Usability Enhancement and Functional Extension of a Digital Tool for Rapid Assessment of Risk for Autism Spectrum Disorders in Toddlers Based on Pilot Test and Interview Data

Deeksha Adiani, Mike Schmidt, Joshua Wade, Amy R. Swanson, Amy Weitlauf, Zachary Warren, Nilanjan Sarkar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Early accurate identification and treatment of young children with Autism Spectrum Disorder (ASD) represents a pressing public health and clinical care challenge. Unfortunately, large numbers of children are still not screened for ASD, waits for specialized diagnostic assessment can be very long, and the average age of diagnosis in the US remains between 4 to 5 years of age. In a step towards meaningfully addressing this issue, we previously developed Autoscreen: a digital tool for accurate and time-efficient screening, diagnostic triage, referral, and treatment engagement of young children with ASD concerns within community pediatric settings. In the current work, we significantly improve upon and expand Autoscreen based on usability data and interview data collected in a pilot investigation of pediatric healthcare providers using Autoscreen. The enhanced version of Autoscreen addresses limitations of the previous tool, such as scalability, and introduces important new features based on rigorous interviews with the target user population. Once validated on a large sample, Autoscreen could become an impactful tool for early ASD screening and targeted referral in primary care settings. The comprehensively-enhanced tool described in the current work will enable the investigative team to achieve this goal.

Original languageEnglish (US)
Title of host publicationUniversal Access in Human-Computer Interaction. Multimodality and Assistive Environments - 13th International Conference, UAHCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
EditorsMargherita Antona, Constantine Stephanidis
PublisherSpringer Verlag
Pages13-22
Number of pages10
ISBN (Print)9783030235628
DOIs
StatePublished - Jan 1 2019
Externally publishedYes
Event13th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: Jul 26 2019Jul 31 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11573 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
CountryUnited States
CityOrlando
Period7/26/197/31/19

Fingerprint

Usability
Disorder
Enhancement
Pediatrics
Screening
Diagnostics
Primary Care
Public Health
Public health
Healthcare
Expand
Scalability
Target
Children

Keywords

  • Autism Spectrum Disorders
  • Digital screening
  • Scalability
  • Usability enhancement

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Adiani, D., Schmidt, M., Wade, J., Swanson, A. R., Weitlauf, A., Warren, Z., & Sarkar, N. (2019). Usability Enhancement and Functional Extension of a Digital Tool for Rapid Assessment of Risk for Autism Spectrum Disorders in Toddlers Based on Pilot Test and Interview Data. In M. Antona, & C. Stephanidis (Eds.), Universal Access in Human-Computer Interaction. Multimodality and Assistive Environments - 13th International Conference, UAHCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings (pp. 13-22). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11573 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-23563-5_2

Usability Enhancement and Functional Extension of a Digital Tool for Rapid Assessment of Risk for Autism Spectrum Disorders in Toddlers Based on Pilot Test and Interview Data. / Adiani, Deeksha; Schmidt, Mike; Wade, Joshua; Swanson, Amy R.; Weitlauf, Amy; Warren, Zachary; Sarkar, Nilanjan.

Universal Access in Human-Computer Interaction. Multimodality and Assistive Environments - 13th International Conference, UAHCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. ed. / Margherita Antona; Constantine Stephanidis. Springer Verlag, 2019. p. 13-22 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11573 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Adiani, D, Schmidt, M, Wade, J, Swanson, AR, Weitlauf, A, Warren, Z & Sarkar, N 2019, Usability Enhancement and Functional Extension of a Digital Tool for Rapid Assessment of Risk for Autism Spectrum Disorders in Toddlers Based on Pilot Test and Interview Data. in M Antona & C Stephanidis (eds), Universal Access in Human-Computer Interaction. Multimodality and Assistive Environments - 13th International Conference, UAHCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11573 LNCS, Springer Verlag, pp. 13-22, 13th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019, Orlando, United States, 7/26/19. https://doi.org/10.1007/978-3-030-23563-5_2
Adiani D, Schmidt M, Wade J, Swanson AR, Weitlauf A, Warren Z et al. Usability Enhancement and Functional Extension of a Digital Tool for Rapid Assessment of Risk for Autism Spectrum Disorders in Toddlers Based on Pilot Test and Interview Data. In Antona M, Stephanidis C, editors, Universal Access in Human-Computer Interaction. Multimodality and Assistive Environments - 13th International Conference, UAHCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Springer Verlag. 2019. p. 13-22. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-23563-5_2
Adiani, Deeksha ; Schmidt, Mike ; Wade, Joshua ; Swanson, Amy R. ; Weitlauf, Amy ; Warren, Zachary ; Sarkar, Nilanjan. / Usability Enhancement and Functional Extension of a Digital Tool for Rapid Assessment of Risk for Autism Spectrum Disorders in Toddlers Based on Pilot Test and Interview Data. Universal Access in Human-Computer Interaction. Multimodality and Assistive Environments - 13th International Conference, UAHCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. editor / Margherita Antona ; Constantine Stephanidis. Springer Verlag, 2019. pp. 13-22 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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