A technology to measure multiple driving behaviors without self-report or participant reactivity.
An in-vehicle information system (IVIS) was used to videotape drivers (N = 61) without their knowledge while driving 22 miles in normal traffic. The drivers were told that they were participating in a study of direction following and map reading. Two data-coding procedures were used to analyze video...
| Published in: | Journal of Applied Behavior Analysis Vol. 34; no. 1; pp. 39 - 56 |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Published: |
Society for the Experimental Analysis of Behavior
Spring2001
|
| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=507767958&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507767958 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00218855 JAB jtl: Journal of Applied Behavior Analysis issn: 00218855 maglogo: N pubinfo: dt: Spring2001 vid: 34 iid: 1 pid: 508 pub: Society for the Experimental Analysis of Behavior artinfo: ui: 507767958 10.1901/jaba.2001.34-39 ppf: 39 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.1MB tig: atl: A technology to measure multiple driving behaviors without self-report or participant reactivity. aug: au: Boyce, Thomas E. Geller, E. Scott su: Risk Automobile drivers Human behavior Data acquisition systems Automobile driving sug: subj: Risk Automobile drivers Human behavior Data acquisition systems Automobile driving ab: An in-vehicle information system (IVIS) was used to videotape drivers (N = 61) without their knowledge while driving 22 miles in normal traffic. The drivers were told that they were participating in a study of direction following and map reading. Two data-coding procedures were used to analyze videotapes. Safety-related behaviors were counted during consecutive 15-s intervals of a driving trial, and the occurrence of certain safety-related behaviors was assessed under critical conditions. These two methods of data coding were assessed for practicality, reliability, and sensitivity. Interobserver agreement for the five different driving behaviors ranged from 85% to 95%. Within-subject variability in safe driving was more pronounced among younger drivers and decreased as a function of age. Contrary to previous research that has relied on self-reports, driver risk taking did not vary significantly as a function of gender. These results are used to illustrate the capabilities of the technology introduced here to design and evaluate behavior-analytic interventions to increase safe driving. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|