Generalized multivariate lens model analysis for complex human inference tasks

1985 ◽  
Vol 35 (1) ◽  
pp. 46-72 ◽  
Author(s):  
Ray W Cooksey ◽  
Peter Freebody
Keyword(s):  
Model Analysis ◽  
Lens Model

Personality Impressions of World of Warcraft Players Based on Their Avatars and Usernames

2015 ◽  
Vol 7 (1) ◽  
pp. 58-73 ◽  
Author(s):  
Gabriella M. Harari ◽  
Lindsay T. Graham ◽  
Samuel D. Gosling
Keyword(s):  
Virtual Worlds ◽  
Role Playing ◽  
Model Analysis ◽  
World Of Warcraft ◽  
Accurate Information ◽  
Lens Model ◽  
Role Playing Games ◽  
The World ◽  
Massively Multiplayer

Every week an estimated 20 million people collectively spend hundreds of millions of hours playing massively multiplayer online role-playing games (MMORPGs). Here the authors investigate whether avatars in one such game, the World of Warcraft (WoW), convey accurate information about their players' personalities. They assessed consensus and accuracy of avatar-based impressions for 299 WoW players. The authors examined impressions based on avatars alone, and images of avatars presented along with usernames. The personality impressions yielded moderate consensus (avatar-only mean ICC = .32; avatar plus username mean ICC = .66), but no accuracy (avatar only mean r = .03; avatar plus username mean r = .01). A lens-model analysis suggests that observers made use of avatar features when forming impressions, but the features had little validity. Discussion focuses on what factors might explain the pattern of consensus but no accuracy, and on why the results might differ from those based on other virtual domains and virtual worlds.

A Lens model analysis of covariation research

1990 ◽  
Vol 3 (1) ◽  
pp. 47-59 ◽  
Author(s):  
Marlys Gascho Lipe
Keyword(s):  
Model Analysis ◽  
Lens Model

Lens Model Analysis of Hemodynamic Status in the Critically Ill

1989 ◽  
Author(s):  
Theodore Speroff ◽  
Alfred F. Connors ◽  
Neal V. Dawson
Keyword(s):  
Critically Ill ◽  
Model Analysis ◽  
Lens Model ◽  
Hemodynamic Status

scholarly journals The expression and recognition of emotions in the voice across five nations: A lens model analysis based on acoustic features.

2016 ◽  
Vol 111 (5) ◽  
pp. 686-705 ◽  
Author(s):  
Petri Laukka ◽  
Hillary Anger Elfenbein ◽  
Nutankumar S. Thingujam ◽  
Thomas Rockstuhl ◽  
Frederick K. Iraki ◽  
...  
Keyword(s):  
Model Analysis ◽  
Lens Model ◽  
Acoustic Features ◽  
Recognition Of Emotions ◽  
The Voice

Measuring Judgment Interaction with Displays and Automation

2002 ◽  
Vol 46 (3) ◽  
pp. 511-515
Author(s):  
Amy R. Pritchett ◽  
Ann M. Bisantz
Keyword(s):  
Collision Detection ◽  
Model Analysis ◽  
Automated System ◽  
Lens Model ◽  
Automated Systems ◽  
Human Judgment ◽  
Judgment Analysis ◽  
Main Effects ◽  
The Impact

Methodologies for assessing human judgment in complex domains are important for design of both displays that inform judgments and automated systems that suggest judgments. This paper applies n-system Lens Model methods for evaluating human judgments, examining the impact of displays, and assessing the similarity between human judgments and the judgment policies used by automated systems. First, the need for and concepts underlying, judgment analysis are outlined. Then the n-system Lens Model and its parameters are formally described. This model is then used to examine a study of aircraft collision detection examined previously using standard ANOVA methods. Our analysis found the same main effects as the earlier analysis. However, the n-system Lens Model analysis provided greater resolution regarding the information relied upon for judgments, the impact of displays on judgment, and the attributes of human judgments that are - and are not - similar to judgments produced by automated system

Dyad rapport and the accuracy of its judgment across situations: A lens model analysis.

1996 ◽  
Vol 71 (1) ◽  
pp. 110-129 ◽  
Author(s):  
Frank J. Bernieri ◽  
John S. Gillis ◽  
Janet M. Davis ◽  
Jon E. Grahe
Keyword(s):  
Model Analysis ◽  
Lens Model
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