation of automatically collected data, and usability. The prototype was evaluated as being capable of reducing video review time, and affording more opportunities for providing feedback to caregivers.
KW - Autism spectrum disorder
KW - Multimodal analysis
KW - Participatory design
KW - Pivotal response treatment
KW - User interface
UR - http://www.scopus.com/inward/record.url?scp=85089617582&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85089617582&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-54407-2_16
DO - 10.1007/978-3-030-54407-2_16
M3 - Conference contribution
AN - SCOPUS:85089617582
SN - 9783030544065
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 183
EP - 198
BT - Smart Multimedia - 2nd International Conference, ICSM 2019, Revised Selected Papers
A2 - McDaniel, Troy
A2 - Berretti, Stefano
A2 - Curcio, Igor D.D.
A2 - Basu, Anup
PB - Springer
T2 - 2nd International Conference on Smart Multimedia, ICSM 2019
Y2 - 16 December 2019 through 18 December 2019
ER -