The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Revisiting the uncanny valley theory: Developing and validating an alternative to the Godspeed indices
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266
Universal dimensions of social cognition: warmth and competence
Fiske, S. T., Cuddy, A. J. C., & Glick, P. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.11.005 · Cited by 4,567
Bartneck, C., Kulić, D., Croft, E., & Zoghbi, S. (2009) · International Journal of Social Robotics · doi:10.1007/s12369-008-0001-3 · Cited by 3,193
Maxims or myths of beauty? A meta-analytic and theoretical review
Langlois, J. H., Kalakanis, L., Rubenstein, A. J., Larson, A., Hallam, M., & Smoot, M. (2000) · Psychological Bulletin · doi:10.1037/0033-2909.126.3.390 · Cited by 2,429 · cited 1×
“There is an extensive literature exploring the evolutionary and cultural basis for perceptions of attractiveness and their pervasive impact on human behavior (Cunningham, Roberts, Barbee, Druen, & Wu, 1995; Jones, 1995; Langlois et al., 1987; Langlois et al., 2000).”
BackgroundToo real for comfort? Uncanny responses to computer generated faces
MacDorman, K. F., Green, R. D., Ho, C.-C., & Koch, C. T. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2008.12.026 · Cited by 533
Self-citationSproull, L., Subramani, M., Kiesler, S., Walker, J., & Waters, K. (1996) · Human-Computer Interaction · doi:10.1207/s15327051hci1102_1 · Cited by 399
Jabbi, M., Bastiaansen, J., & Keysers, C. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002939 · Cited by 362
Cited by
Human trust in artificial intelligence: Review of empirical research
Glikson, E., & Woolley, A. W. (2020) · Academy of Management Annals · doi:10.5465/annals.2018.0057 · Cited by 2,921
Blut, M., Wang, C., Wünderlich, N. V., & Brock, C. (2021) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-020-00762-y · Cited by 1,194
Adoption of AI-based chatbots for hospitality and tourism
Pillai, R., & Sivathanu, B. (2020) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-04-2020-0259 · Cited by 986
The Robotic Social Attributes Scale (RoSAS): Development and Validation
Carpinella, C. M., Wyman, A. B., Perez, M. A., & Stroessner, S. J. (2017) · Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction · doi:10.1145/2909824.3020208 · Cited by 569
Authentically Fake? How Consumers Respond to the Influence of Virtual Influencers
Lou, C., Kiew, S. T. J., Chen, T., Lee, T. Y. M., Ong, J. E. C., & Phua, Z. (2023) · Journal of Advertising · doi:10.1080/00913367.2022.2149641 · Cited by 506
Metadata
- Authors
- Ho, C.-C., & MacDorman, K. F.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2010-11
- Volume
- 26
- Issue
- 6
- Pages
- 1508-1518
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2018916919
- Cited by
- 495
- References
- 7
- FWCI
- 8.42
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
