Exploring the Use of the Expert Search and Scanning Skills with Novice Drivers with and Without Conditions Affecting Executive Functioning

ECU Author/Contributor (non-ECU co-authors, if there are any, appear on document)

Stephanie Biggs (Creator)

Institution

East Carolina University (ECU )

Web Site: http://www.ecu.edu/lib/

Abstract: This study examined the use of the computer-based assessment tool in determining relationships between scanning performance and driver characteristics. A 3 (novice drivers, early licensed drivers, experienced drivers) x 2 (individuals without conditions, individuals with ADHD/ADD or ASD) factorial design was used in order to examine how and if these factors impact performance on a new screening/assessment tool, the Expert Search and Scanning Skills (ES3). The ES3 involved the participants responding to four videos which increased in environmental complexity. The participants used a computer mouse to identify potential hazards in the driving environments. The ES3 automatically generated and recorded the percentage of targets detected and the percentage of time spent scanning and fixating on targets. The results of this study (n=93) suggest that drivers with less experience and who self-reported having conditions scan the environment less frequently and effectively and are less able to locate high priority targets within the driving environment than drivers with more experience and without conditions. These findings suggest that the ES3 may be an effective screening or assessment tool for evaluating scanning performance for individuals with less driving-related experience as well as for those with disabilities that may impact driving, such as ASD and/or ADHD.

Additional Information

Publication

Thesis

Language: English

Date: 2023

Subjects

Occupational Therapy;ADD;ADHD;Scanning

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