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. Author manuscript; available in PMC: 2018 Sep 1.
Published in final edited form as: Accid Anal Prev. 2016 Aug 24;106:505–514. doi: 10.1016/j.aap.2016.08.020

Table 5.

Regression Models: Willingness to Use Other ADAS

Lane Departure Warning
Automatic Lane Maintain
Adaptive Cruise Control
Emergency Braking System
Self-Parking System
β R2 ΔR2 F β R2 ΔR2 F β R2 ΔR2 F β R2 ΔR 2 F β R2 ΔR2 F
Model 1 0.18 19.02*** 0.07 6.74* 0.03 2.87 0.01 0.496 0.004 0.31
Age 0.42*** 0.27* 0.18 0.08 0.06

Model 2 0.32 0.14 7.86*** 0.13 0.06 2.55* 0.19 0.16 3.76** 0.12 0.11 2.22 0.055 0.05 0.97
Age 0.43*** 0.33* 0.34* 0.27 0.1
Gender 0.09 0.13 0.15 0.12 0.16
Income 0.12 0.03 0.04 −0.08 0.037
Technology Efficacy 0.01 0.12 0.2 0.08 −0.08
Prior Familiarity 0.37*** 0.2 0.32** 0.3* 0.19

Model 3 0.38 0.06 4.34*** 0.21 0.08 1.82 0.28 0.09 2.71** 0.24 0.12 2.21* 0.11 0.06 0.85
Age 0.38** 0.29 0.32* 0.18 0.08
Gender 0.1 0.13 0.19 0.15 0.1
Income 0.11 −0.03 −0.01 −0.16 −0.004
Technology Efficacy 0.03 0.15 0.23 0.12 −0.06
Prior Familiarity .32** 0.17 0.27* 0.26* 0.17
Vision: Driving Factors Night/Dusk Driving & Perception Reaction Time 0.13 0.22 0.23* 0.34** 0.04
Instrument Panel Difficulties/Desire for Illumination −0.04 −0.004 −0.1 0.1 −0.01
Cabin Visual Obstructions 0.02 0.02 0.01 −0.08 0.12
Headlight Glare Issues 0.02 −0.06 −0.14 −0.01 0.03
Longitudinal/Latitudinal Driving Maintenance Issues −0.18 −0.18 −0.12 −0.12 −0.2
Unnoticed Vehicles & Poor Lighting −0.13 −0.03 −0.08 −0.05 0.04

Note:

*

<.05

**

<.01

***

<.001