meta analysis
Recently Published Documents


TOTAL DOCUMENTS

183420
(FIVE YEARS 111066)

H-INDEX

579
(FIVE YEARS 152)

Geoderma ◽  
2022 ◽  
Vol 411 ◽  
pp. 115694
Author(s):  
Yakun Zhang ◽  
Sai Peng ◽  
Xinli Chen ◽  
Han Y.H. Chen

2022 ◽  
Vol 11 (1) ◽  
pp. 1-33
Author(s):  
Alexander Diel ◽  
Sarah Weigelt ◽  
Karl F. Macdorman

The uncanny valley (UV) effect is a negative affective reaction to human-looking artificial entities. It hinders comfortable, trust-based interactions with android robots and virtual characters. Despite extensive research, a consensus has not formed on its theoretical basis or methodologies. We conducted a meta-analysis to assess operationalizations of human likeness (independent variable) and the UV effect (dependent variable). Of 468 studies, 72 met the inclusion criteria. These studies employed 10 different stimulus creation techniques, 39 affect measures, and 14 indirect measures. Based on 247 effect sizes, a three-level meta-analysis model revealed the UV effect had a large effect size, Hedges’ g = 1.01 [0.80, 1.22]. A mixed-effects meta-regression model with creation technique as the moderator variable revealed face distortion produced the largest effect size, g = 1.46 [0.69, 2.24], followed by distinct entities, g = 1.20 [1.02, 1.38], realism render, g = 0.99 [0.62, 1.36], and morphing, g = 0.94 [0.64, 1.24]. Affective indices producing the largest effects were threatening, likable, aesthetics, familiarity , and eeriness , and indirect measures were dislike frequency, categorization reaction time, like frequency, avoidance , and viewing duration . This meta-analysis—the first on the UV effect—provides a methodological foundation and design principles for future research.


Author(s):  
Hemali Harish Oza ◽  
Madison Gabriella Lee ◽  
Sophie Boisson ◽  
Frank Pega ◽  
Kate Medlicott ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document