ArticleThe Psychological record2019
A Behavioral Economic Analysis of Demand for Texting while Driving.
Article in The Psychological record, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Twenty-five years of simulated demand: A bibliometric and systematic review of hypothetical drug purchase tasks.Journal of the experimental analysis of behavior · 2026Pooled it
- A hierarchical cluster analysis of young drivers based on their perceived risk and frequency of texting while driving.Journal of safety research · 2023Article
- A behavioral economic demand analysis of mothers' decision to exclusively breastfeed in the workplace.Journal of the experimental analysis of behavior · 2022Article
- Applying Mixed-Effects Modeling to Behavioral Economic Demand: An Introduction.Perspectives on behavior science · 2021Article
- Analysis of Driving Behavior Based on Dynamic Changes of Personality States.International journal of environmental research and public health · 2020Article
- Threat appeals reduce impulsive decision making associated with texting while driving: A behavioral economic approach.PloS one · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The overarching goal of the present study was to determine whether a behavioral economic framework of demand analysis is applicable to texting while driving. To this end, we developed a novel hypothetical task designed to quantify the intensity and elasticity of the demand for social interaction from texting while driving. This task involved a scenario in which participants receive a text message while driving, and they rated the likelihood of replying to a text message immediately versus waiting to reply until arriving at a destination when the amounts of a fine for texting while driving ranged from $1 to $300. To assess the construct validity of the task, the scenario presented two delays to a destination (15 min and 60 min). The demand for social interaction from texting was more intense (greater at the lowest amount of the fine) and less elastic (less sensitive to the increase in the amounts of the fine) for drivers who self-reported a higher frequency of texting while driving than for those who self-reported a lower frequency of texting while driving. Demand was also more intense and less elastic under the 60-min delay condition than under the 15-min condition. The results of this proof-of-concept study suggest that behavioral economic demand analyses are potentially useful for understanding and predicting texting while driving.
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Registered trials
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