ArticleBehavior research methods2020
A mobile approach-avoidance task.
Article in Behavior research methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Effectiveness of a smartphone-delivered Approach-Avoidance intervention in dietary behavior - a randomized controlled trial.The international journal of behavioral nutrition and physical activity · 2025Trial
- Smartphone-Based Approach-Avoidance Bias Modification Training for Depression: Randomized Clinical Trial.JMIR mHealth and uHealth · 2025Trial
- Smartphone-Based Approach-Avoidance Bias Modification for Alcohol Stimuli: Proof-of-Concept Study.JMIR formative research · 2026Article
- Role of the inferior frontal gyrus and impulsivity in approach motivation: A low-frequency repetitive transcranial magnetic stimulation study.Cognitive, affective & behavioral neuroscience · 2026Article
- Exploring Brain Dynamics Within the Approach-Avoidance Bias.Brain sciences · 2025Article
- Measuring Implicit Approach-Avoidance Tendencies Using Self-Depicting Body Pictures in Female Adults With Bulimia Nervosa, High Body Dissatisfaction and Healthy Controls.The International journal of eating disorders · 2025Article
- Theory-based strategies to enhance interventions for smoking: Relevance to a digital intervention.Behaviour research and therapy · 2025Review
- Measuring Experienced Utility in the Context of Health Economic Evaluation: A Narrative Overview.Health science reports · 2025Article
- Approach-Avoidance Bias in Virtual and Real-World Simulations: Insights from a Systematic Review of Experimental Setups.Brain sciences · 2025Review
- Approach-Bias Retraining and Other Training Interventions as Add-On in the Treatment of AUD Patients.Current topics in behavioral neurosciences · 2025Review
- How pre-processing decisions affect the reliability and validity of the approach-avoidance task: Evidence from simulations and multiverse analyses with six datasets.Behavior research methods · 2024Review
- Dissecting implicit food-related behaviors in Binge Eating Disorder and obesity: insights from a mobile approach-avoidance framework.Frontiers in psychology · 2024Article
- Measuring self-regulation in everyday life: Reliability and validity of smartphone-based experiments in alcohol use disorder.Behavior research methods · 2023Article
- Test-retest reliability of a smartphone-based approach-avoidance task: Effects of retest period, stimulus type, and demographics.Behavior research methods · 2023Article
- Modifying Pavlovian-to-instrumental transfer by approach avoidance training in healthy subjects: a proof of concept study.Scientific reports · 2023Article
- Article
- Same same, but different: A psychometric examination of three frequently used experimental tasks for cognitive bias assessment in a sample of healthy young adults.Behavior research methods · 2023Article
- Quantifying aberrant approach-avoidance conflict in psychopathology: A review of computational approaches.Neuroscience and biobehavioral reviews · 2023Review
- 'A circuit breaker' - Interrupting the alcohol autopilot: A qualitative exploration of participants' experiences of a personalised mHealth approach bias modification intervention for alcohol use.Addictive behaviors reports · 2022Article
- Measuring Implicit Approach-Avoidance Tendencies towards Food Using a Mobile Phone outside the Lab.Foods (Basel, Switzerland) · 2021Article
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Approach and avoidance tendencies have helped explain phenomena as diverse as addiction (Mogg, Field, & Bradley, 2005), phobia (Rinck & Becker, 2007), and intergroup discrimination (Bianchi, Carnaghi, & Shamloo, 2018; Degner, Essien, & Reichardt, 2016). When the original approach-avoidance task (AAT; Solarz, 1960) that measures these tendencies was redesigned to run on regular desktop computers, it made the task much more flexible but also sacrificed some important behavioral properties of the original task-most notably its reliance on physical distance change (Chen & Bargh, 1999). Here, we present a new, mobile version of the AAT that runs entirely on smartphones and combines the flexibility of modern tasks with the behavioral properties of the original AAT. In addition, it can easily be deployed in the field and, next to traditional reaction time measurements, includes the novel measurement of response force. In two studies, we demonstrate that the mobile AAT can reliably measure known approach-avoidance tendencies toward happy and angry faces both in the laboratory and in the field.
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