Emotional category data on images from the international affective picture system

By Joseph A. Mikels, Barbara L. Fredrickson, Gregory R. Larkin, Casey M. Lindberg, Sam J. Maglio, Patricia A. Reuter-Lorenz. Behavior Research Methods, 2005

703 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/11036a318e450effc32e6c0db5032cd8fd6a0674

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Citations in the corpus

Emotional facial expressions evoke faster orienting responses, but weaker emotional responses at neural and behavioural levels compared to scenes: A simultaneous EEG and facial EMG study (2016, positive): “Negative scenes were specifically selected based on a study by Mikels et al. (2005), which categorised IAPS stimuli into discrete emotion categories including fear.”
Disgust facilitates outgroup dehumanization (2013, methodology): “The induction consisted of viewing three photographs from the International Affective Picture System (IAPS; Lang, Bradley, & Cuthbert, 2005), a widely used stimuli set that has been standardized according to its emotional content (Mikels et al., 2005).”
Secrets and Lies: Involuntary Leakage in Deceptive Facial Expressions as a Function of Emotional Intensity (2011, methodology): “These images have been normed on emotional valence, arousal, and the discrete emotion type that they evoke in viewers (Mikels et al. 2005); images were selected based on these ratings.”
Would I lie to you? ''leakage'' in deceptive facial expressions relates to psychopathy and emotional intelligence (2011, neutral): “These images have been normed on emotional valence, arousal, and the discrete emotion type that they evoke in viewers (Mikels et al., 2005); images were selected based on these ratings.”
Inspired to Create: Awe Enhances Openness to Learning and the Desire for Experiential Creation (2018, neutral): “The advertisements were identical except for the featured image, which was of a known elicitor of awe (towering mountain), excitement (jumping downhill skier), or neutral states (skis as inanimate objects; Mikels et al. 2005).”
Introducing the Open Affective Standardized Image Set (OASIS) (2017, background): “1 Categorical affective ratings for the IAPS images are also available (Mikels et al., 2005).”
A Review on the Computational Methods for Emotional State Estimation from the Human EEG (2013, background): “The IAPS provides a set of normative pictures for emotional stimuli to induce emotional changes and attention levels [31].”
Affective image classification using features inspired by psychology and art theory (2010, methodology): “As was shown in [29] and many psychological studies [22, 21 ], choosing meaningful emotional categories is not an easy task and requires thorough consideration.”
A comparison of the discrete and dimensional models of emotion in music (2011, methodology): “To validate the stimulus material and to compare the conceptual frameworks, stimuli were needed to represent emotion concepts from both discrete and three-dimensional models in order to do justice to both (see Mikels et al., 2005 for a selection method aimed at discrete emotion categories).”
Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark (2016, methodology): “This data set is categorized into eight emotional categories as shown in Figure 1 in a study conducted in (Mikels et al. 2005).”
Self-report captures 27 distinct categories of emotion bridged by continuous gradients (2017, neutral): “The same is true of widely used affect-eliciting stimuli, such as the International Affective Picture System (54), and the Gross and Levenson ﬁlms (55).”
How Disgust Enhances the Effectiveness of Fear Appeals (2012, methodology): “The images were selected on the basis of published emotion ratings of the images (Mikels et al. 2005), similar to Chapman et al.”
Visual Fixation Durations and Saccade Amplitudes: Shifting Relationship in a Variety of Conditions (2008, methodology): “Applying the procedure suggested by Mikels et al. (2005) eighty pictures were selected from the categories fear, disgust, neutral and 8 DOI 10.16910/jemr.2.2.4 ISSN 1995-8692This article is licensed under a Creative Commons Attribution 4.0 International license. positive3.”
Experimental designs for identifying causal mechanisms (2013, background): “An advantage of this manipulation, compared to the use of a picture (Mikels et al., 2005) or films (Gross and Levenson, 1995), is that it gives researchers more control over the specific emotion being evoked and is very simple to implement.”
Discrete emotions predict changes in cognition, judgment, experience, behavior, and physiology: a meta-analysis of experimental emotion elicitations. (2011, background): “There have, however, been recent attempts to identify standardized sets of images that elicit discrete emotions (Mikels et al., 2005).”