MTurk research: Review and recommendations

H Aguinis, I Villamor, RS Ramani - Journal of management, 2021 - journals.sagepub.com
The use of Amazon's Mechanical Turk (MTurk) in management research has increased over
2,117% in recent years, from 6 papers in 2012 to 133 in 2019. Among scholars, though …

A review of experiments in tourism and hospitality

G Viglia, S Dolnicar - Annals of Tourism Research, 2020 - Elsevier
Well-designed and executed experiments prove cause-and-effect relationships. The ability
to draw causal conclusions is critical to knowledge development in any field of research. In …

[HTML][HTML] Development of the “Scale for the assessment of non-experts' AI literacy”–An exploratory factor analysis

MC Laupichler, A Aster, N Haverkamp… - Computers in Human …, 2023 - Elsevier
Artificial Intelligence competencies will become increasingly important in the near future.
Therefore, it is essential that the AI literacy of individuals can be assessed in a valid and …

Comparing attentional disengagement between Prolific and MTurk samples

DA Albert, D Smilek - Scientific Reports, 2023 - nature.com
Attention often disengages from primary tasks in favor of secondary tasks (ie, multitasking)
and task-unrelated thoughts (ie, mind wandering). We assessed whether attentional …

Gorilla in our midst: An online behavioral experiment builder

AL Anwyl-Irvine, J Massonnié, A Flitton… - Behavior research …, 2020 - Springer
Behavioral researchers are increasingly conducting their studies online, to gain access to
large and diverse samples that would be difficult to get in a laboratory environment …

[HTML][HTML] Prolific. ac—A subject pool for online experiments

S Palan, C Schitter - Journal of behavioral and experimental finance, 2018 - Elsevier
The number of online experiments conducted with subjects recruited via online platforms
has grown considerably in the recent past. While one commercial crowdworking platform …

When do you trust AI? The effect of number presentation detail on consumer trust and acceptance of AI recommendations

J Kim, M Giroux, JC Lee - Psychology & Marketing, 2021 - Wiley Online Library
When do consumers trust artificial intelligence (AI)? With the rapid adoption of AI technology
in the field of marketing, it is crucial to understand how consumer adoption of the information …

From patches to pictures (PaQ-2-PiQ): Map** the perceptual space of picture quality

Z Ying, H Niu, P Gupta, D Mahajan… - Proceedings of the …, 2020 - openaccess.thecvf.com
Blind or no-reference (NR) perceptual picture quality prediction is a difficult, unsolved
problem of great consequence to the social and streaming media industries that impacts …

The effect of face masks and sunglasses on identity and expression recognition with super-recognizers and typical observers

E Noyes, JP Davis, N Petrov… - Royal Society open …, 2021 - royalsocietypublishing.org
Face masks present a new challenge to face identification (here matching) and emotion
recognition in Western cultures. Here, we present the results of three experiments that test …

The unreasonable effectiveness of deep features as a perceptual metric

R Zhang, P Isola, AA Efros… - Proceedings of the …, 2018 - openaccess.thecvf.com
While it is nearly effortless for humans to quickly assess the perceptual similarity between
two images, the underlying processes are thought to be quite complex. Despite this, the …