This study investigated how human likeness (human-like vs. avatar-like) and agency (avatar vs. agent) interact to determine source credibility and the intention to interact with virtual influencers. The results revealed that human likeness significantly influenced three types of source credibility (attractiveness, trustworthiness, and expertise) and interaction intention. However, the agency of virtual influencers did not have a significant impact. Notably, the automated virtual influencer (i.e., the agent condition) was perceived to be more attractive and trustworthy and elicited higher interaction intention than the influencer operated by a human (i.e., the avatar condition). However, this relationship was observed only in the avatar-like condition. Thus, agency moderated the indirect relationship between human likeness and interaction through attractiveness and trustworthiness. Finally, the theoretical and practical implications of the findings and ideas for future research are discussed.
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http://dx.doi.org/10.1089/cyber.2023.0060 | DOI Listing |
Importance: Inequitable access to transplant in the US is well recognized, yet the nature and extent of upstream disparities in care prior to transplant are unknown.
Objective: To understand patterns of referral for lung transplant by race, ethnicity, and neighborhood-level socioeconomic status.
Design, Setting, And Participants: This retrospective cohort study included adults aged 18 to 80 years with obstructive and restrictive lung disease from a single large-volume transplant center in Cleveland, Ohio, who were diagnosed between January 1, 2006, and May 11, 2023.
Transl Vis Sci Technol
March 2025
Department of Ophthalmology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Purpose: To examine the association of race, ethnicity, and other social determinants of health (SDH) on receipt of optic nerve (ON) evaluation in accordance with National Quality Forum (NQF) and the American Academy of Ophthalmology (AAO) guideline-based metrics.
Methods: This was a retrospective cohort study consisting of 13,582 patients with POAG receiving care across 12 tertiary care health. The odds of receiving ≥1 ON evaluations to monitor for glaucoma progression over 45 months of follow-up was evaluated.
J Agric Saf Health
October 2024
Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, Indiana, USA.
Highlights: The purpose of this research was to validate a test procedure for using commercially available smart technologies in detecting an agricultural-related incident. A convenient selection of commercially available wearable devices was used to measure the inertial qualities of simulated incidents. Simulated ejections, falls, and upsets were performed to recreate leading causes of agricultural injuries and fatalities using an anthropomorphic test device.
View Article and Find Full Text PDFJ Agric Saf Health
May 2024
Agricultural and Biological Engineering, Purdue University, West Lafayette, Indiana, USA.
Highlights: 29 recent agricultural-related fatalities or injuries occurring throughout the state of Indiana were analyzed using geospatial incident analysis. Proximity of each incident to nearby cellular towers was found through 5 and 10-mile spatial joins by their relationship with cellular towers, with no towers most likely to be found within 5 miles of a given incident and only one tower to be found within 10 miles of a given incident. Proximity of each incident to emergency services and the nearest hospital was performed through 5 and 10-mile spatial joins, with only one service provider most likely to be within the five-mile range of a given incident.
View Article and Find Full Text PDFJ Agric Saf Health
May 2024
Department of Biological and Agricultural Engineering, University of California, Davis, California, USA.
Highlights: Off-road ATV incidents can be problematic due to long EMS alert times. An ATV crash-detection-and-report system is expected to reduce EMS response time. The developed system can accurately detect ATV rollovers.
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