The Uncanny Valley [From the Field]
By M. Mori, Karl Frederic MacDorman, Norri Kageki. IEEE Robotics Autom. Mag., 2012
2,410 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/98ab45160269f7c1545f7924f989d5da1895e9a5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Ofir Nachum
- Pushmeet Kohli
- Elizabeth Broadbent
- Ilya Sutskever
- Mario Botsch
- Alexei A. Efros
- Adam Lerer
- Ilya Kostrikov
In Mechanical Engineering
- Maura L. Scott
- Fiona Fui-Hoon Nah
- Elizabeth Broadbent
- Ilya Sutskever
- Keng Leng Siau
- Alexei A. Efros
- Gavriel Salvendy
- Ilya Kostrikov
Citations in the corpus
- Marketing robot services in hospitality and tourism: the role of anthropomorphism (2019, background): “Figure 2 ’ s bottom panel shows Uncanny Valley affective reactions (Belk, 2016; Broadbent, 2017; Mori, 1970; Mori et al., 2012).”
- Seven HCI Grand Challenges (2019, background): “Most virtual realities do not fully cross over the uncanny valley (Mori, MacDorman, & Kageki, 2012), but this is an issue that is expected to improve in the future.”
- Why and how to use virtual reality to study human social interaction: The challenges of exploring a new research landscape (2018, background): “The concept of the uncanny valley was introduced by Mori, MacDorman, and Kageki (2012) who suggested that there is a non-linear relationship between how human-like a robot or virtual character looks, and howpeople perceive it.”
- Empathy Is All You Need: How a Conversational Agent Should Respond to Verbal Abuse (2020, result): “Considering that the user evaluation of the counterattacking agent for anthropomorphism was the highest compared to the other CAs, the negative assessments of the counterattacking CA may be tied to Mori’s uncanny valley hypothesis that people generally feel negative feelings for very human-like obje”
- To Err Is Human(-oid): How Do Consumers React to Robot Service Failure and Recovery? (2020, background): “People tend to prefer a robot with a realistic humanlike face although not to a point where it looks almost the same as a real human (Mori 1970; Mori, MacDorman, and Kageki 2012).”
- A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism (2020, background): “Theories underlying technophobia (Brosnan, 1998) and the uncanny valley theory (Mori, 2012) should be consulted to better understand consumers’ and employees’ attitude toward intelligent machines in tourism service settings (Murphy et al., 2019).”
- Preference for robot service or human service in hotels? Impacts of the COVID-19 pandemic (2020, neutral): “Some research has encountered skepticism and potential issues regarding customers’ acceptance of robots (Io and Lee, 2020; Mori et al., 2012), while other studies have demonstrated positive reactions and visiting intentions relating to robot-serviced hotels (Ivanov et al.”
- Service Robots Rising: How Humanoid Robots Influence Service Experiences and Elicit Compensatory Consumer Responses (2019, background): “Supporting the idea of an uncanny valley (Mori, MacDorman, and Kageki 2012), we find that consumers respond more favorably to an HSR that is less (vs. more) human-like (Study 4).”
- Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective (2019, background): “Uncanny Valley: Sign language avatars are subject to an uncanny valley [86].”
- Highly automated job interviews: Acceptance under the influence of stakes (2019, neutral): “This finding might also indicate that perceptions of the virtual character in the current study were not affected by potential negative emotional effects caused by the uncanny valley (Kätsyri et al., 2015; Langer & König, 2018; Mori, 1970; Mori et al., 2012).”
- Fusion4D (2016, background): “For human bodies, even with extremely rich offline shape and pose models [Bogo et al. 2015], reconstructions can suffer from the effect of uncanny valley [Mori et al. 2012]; and clothing or hair can prove problematic [Bogo et al. 2015].”
- Learning a Discriminative Model for the Perception of Realism in Composite Images (2015, background): “So many things must be “just right” for a human to perceive an image as realistic, while a single thing going wrong will likely hurtle the image down into the Uncanny Valley [18].”