Evidence map›Paper›PMID 27567729›Full record

ArticleAccident; analysis and prevention2017

Valuation of active blind spot detection systems by younger and older adults.

Dustin J Souders, Ryan Best, Neil Charness

Abstract read
In one paragraph

Article in Accident; analysis and prevention, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Age-Related Diseases and Driving Safety.Geriatrics (Basel, Switzerland) · 2020
    Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dustin J SoudersFlorida State University, United states. Electronic address: souders@psy.fsu.edu.
Ryan BestFlorida State University, United states.
Neil CharnessFlorida State University, United states.

Funding

Understanding Issues Surrounding Technology Uptake and the Influence of Technology and Decision Making in Older AdultsP01AG017211 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI CZAJA, SARA J · 1999 to 2019
$26.6M
NIA NIH HHS P01 AG017211
6 · The paper itself

Abstract

Due to their disproportional representation in fatal crashes, younger and older drivers both stand to benefit from in-vehicle safety technologies, yet little is known about how they value such technologies, or their willingness to adopt them. The current study investigated older (aged 65 and greater; N=49) and younger (ages 18-23; N=40) adults' valuation of a blind spot monitor and asked if self-reported visual difficulties while driving predicted the amount participants were willing to pay for a particular system (BMW's Active Blind Spot Detection System) that was demonstrated using a short video. Large and small anchor values ($250 and $500, respectively) were used as between subjects manipulations to examine the effects of initial valuation, and participants proceeded through a short staircase procedure that offered them either the free installation of the system on their current vehicle or a monetary prize ($25-$950) that changed in value according to which option they had selected in the previous step of the staircase procedure. Willingness to use other advanced driver assistance systems (lane-departure warning, automatic lane centering, emergency braking, adaptive cruise control, and self-parking systems) was also analyzed, additionally controlling for prior familiarity of those systems. Results showed that increased age was associated with a higher valuation for the Active Blind Spot Detection System in both the large and small anchor value conditions controlling for income, gender, and technology self-efficacy. Older adults valued blind spot detection about twice as much ($762) as younger adults ($383) in the large anchor condition, though both groups' values were in the range for the current cost of an aftermarket system. Similarly, age was the most robust positive predictor of willingness to adopt other driving technologies, along with system familiarity. Difficulties with driving-related visual factors also positively predicting acceptance levels for adaptive cruise control and emergency braking systems. Results are discussed in comparison to older adults' willingness to pay for other home-based assistive technologies aimed at improving well-being and independence.

Indexed as

Accidents, TrafficAdultAgedAged, 80 and overAge FactorsAgingAutomobile DrivingDecision MakingFemaleHumansMaleProtective DevicesSelf ReportTechnologyYoung AdultAdvanced driver assistance systemsOlder adultsSelf-reported visionTechnology adoptionValuation

Identifiers

PMID27567729
PMCPMC5325821

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.