scholarly journals The Background Context Condition for the Uncanny Valley Hypothesis

2018 ◽  
Vol 11 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Paweł Łupkowski ◽  
Marek Rybka ◽  
Dagmara Dziedzic ◽  
Wojciech Włodarczyk
2019 ◽  
Vol 15 (2) ◽  
Author(s):  
Dawid Ratajczyk ◽  
Marcin Jukiewicz ◽  
Pawel Lupkowski

Abstract The uncanny valley (UV) hypothesis suggests that the observation of almost human-like characters causes an increase of discomfort. We conducted a study using self-report questionnaire, response time measurement, and electrodermal activity (EDA) evaluation. In the study, 12 computer-generated characters (robots, androids, animated, and human characters) were presented to 33 people (17 women) to (1) test the effect of a background context on the perception of characters, (2) establish whether there is a relation between declared feelings and physiological arousal, and (3) detect the valley of the presented stimuli. The findings provide support for reverse relation between human-likeness and the arousal (EDA). Furthermore, a positive correlation between EDA and human-likeness appraisal reaction time upholds one of the most common explanations of the UV – the categorization ambiguity. The absence of the significant relationship between declared comfort and EDA advocates the necessity of physiological measures for UV studies.


2020 ◽  
Author(s):  
Christopher Welker ◽  
David France ◽  
Alice Henty ◽  
Thalia Wheatley

Advances in artificial intelligence (AI) enable the creation of videos in which a person appears to say or do things they did not. The impact of these so-called “deepfakes” hinges on their perceived realness. Here we tested different versions of deepfake faces for Welcome to Chechnya, a documentary that used face swaps to protect the privacy of Chechen torture survivors who were persecuted because of their sexual orientation. AI face swaps that replace an entire face with another were perceived as more human-like and less unsettling compared to partial face swaps that left the survivors’ original eyes unaltered. The full-face swap was deemed the least unsettling even in comparison to the original (unaltered) face. When rendered in full, AI face swaps can appear human and avoid aversive responses in the viewer associated with the uncanny valley.


2014 ◽  
Author(s):  
Jessy Rose Goodman
Keyword(s):  

2019 ◽  
Vol 30 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Seo Young Kim ◽  
Bernd H. Schmitt ◽  
Nadia M. Thalmann
Keyword(s):  

2015 ◽  
Vol 24 (1) ◽  
pp. 1-23 ◽  
Author(s):  
Himalaya Patel ◽  
Karl F. MacDorman

Just as physical appearance affects social influence in human communication, it may also affect the processing of advice conveyed through avatars, computer-animated characters, and other human-like interfaces. Although the most persuasive computer interfaces are often the most human-like, they have been predicted to incur the greatest risk of falling into the uncanny valley, the loss of empathy attributed to characters that appear eerily human. Previous studies compared interfaces on the left side of the uncanny valley, namely, those with low human likeness. To examine interfaces with higher human realism, a between-groups factorial experiment was conducted through the internet with 426 midwestern U.S. undergraduates. This experiment presented a hypothetical ethical dilemma followed by the advice of an authority figure. The authority was manipulated in three ways: depiction (digitally recorded or computer animated), motion quality (smooth or jerky), and advice (disclose or refrain from disclosing sensitive information). Of these, only the advice changed opinion about the ethical dilemma, even though the animated depiction was significantly eerier than the human depiction. These results indicate that compliance with an authority persists even when using an uncannily realistic computer-animated double.


Cognition ◽  
2014 ◽  
Vol 130 (3) ◽  
pp. 271-277 ◽  
Author(s):  
Lukasz Piwek ◽  
Lawrie S. McKay ◽  
Frank E. Pollick

2011 ◽  
Vol 7 (4) ◽  
pp. 413-422 ◽  
Author(s):  
Ayse Pinar Saygin ◽  
Thierry Chaminade ◽  
Hiroshi Ishiguro ◽  
Jon Driver ◽  
Chris Frith

2012 ◽  
pp. 275-316
Author(s):  
Kevin D. Burton
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document