A sender-message-receiver (SMeR) framework for communicating persuasive social norms - The case of climate change mitigation behavioral change.

This review delves into the nuanced boundary conditions of social norms in fostering behavior change within the realm of climate action. Current research is examined within a "Sender - Message - Receiver (SMeR)" framework, which investigates factors such as group identification and group size that influence the effectiveness of social norms. Furthermore, it explores how cultural context, personal norms, emotions, and ambiguity shape individuals' responses to social norms-based messages.

Limiting support for environmental policies: Unfairness is a more critical barrier than cost and ineffectiveness.

Costs and policy-specific beliefs, such as effectiveness and fairness, are central factors for supporting environmental taxes. Less is known about how much each of these factors is limiting support. Across four experiments, I investigate to which extent high costs, ineffectiveness, and unfairness constrain support for environmental taxes.

Hotels re-explored: Experience and influence of reciprocity and social normative appeals.

In this paper we report two high-powered and pre-registered experiments, testing the robustness and conceptual development of reciprocity and social norm appeals. Both experiments assessed both psychological processes for complying with these appeals and pro-environmental behavioral intention in tourism settings. In Experiment 1 (N = 2004), participants reported lower psychological reactance levels after learning that the hotel engaged in resource conservation (i.

Trust and stakeholder perspectives on the implementation of AI tools in clinical radiology.

Objectives: To define requirements that condition trust in artificial intelligence (AI) as clinical decision support in radiology from the perspective of various stakeholders and to explore ways to fulfil these requirements.

Methods: Semi-structured interviews were conducted with twenty-five respondents-nineteen directly involved in the development, implementation, or use of AI applications in radiology and six working with AI in other areas of healthcare. We designed the questions to explore three themes: development and use of AI, professional decision-making, and management and organizational procedures connected to AI.

Field interventions for climate change mitigation behaviors: A second-order meta-analysis.

Behavioral change is essential to mitigate climate change. To advance current knowledge, we synthesize research on interventions aiming to promote climate change mitigation behaviors in field settings. In a preregistered second-order meta-analysis, we assess the overall effect of 10 meta-analyses, incorporating a total of 430 primary studies.

Why are they eco-friendly? Attributing eco-friendly descriptive norms to intrinsic motivation increases pro-environmental purchase intention.

People perform pro-environmental behaviors not only out of intrinsic motivation, but also due to external factors such as expected social approval or financial gain. To the extent that people use their own motivations to infer the motivation of others, people may view descriptive norms favoring pro-environmental behavior as extrinsically motivated. This may in turn decrease the normative influence of the norm, as conformity can be negatively affected by perceptions that others are conforming mindlessly.

Police Decision-Making in the Absence of Evidence-Based Guidelines: Assessment of Alcohol-Intoxicated Eyewitnesses.

Regarding police procedures with alcohol-intoxicated witnesses, Swedish police officers have previously reported inconsistent and subjective decisions when interviewing these potentially vulnerable witnesses. Most officers have also highlighted the need for national policy guidelines aiding in conducting investigative interviews with intoxicated witnesses. The aims of the two studies presented here were to investigate whether (1) police officers' inconsistent interview decisions are attributable to a lack of research-based knowledge; (2) their decision to interview, as well as their perceptions of the witnesses' credibility could be influenced by scientific research; and (3) police officers decision-making and perceptions of witness credibility are biased by pre-existing social norms.

Experiencing a Severe Weather Event Increases Concern About Climate Change.

Climate change is primarily driven by human-caused greenhouse gas (GHG) emissions, and may therefore be mitigated by changes to human behavior (Clayton et al., 2015; IPCC, 2018). Despite efforts to raise awareness and concern about climate change, GHG emissions continue to rise (IPCC, 2018).

Regulating Emotional Responses to Climate Change - A Construal Level Perspective.

This experimental study ( = 139) examines the role of emotions in climate change risk communication. Drawing on Construal Level Theory, we tested how abstract vs. concrete descriptions of climate threat affect basic and self-conscious emotions and three emotion regulation strategies: changing oneself, repairing the situation and distancing oneself.

Contests versus Norms: Implications of Contest-Based and Norm-Based Intervention Techniques.

Interventions using either contests or norms can promote environmental behavioral change. Yet research on the implications of contest-based and norm-based interventions is lacking. Based on Goal-framing theory, we suggest that a contest-based intervention frames a gain goal promoting intensive but instrumental behavioral engagement.

Unlocking design potential: Design with people diagnosed with schizophrenia.

With the expansion of e-health systems to more diverse and heterogeneous contexts and user groups, it is increasingly important to include users in design. Designers recognize the benefits of user participation, but including users with lowered cognitive and social abilities can be difficult. This paper intends to answer how these users can participate in the design of e-health systems.