Mood as a resource in dealing with health recommendations: How mood affects information processing and acceptance of quit-smoking messages

Objective: An experimental study tested the effects of positive and negative mood on the processing and acceptance of health recommendations about smoking in an online experiment. It was hypothesised that positive mood would provide smokers with the resources to systematically process self-relevant health recommendations.Design: One hundred and twenty-seven participants (smokers and non-smokers) read a message in which a quit smoking programme was recommended. Participants were randomly assigned to one of four conditions: positive versus negative mood, and strong versus weak arguments for the recommended action.Main outcome measures: Systematic message processing was inferred when participants were able to distinguish between high- and low-quality arguments, and by congruence between attitudes and behavioural intentions. Persuasion was measured by participant's attitudes towards smoking and the recommended action, and by their intentions to follow the action recommendation.Results: As predicted, smokers systematically processed the health message only under positive mood conditions; non-smokers systematically processed the health message only under negative mood conditions. Moreover, smokers’ attitudes towards the health message predicted intentions to quit smoking only under positive mood conditions.Conclusion: Findings suggest that positive mood may decrease defensive processing of self-relevant health information

Do women and men use language differently in spoken face-to-face interaction? A scoping review

Although the question of whether women and men speak differently is a topic of hot debate, an overview of the extent towhich empirical studies provide robust support for a relationship between sex/gender and language is lacking. Therefore, the aim of the current scoping review is to synthesize recent studies from various theoretical perspectives on the relationship between sex/gender and language use in spoken face-to-face dyadic interactions. Fifteen empirical studies were systematically selected for review, and were discussed according to four different theoretical perspectives and associated methodologies. More than thirty relevant linguistic variables were identified (e.g., interruptions and intensifiers). Overall, few robust differences between women and men in the use of linguistic variables were observed across contexts, although women seem to be more engaged in supportive turn-taking than men. Importantly, gender identity salience, institutionalized roles, and social and contextual factors such as interactional setting or conversational goal seem to play a key role in the relationship between speaker’s sex/gender and language used in spoken interaction

'Feeling' risk and seeing solutions: Predicting vaccination intention against Hepatitis B infection among men who have sex with men

This study assessed cognitive and affective predictors of intention to obtain vaccination against the hepatitis B virus (HBV) among men who have sex with men (MSM), based on leading social cognitive models of health behavior. The key predictors of vaccination intention were perceived risk of contracting HBV, expectancies regarding the outcome of vaccination, and the interaction between risk perception and outcome expectancies. Negative affect increased risk perceptions, which, in turn, positively affected vaccination intention. It is concluded that MSM should feel they are at risk for HBV, and see solutions to this risk. Copyright © 2008 SAGE Publications

Towards Reflective AI:Needs, Challenges and Directions for Future Research

Harnessing benefits and preventing harms of AI cannot be solved alone through technological fixes and regulation. It depends on a complex interplay between technology, societal governance, individual behaviour, organizational and societal dynamics. Enabling people to understand AI and the consequences of its use and design is a crucial element for ensuring responsible use of AI.In this report we suggest a new framework for the development and use of AI technologies in a way that harnesses the benefits and prevents the harmful effects of AI. We name it Reflective AI. The notion of Reflective AI that we propose calls for adopting a holistic approach in the research and development of AI to investigate both what people need to learn about AI systems to develop better mental models i.e. an experiential knowledge of AI, to be able to use it safely and responsibly, as well as how this can be done and supported

Quantifying primaquine effectiveness and improving adherence: a round table discussion of the APMEN Vivax Working Group.

The goal to eliminate malaria from the Asia-Pacific by 2030 will require the safe and widespread delivery of effective radical cure of malaria. In October 2017, the Asia Pacific Malaria Elimination Network Vivax Working Group met to discuss the impediments to primaquine (PQ) radical cure, how these can be overcome and the methodological difficulties in assessing clinical effectiveness of radical cure. The salient discussions of this meeting which involved 110 representatives from 18 partner countries and 21 institutional partner organizations are reported. Context specific strategies to improve adherence are needed to increase understanding and awareness of PQ within affected communities; these must include education and health promotion programs. Lessons learned from other disease programs highlight that a package of approaches has the greatest potential to change patient and prescriber habits, however optimizing the components of this approach and quantifying their effectiveness is challenging. In a trial setting, the reactivity of participants results in patients altering their behaviour and creates inherent bias. Although bias can be reduced by integrating data collection into the routine health care and surveillance systems, this comes at a cost of decreasing the detection of clinical outcomes. Measuring adherence and the factors that relate to it, also requires an in-depth understanding of the context and the underlying sociocultural logic that supports it. Reaching the elimination goal will require innovative approaches to improve radical cure for vivax malaria, as well as the methods to evaluate its effectiveness

Disclosure Condition x Support Message Condition Factorial Analysis of Variance for Message Evaluations.

<p>Disclosure Condition x Support Message Condition Factorial Analysis of Variance for Message Evaluations.</p

Disclosure Condition x Support Message Condition Factorial Analysis of Variance for Relatedness.

<p>Disclosure Condition x Support Message Condition Factorial Analysis of Variance for Relatedness.</p