From Warning Messages to Preparedness Behavior: The Role of Risk Perception and Information Interaction in the Covid-19 Pandemic

2022 ◽  
Author(s):  
Yanan Guo ◽  
Shi An ◽  
Tina Comes
Author(s):  
I-Chieh Michelle Yang

This conceptual paper proposes a new research agenda in travel risk research by understanding the role of affect. Extant scholarship tends to focus on travel risk perception or assessment as a cognitive psychological process. However, despite the phenomenal growth of the tourism industry globally, research related to travel risk perception remains stagnant with no significant breakthrough. Drawing on the existing empirical evidences in risk-related research, this paper asserts that affect plays a potent role in influencing travel risk perception – positive affect leads to more positive travel risk perception, vice versa. In this paper, existing empirical evidences and theories are presented to provide support for this proposition.


Author(s):  
Wai-Tat Fu ◽  
Jessie Chin ◽  
Q. Vera Liao

Cognitive science is a science of intelligent systems. This chapter proposes that cognitive science can provide useful perspectives for research on technology-mediated human-information interaction (HII) when HII is cast as emergent behaviour of a coupled intelligent system. It starts with a review of a few foundational concepts related to cognitive computations and how they can be applied to understand the nature of HII. It discusses several important properties of a coupled cognitive system and their implication to designs of information systems. Finally, it covers how levels of abstraction have been useful for cognitive science, and how these levels can inform design of intelligent information systems that are more compatible with human cognitive computations.


AMBIO ◽  
2021 ◽  
Author(s):  
Carl C. Anderson ◽  
Fabrice G. Renaud

AbstractNature-based solutions (NbS) are increasingly recognized as sustainable approaches to address societal challenges. Disaster risk reduction (DRR) has benefited by moving away from purely ‘grey’ infrastructure measures towards NbS. However, this shift also furthers an increasing trend of reliance on public acceptance to plan, implement and manage DRR measures. In this review, we examine how unique NbS characteristics relate to public acceptance through a comparison with grey measures, and we identify influential acceptance factors related to individuals, society, and DRR measures. Based on the review, we introduce the PA-NbS model that highlights the role of risk perception, trust, competing societal interests, and ecosystem services. Efforts to increase acceptance should focus on providing and promoting awareness of benefits combined with effective communication and collaboration. Further research is required to understand interconnections among identified factors and how they can be leveraged for the success and further uptake of NbS.


Author(s):  
Huaiyuan Zhai ◽  
Mengjie Li ◽  
Shengyue Hao ◽  
Mingli Chen ◽  
Lingchen Kong

The accident rate is high in subway maintenance work, and most of the accidents are caused by human factors, especially the lack of sensitivity to risk perception, the lack of rigorous attitude towards safety and the lack of safe citizenship behavior (SCB). Therefore, it is very important to study the risk perception (RP), safety attitude (SA) and SCB of metro maintenance staff in order to reduce the accident rate. In order to reduce human errors and accidents, this study analyzed the influence of metro maintenance staff’s RP on their SCB and the mediating role of SA. Based on previous studies, this paper uses the risk perception scale, safety attitude scale and safety citizenship behavior scale as research tools. A survey was administered at the Subway Company, and altogether 268 valid questionnaires were used, and the data were analyzed by SPSS19.0 (IBM, Armonk, NY, USA) and AMOS 24.0 (IBM, Armonk, New York, NY, USA). The result reveals that SA plays a complete mediating role between metro maintenance staff’s RP and their SCB; and SA has a positive influence on SCB; RP has a positive influence on SA; and SA positively predicts SCB.


2021 ◽  
pp. 002214652110444
Author(s):  
Orlaith Heymann ◽  
Tamika Odum ◽  
Alison H. Norris ◽  
Danielle Bessett

Recent shifts in the abortion provision landscape have generated increased concern about how people find abortion care as regulations make abortion less accessible and clinics close. Few studies examine the reasons that people select particular facilities in such constrained contexts. Drawing from interviews with 41 Ohio residents, we find that people’s clinic selections are influenced by the risks they associate with abortion care. Participants’ strategies for selecting an abortion clinic included: drawing on previous experience with clinics, consulting others online, discerning reputation through name recognition and clinic type, and considering location, especially perceptions about place (privacy, legality, safety). We argue that social myths inform the risks people anticipate when seeking health care facilities, shaping care seeking in ways that are both abortion-specific and more general. These findings can also inform research in other health care contexts where patients increasingly find their options constrained by rising costs, consolidation, and facility closure.


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