The emotion storyboard: A method to examine social judgments of emotion

As perceivers, we need to understand context to make social judgments about emotion, such as judging whether emotion is appropriate. We propose a graphic novel-like method, the emotion storyboard, for use in research on social judgments of emotion. Across two studies, participants were randomly assigned to read emotion storyboards or written vignettes to compare the efficacy of the emotion storyboard to that of vignettes in studies on social judgments of emotion. In Study 1, undergraduates (N = 194) answered comprehension questions and rated story clarity and immersion. Participants also made social judgments of emotion by rating main character emotion control and appropriateness of intensity. To further compare the efficacy of the methods, in Study 2, Amazon Mechanical Turk workers (N = 213) answered comprehension questions while response times were recorded, rated clarity, answered a race manipulation check, and rated main character emotion type appropriateness. Overall, emotion storyboards resulted in greater clarity ratings, greater race manipulation check accuracy, and in some instances, enhanced comprehension and comprehension response times relative to vignettes. In emotion storyboards, main character emotion was rated more controlled and more appropriate in intensity, but not different in emotion type appropriateness, than in vignettes. Overall, the method offers a new method of examining social elements of emotion that enhances comprehension and maximizes experimental efficiency.

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Using MTurk to Distribute a Survey or Experiment: Methodological Considerations

Journal of Information Systems ◽

10.2308/isys-52021 ◽

2018 ◽

Vol 33 (1) ◽

pp. 43-65 ◽

Cited By ~ 9

Author(s):

Nicholas C. Hunt ◽

Andrea M. Scheetz

Keyword(s):

Mechanical Turk ◽

Amazon Mechanical Turk ◽

Alternative Methods ◽

Technical Knowledge ◽

Data Validation ◽

High Quality ◽

Manipulation Check ◽

Screening Questions ◽

Methodological Considerations ◽

Firsthand Experience

ABSTRACT Amazon Mechanical Turk (MTurk) is a powerful tool that is more commonly being used to recruit behavioral research participants for accounting research. This manuscript provides practical and technical knowledge learned from firsthand experience to help researchers collect high-quality, defendable data for research purposes. We highlight two issues of particular importance when using MTurk: (1) accessing qualified participants, and (2) validating collected data. To address these issues, we discuss alternative methods of carrying out screens and different data validation techniques researchers may want to consider. We also demonstrate how some of the techniques discussed were implemented for a recent data collection. Finally, we contrast the use of unpaid screens with merely putting participation requirements in the MTurk instructions to examine the effectiveness of using screens. We find that screening questions significantly reduce the number of manipulation check failures as well as significantly increase the usable responses per paid participant.

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Collecting response times using Amazon Mechanical Turk and Adobe Flash

Behavior Research Methods ◽

10.3758/s13428-013-0345-y ◽

2013 ◽

Vol 46 (1) ◽

pp. 95-111 ◽

Cited By ~ 39

Author(s):

Travis Simcox ◽

Julie A. Fiez

Keyword(s):

Response Times ◽

Mechanical Turk ◽

Amazon Mechanical Turk ◽

Adobe Flash

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Attributions About Bereaved Spouses: Testing the Myths of Coping With Loss

OMEGA - Journal of Death and Dying ◽

10.1177/0030222819890974 ◽

2019 ◽

pp. 003022281989097

Author(s):

Julie Kahler ◽

Anthony Papa ◽

Emerson Epstein ◽

Crissa Levin

Keyword(s):

Social Networks ◽

Mechanical Turk ◽

Amazon Mechanical Turk ◽

Social Expectations ◽

Social Judgments ◽

Convenience Sample ◽

Support Providers ◽

Cultural Assumptions

Social expectations influence how we cope with loss and how people in our social networks respond to us. Wortman and Silver outlined Western cultural assumptions, or myths, about mourning, thought to influence judgments of one’s grief response. In particular, the two myths hypothesized to affect social judgments about grievers’ adjustment were related to (a) the intensities of the grief response and (b) the duration of the grief response. We assessed if these myths affected the attributions of potential support providers in a convenience sample of 510 Amazon Mechanical Turk community participants. The results indicated preheld expectancies that expressing and processing loss is important to recover from grief was related to attributions about the adjustment of spousally bereaved grievers in vignettes. However, any level of grief symptoms displayed in vignettes was associated with participants, indicating they would discourage expression of grief and distance themselves from the person grieving.

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