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Testing the Effectiveness of 3D Film for Laboratory-Based Studies of Emotion

Overview of attention for article published in PLOS ONE, August 2014
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Title
Testing the Effectiveness of 3D Film for Laboratory-Based Studies of Emotion
Published in
PLOS ONE, August 2014
DOI 10.1371/journal.pone.0105554
Pubmed ID
Authors

Daniel L. Bride, Sheila E. Crowell, Brian R. Baucom, Erin A. Kaufman, Caitlin G. O'Connor, Chloe R. Skidmore, Mona Yaptangco

Abstract

Research in psychology and affective neuroscience often relies on film as a standardized and reliable method for evoking emotion. However, clip validation is not undertaken regularly. This presents a challenge for research with adolescent and young adult samples who are exposed routinely to high-definition (HD) three-dimensional (3D) stimuli and may not respond to older, validated film clips. Studies with young people inform understanding of emotional development, dysregulated affect, and psychopathology, making it critical to assess whether technological advances improve the study of emotion. In the present study, we examine whether 3D film is more evocative than 2D using a tightly controlled within-subjects design. Participants (n  =  408) viewed clips during a concurrent psychophysiological assessment. Results indicate that both 2D and 3D technology are highly effective tools for emotion elicitation. However, 3D does not add incremental benefit over 2D, even when individual differences in anxiety, emotion dysregulation, and novelty seeking are considered.

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Mendeley readers

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The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 17%
Student > Ph. D. Student 8 14%
Student > Doctoral Student 7 12%
Researcher 7 12%
Student > Bachelor 5 8%
Other 10 17%
Unknown 12 20%
Readers by discipline Count As %
Psychology 23 39%
Medicine and Dentistry 5 8%
Agricultural and Biological Sciences 3 5%
Neuroscience 3 5%
Nursing and Health Professions 2 3%
Other 8 14%
Unknown 15 25%