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Automatic Processing and Automatic Social Behavior

Automatic Processing and Automatic Social Behavior

Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...

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Evidence Regarding Automatic Processing Computerized Tasks Designed For Health Interventions in Real-World Settings

Harshani Jayasinghe¹, Camille E Short², Annette Braunack-Mayer³

¹School of Public Health, The University of Adelaide, Adelaide, Australia.

Journal of Medical Internet Research

|June 6, 2020

Summary

This review shows automatic processing tasks, often delivered online, can effectively change behavior in adults for psychological health. While research is limited, these digital tools hold promise for real-world interventions.

Keywords:

adult automatic processing behavior change, mobile phone computerized tasks health interventions real-world

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Area of Science:

Psychology
Behavioral Science
Digital Health

Background:

Dual process theories distinguish between fast, automatic and slow, reflective thinking.
Digital health interventions often focus on reflective processing, neglecting the impact of automatic processing on behavior.
Translating laboratory findings on automatic processing to real-world digital interventions requires further investigation.

Purpose of the Study:

To explore the effectiveness of automatic training tasks in digital psychological health interventions for adults in real-world settings.
To identify common training task types, delivery modes, and the impact of gamification.
To synthesize existing evidence on automatic processing tasks for behavior change.

Main Methods:

A scoping review methodology was employed, utilizing electronic and gray literature databases.
Searches included terms like "automatic processing," "computerised technologies," "health intervention," "real-world," and "adults."
The review encompassed studies published up to September 2018 and included manual reference list searches.

Main Results:

Fourteen studies met the inclusion criteria, targeting conditions like alcohol abuse and social anxiety.
Attention bias modification tasks delivered via personal computers were most common.
Eight studies showed significant changes in automatic processes, and four demonstrated significant behavioral changes.

Conclusions:

This is the first review to synthesize evidence on automatic processing tasks in real-world digital health interventions for adults.
Findings indicate that automatic processing tasks show promise for influencing behavior change in real-world settings.
Further research is needed to fully understand the design, implementation, and delivery of these interventions.