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Moving beyond categorization to understand affective influences on real world health decisions
Author(s) -
Ferrer Rebecca A.,
Ellis Erin M.
Publication year - 2019
Publication title -
social and personality psychology compass
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.699
H-Index - 53
ISSN - 1751-9004
DOI - 10.1111/spc3.12502
Subject(s) - affect (linguistics) , categorization , categorical variable , psychology , cognition , cognitive psychology , social psychology , applied psychology , computer science , artificial intelligence , communication , machine learning , neuroscience
This paper provides an overview of affect and health decision‐making research, with a focus on identifying gaps, opportunities, and challenges to guide future research. We begin by defining common categorical distinctions of affective processes that influence health decisions: integral (i.e., related to the decision) and incidental (i.e., normatively unrelated to the decision) influences, and current (experienced in the moment) and anticipated (“cognitive representations” of future affect) affect. We then summarize key discoveries within the most common categories of affective influences on health decision making: current integral affect, current incidental affect, and anticipated integral affect. Finally, we highlight research gaps, challenges, and opportunities for future directions for research aimed at translating affective and decision science theory to improve our understanding of, and ability to intervene upon, health decision making.