scholarly journals Collecting response times using Amazon Mechanical Turk and Adobe Flash

2013 ◽  
Vol 46 (1) ◽  
pp. 95-111 ◽  
Author(s):  
Travis Simcox ◽  
Julie A. Fiez
PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249294
Author(s):  
Kaitlin McCormick-Huhn ◽  
Stephanie A. Shields

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.


2021 ◽  
Vol 74 ◽  
pp. 101728
Author(s):  
Carolyn M. Ritchey ◽  
Toshikazu Kuroda ◽  
Jillian M. Rung ◽  
Christopher A. Podlesnik

2011 ◽  
Vol 37 (2) ◽  
pp. 413-420 ◽  
Author(s):  
Karën Fort ◽  
Gilles Adda ◽  
K. Bretonnel Cohen

2015 ◽  
Vol 16 (S1) ◽  
Author(s):  
John WG Seamons ◽  
Marconi S Barbosa ◽  
Jonathan D Victor ◽  
Dominique Coy ◽  
Ted Maddess

Author(s):  
F. Jurčíček ◽  
S. Keizer ◽  
Milica Gašić ◽  
François Mairesse ◽  
B. Thomson ◽  
...  

2018 ◽  
Vol 141 (2) ◽  
Author(s):  
Christian E. Lopez ◽  
Scarlett R. Miller ◽  
Conrad S. Tucker

The objective of this work is to explore the possible biases that individuals may have toward the perceived functionality of machine generated designs, compared to human created designs. Toward this end, 1187 participants were recruited via Amazon mechanical Turk (AMT) to analyze the perceived functional characteristics of both human created two-dimensional (2D) sketches and sketches generated by a deep learning generative model. In addition, a computer simulation was used to test the capability of the sketched ideas to perform their intended function and explore the validity of participants' responses. The results reveal that both participants and computer simulation evaluations were in agreement, indicating that sketches generated via the deep generative design model were more likely to perform their intended function, compared to human created sketches used to train the model. The results also reveal that participants were subject to biases while evaluating the sketches, and their age and domain knowledge were positively correlated with their perceived functionality of sketches. The results provide evidence that supports the capabilities of deep learning generative design tools to generate functional ideas and their potential to assist designers in creative tasks such as ideation.


Author(s):  
Kenneth Nemire

This article describes the results of a survey intended as a preliminary assessment of consumer perceptions of the hazardousness of portable ladders and the warning labels provided on portable ladders. One hundred ten participants responded to an online survey tool called Amazon Mechanical Turk. The survey collected information about participants’ use of ladders, their ratings of familiarity with ladders, perceived hazardousness of portable ladders, and perception of warning labels on portable ladders. Results indicated a small but significant relationship between familiarity with ladders and their perceived hazardousness, and that participants thought that people should be warned about the hazards associated with ladder use. Implications for future research about consumer perception of portable ladder hazards and warnings are described.


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