scholarly journals COVID Compatibility and Risk Negotiation in Online Dating during the COVID-19 Pandemic

2021 ◽  
pp. 000276422110509
Author(s):  
Apryl A. Williams ◽  
Gabe H. Miller ◽  
Guadalupe Marquez-Velarde

We interviewed 31 individuals about their online dating life and behaviors during the COVID-19 pandemic. We use literature on risk and health behaviors to generate four frames for dealing with risk associated with COVID-19 while dating: 1) Unconcerned about Risk, 2) Preliminary Risk Assessment, 3) Active Risk Negotiation, and 4) Risk Aversion. Further, we argue that risk perception causes daters to use implicit and explicit communication about health behaviors to determine COVID compatibility, a state of being in agreement with a partner about how to best minimize risk of contracting COVID-19. Daters want to know that their partner is behaving with similar regard for health guidance and that they are doing their best to keep those in their communities safe. Though daters may transition between frames throughout the course of the pandemic, we use these four frames to identify sets of beliefs, routines, and personal health practices across our sample that have relevance for social scientists, health communication scholars, and health care practitioners.

2004 ◽  
Vol 188 (4) ◽  
pp. 448-449 ◽  
Author(s):  
Michelle C. Specht ◽  
Patrick I. Borgen ◽  
Jane Fey ◽  
Zi Zhang ◽  
Lisa Sclafani

1980 ◽  
Vol 9 (2) ◽  
pp. 149-156
Author(s):  
Elizabeth A. Ritchey

In order to justify teaching college-level personal health courses by methods other than the traditional lecture format, assessment of attitude change to ten selected health behaviors was undertaken. Methods compared included lecture, television taught classes, and self-instruction using mostly television. Following ten weeks of instruction it was found that the self-instructed method produced the most favorable change in attitudes toward behaviors generally considered conducive to good health.


2009 ◽  
Vol 33 (4) ◽  
pp. 289-295 ◽  
Author(s):  
M. Bazargan ◽  
M. Makar ◽  
S. Bazargan-Hejazi ◽  
C. Ani ◽  
K. E. Wolf

2021 ◽  
Author(s):  
Ruth Madigan ◽  
Yee Mun Lee ◽  
Natasha Merat

The successful deployment of automated vehicles (AVs) will depend on their capacity to travel within a mixed traffic environment, adopting appropriate interaction strategies across different scenarios. Thus, it is important to gain a detailed understanding of the specific types of interactions that are most likely to arise. The overall purpose of this paper was to present a methodology designed to facilitate the systematic observation of pedestrian-vehicle interactions, and to validate its use for both onsite and video based observations. A detailed observation protocol was developed to capture pedestrian and vehicle movement and communication patterns across four interaction phases. Onsite coders completed field observations of 50 pedestrian-vehicle interactions at a UK intersection, while video coders observed the same interactions recorded through a wireless camera mounted on a nearby rooftop. Results show that the observation protocol provides a reliable methodology for capturing patterns of pedestrian-vehicle interactions, with high levels of inter-coder consistency emerging across all categories of codes. A detailed examination of the specific descriptors selected suggests that onsite coding may be particularly beneficial in situations where the aim is to capture any explicit, and perhaps subtle, communication cues, whereas video based coding may be more appropriate in situations where exact sequences of behaviours or measurements of timings are desired. It is anticipated that this type of observation tool will be beneficial for AV developers to increase their understanding of how to interpret the movements of road users, along with increasing knowledge of when implicit and explicit communication techniques should be used.


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