Optimizing Warnings on E-Cigarette Advertisements.

ABSTRACT:

Introduction

We examined the effect of visual optimizations on warning text recall.

Methods

We used Amazon's Mechanical Turk to recruit 1854 young adult (18-34 years) electronic cigarette (e-cigarette) users or susceptible nonusers. We conducted a between-subjects 3 × 2 × 2 experiment to examine the influence of color (black text on white background [BW] vs. black on yellow [BY] vs. yellow on black [YB]), shape (rectangle vs. novel), and signal word (presence vs. absence of the word "warning"). We randomized participants to view one of 12 warnings on a fictional e-cigarette advertisement. We coded open-ended recall responses into three categories: (1) recalled nothing, (2) recalled something, (3) recalled the concept. We examined main effects on warning text recall using mul

SUBMITTER: King JL 

PROVIDER: S-EPMC7171273 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature