Date of this Version
Journal of Consumer Research
Our research explores new implicit measures of cognitive responses to advertisements that focus on detecting the effects of specific thoughts. We first demonstrate that consumers' thoughts about persuasive messages can be assessed by both a thought recognition task and a belief verification task. We also show that performance on these tasks (i.e., jointly observed responses, reaction times, and confidence ratings) can be modeled as Poisson counting processes. Finally, we illustrate the effectiveness of these new measures in predicting consumers' product attitudes and that these measures can outperform traditional thought listing when people are unwilling or unable to report certain thoughts.
This is a pre-copyedited, author-produced PDF of an article accepted for publication in the Journal of Consumer Research following peer review. The version of record [Huang, Y. & Hutchinson, J.W. Counting Every Thought: Implicit Measures of Cognitive Responses to Advertising. Journal of Consumer Research 35, no. 1: 98-118] is available online at: http://dx.doi.org/10.1086/527340.
advertising, cognitive processes, memory
Huang, Y., & Hutchinson, J. W. (2008). Counting Every Thought: Implicit Measures of Cognitive Responses to Advertising. Journal of Consumer Research, 35 (1), 98-118. http://dx.doi.org/10.1086/527340
Date Posted: 15 June 2018
This document has been peer reviewed.