Communicating COVID-19 risk changes: Signalling with words, phrases, and messages.

During COVID-19, governments issued messages to trigger action, encourage sustained behaviours (e.g., social distancing, hand hygiene), and manage system wide risk. This study examines messages issued across two stages established by the World Health Organization (WHO): (a) pre-pandemic early intervention stage and (b) within-pandemic escalation stage. In April 2020, approximately one month after COVID-19 was declared a pandemic, an experiment using a sample of 769 Australian participants was conducted. Using a between-subject design, participants assessed the way messages (curated and then expertly attributed to the two stages) were perceived and influenced behaviours. Next, it examined the power of words and phrases, selected from the same messages, for (a) their potential to signal risk, warning, and behavioural response and (b) the extent to which they reflected pandemic stages. Results showed that between the two stages, messages were differentiated by negative affect, assertiveness, and risk. Subsequently, increased negative affect, assertiveness, and risk indication increased adaptive behavioural intentions. However, increased assertiveness also increased non-adaptive behavioural intentions, though increased risk indication reduced non-adaptive behavioural intentions. Signal words and phrases, which hold potential as iconic features for biological hazard messages, showed varying performance across message stages, indicating an opportunity to improve them. Taken together, the findings contribute to academic and policy approaches for adapting communication to changing risk.

Why consumers misattribute sponsorships to non-sponsor brands: Differential roles of item and relational communications.

Brands engaged in sponsorship of events commonly have objectives that depend on consumer memory for the sponsor-event relationship (e.g., sponsorship awareness). Consumers however, often misattribute sponsorships to nonsponsor competitor brands, indicating erroneous memory for these relationships. The current research uses an item and relational memory framework to reveal sponsor brands may inadvertently foster this misattribution when they communicate relational linkages to events. Effects can be explained via differential roles of communicating item information (information that supports processing item distinctiveness) versus relational information (information that supports processing relationships among items) in contributing to memory outcomes. Experiment 1 uses event-cued brand recall to show that correct memory retrieval is best supported by communicating relational information when sponsorship relationships are not obvious (low congruence). In contrast, correct retrieval is best supported by communicating item information when relationships are obvious (high congruence). Experiment 2 uses brand-cued event recall to show that, against conventional marketing recommendations, relational information increases misattribution, whereas item information guards against misattribution. Results suggest sponsor brands must distinguish between item and relational communications to enhance correct retrieval and limit misattribution. Methodologically, the work shows that choice of cueing direction is critical in differentially revealing patterns of correct and incorrect retrieval with pair relationships. (PsycINFO Database Record

Factors that influence young people's mental health help-seeking behaviour: a study based on the Health Belief Model.

AIM: To identify key predictors and moderators of mental health 'help-seeking behavior' in adolescents. BACKGROUND: Mental illness is highly prevalent in adolescents and young adults; however, individuals in this demographic group are among the least likely to seek help for such illnesses. Very little quantitative research has examined predictors of help-seeking behaviour in this demographic group. DESIGN: A cross-sectional design was used. METHODS: A group of 180 volunteers between the ages of 17-25 completed a survey designed to measure hypothesized predictors and moderators of help-seeking behaviour. Predictors included a range of health beliefs, personality traits and attitudes. Data were collected in August 2010 and were analysed using two standard and three hierarchical multiple regression analyses. FINDINGS: The standard multiple regression analyses revealed that extraversion, perceived benefits of seeking help, perceived barriers to seeking help and social support were direct predictors of help-seeking behaviour. Tests of moderated relationships (using hierarchical multiple regression analyses) indicated that perceived benefits were more important than barriers in predicting help-seeking behaviour. In addition, perceived susceptibility did not predict help-seeking behaviour unless individuals were health conscious to begin with or they believed that they would benefit from help. CONCLUSION: A range of personality traits, attitudes and health beliefs can predict help-seeking behaviour for mental health problems in adolescents. The variable 'Perceived Benefits' is of particular importance as it is: (1) a strong and robust predictor of help-seeking behaviour; and (2) a factor that can theoretically be modified based on health promotion programmes.

Buffered forgetting: when targets and distractors are both forgotten.

In three experiments, we investigated prior findings that, following some memory tasks, essentially flat d' or forced-choice retention curves are produced. These curves have been interpreted as indicating that forgetting is not present over the intervals examined; however, we propose in this article that forgetting is actually present whenever hit rates and false alarm rates are both declining, despite the result being a flat retention curve. We demonstrate that such curves can be produced using a pair recognition procedure, a plurality discrimination task, and a verbal discrimination task. For all of these tasks, we provide either new evidence or refer to evidence already in the literature that tends to contradict alternative explanations. Then we show how the failure to consider both signal strength and noise has led to distortions in theoretical thinking about forgetting.