Title
Strain And Architecture-Tuned Reactivity In Ceria Nanostructures; Enhanced Catalytic Oxidation Of Co To Co 2
Keywords
human-robot interaction; physical characteristics; robot appearance; robot classification
Abstract
Ways in which people perceive machines as robots can influence their subsequent behavior and interactions. Individuals may make these classification decisions based solely on visual information, and thus the physical form of the entity alone. Participants viewed images of robots from a variety of identified domains and rated each image according to the extent to which they perceive the entity as a machine and the extent to which they viewed it as a robot. Findings suggest that images portraying greater anthropomorphic properties are classified as more robotic. Implications for robot design and trust are discussed. © 2012 IEEE.
Publication Date
5-22-2012
Publication Title
Chemistry of Materials
Volume
24
Number of Pages
1811-1821
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1021/cm3003436
Copyright Status
Unknown
Socpus ID
84861417311 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84861417311
STARS Citation
Sayle, Thi X.T.; Cantoni, Michelle; Bhatta, Umananda M.; Parker, Stephen C.; and Hall, Simon R., "Strain And Architecture-Tuned Reactivity In Ceria Nanostructures; Enhanced Catalytic Oxidation Of Co To Co 2" (2012). Scopus Export 2010-2014. 5323.
https://stars.library.ucf.edu/scopus2010/5323