Long-term behaviour change is essential to many societal and personal challenges, ranging from maintaining sustainable lifestyles to adherence to medical treatment. However, prior research has generally focused on interventions dealing with bounded, present-tense, and discretely measurable behaviour change problems, evaluated via relatively short-term trials. This has led to a skewed prioritisation of behaviour change techniques and left a critical gap in design guidance. Hence, there is an urgent need to (i) examine how behaviour change techniques can be abstractly prioritised and (ii) related to contextual, embodied interventions during long-term behavioural design. We address this need using a Delphi survey method with 12 international experts on behavioural intervention complemented by a reanalysis of over 100 real-world cases. This provides the basis for examining how experts prioritise the Behaviour Change Technique Taxonomy (BCTT) for the long-term, as well as how this corresponds to real-world long-term interventions. Based on this we provide essential, and as a first, guidance for long-term behavioural design as well as contributing to wider research on how to deal with the demands of long-term behaviour change.

BEHAVIOURAL DESIGN TOOLS. Need a sidekick in your Behaviour Thinking journey? We’ve got you covered with tools and theories. Let’s go.

The Behaviour Change Strategy Matrix means you can approach behaviour change methodically. Assess the complexity of the desired behaviour change and the target group's readiness in order to select a behaviour change strategy. So that you can design solutions that truly resonate with your target group's abilities and willingness to change.

Introduction: As emotions are strong predictors of climate policy support, we examined multiple discrete emotions that people experience in reaction to various types of information about climate change: its causes, the scientific consensus, its impacts, and solutions. Specifically, we assessed the relationships between four types of messages and five discrete emotions (guilt, anger, hope, fear, and sadness), testing whether these emotions mediate the impacts of information on support for climate policy. Methods: An online experiment exposed participants (N = 3,023) to one of four informational messages, assessing participants' emotional reactions to the message and their support for climate change mitigation policies as compared to a no-message control group. Results: Each message, except the consensus message, enhanced the feeling of one or more emotions, and all of the emotions, except guilt, were positively associated with policy support. Two of the messages had positive indirect effects on policy support: the impacts message increased sadness, which in turn increased policy support, and the solutions message increased hope, which increased policy support. However, the solutions message also reduced every emotion except hope, while the impacts, causes, and consensus messages each suppressed hope. Discussion: These findings indicate that climate information influences multiple emotions simultaneously and that the aroused emotions may conflict with one another in terms of fostering support for climate change mitigation policies. To avoid simultaneously arousing a positive motivator while depressing another, message designers should focus on developing content that engages audiences across multiple emotional fronts.

One language shift that can help is moving from “audiences” to “actors.”

You don't have to track calories every day to lose weight, new research suggests Calorie counting with a smartphone app is a popular weight-loss strategy, and research shows it can work even if you don't track every bite. Tracking your food can help you lose weight by keeping a calorie deficit, eating less than you burn. But you don't need to monitor every meal — researchers found even part-time calorie tracking can help. Consistency, rather than perfection, can add up to healthy changes over time, researchers said.

Info, research, questionnaires/scales, info on application to specific topics

S:US will oversee the vending machine’s operation at 1676 Broadway in Brooklyn, outside of a supportive housing facility run by the organization. The machine will stock a variety of health and wellness supplies, such as naloxone (Narcan®), hygiene kits, and safer sex kits. S:US will restock the machine and include items that meet the needs of the local community alongside harm reduction supplies.

This article reviews 10 techniques used to identify opinion leaders to promote behavior change. Opinion leaders can act as gatekeepers for interventions, help change social norms, and accelerate behavior change. Few studies document the manner in which opinion leaders are identified, recruited, and trained to promote health. The authors categorize close to 200 studies that have studied or used opinion leaders to promote behavior change into 10 different methods. They present the advantages and disadvantages of the 10 opinion leader identification methods and provide sample instruments for each. Factors that might influence programs to select one or another method are then discussed, and the article closes with a discussion of combining and comparing methods.

(ie, Towards a Unified Theory of Behavior - all the biases boil down to the same underlying thing) One of the essential insights from psychological research is that people’s information processing is often biased. By now, a number of different biases have been identified and empirically demonstrated. Unfortunately, however, these biases have often been examined in separate lines of research, thereby precluding the recognition of shared principles. Here we argue that several—so far mostly unrelated—biases (e.g., bias blind spot, hostile media bias, egocentric/ethnocentric bias, outcome bias) can be traced back to the combination of a fundamental prior belief and humans’ tendency toward belief-consistent information processing. What varies between different biases is essentially the specific belief that guides information processing. More importantly, we propose that different biases even share the same underlying belief and differ only in the specific outcome of information processing that is assessed (i.e., the dependent variable), thus tapping into different manifestations of the same latent information processing. In other words, we propose for discussion a model that suffices to explain several different biases. We thereby suggest a more parsimonious approach compared with current theoretical explanations of these biases. We also generate novel hypotheses that follow directly from the integrative nature of our perspective.

This is a map of subcultures within an organization (it's called a fitness landscape). It's built from stories told by the people in the organization. What can you do with it? Understand where the culture(s) are and request changes by saying I want “More stories like these...“ and “Fewer like those...“ Dave Snowden and The Cynefin Company (formerly Cognitive Edge) are offering impactful ways to visualize culture, and communicate direction in a manner that is customized to where each subculture is now and where their next best step is. Watch this video until 48:48 for more on the science and method (Link at 44:33) https://lnkd.in/emuAzp6E Stories collected using The Cynefin Co's Sensemaker tool.

The world's largest collection of resources and data on behavioral science.

Photos they want with advice they need More than half of Kiwis over 65 have encountered a scam in the last 12 months. Help keep your loved ones safe from scammers by creating a Screen Saver with handy banking safely tips for them. Take a photo of your kids holding a sign with one of our tips, and apply it to the wallpaper on their device so they have photos they want with advice they need. It’s a fun and effective way for you and your kids to fight scams together.

This framework proposes a stagewise model for evaluating the effectiveness and sustainability of behaviourally and culturally informed interventions in complex settings, with detailed guidance and accompanying tools. It presents the theoretical background, addresses the challenges of assessing causality during times of change and of influencing factors, and provides a method for measuring the unintended positive and negative effects of interventions on well-being, trust and social cohesion.

When you fail to reach a challenging goal, say, saving a certain amount of money each month or getting to the gym a certain number of times a week, it can be tempting to just give up on the plan entirely. But new research shows that building some flexibility into that plan can actually improve your chances of success. In this episode of Choiceology with Katy Milkman, we look at how mulligans, skip days, cheat meals, and get-out-of-jail free cards are important strategies for sticking to your long-term goals.

Highlighting the important role of marketing in encouraging sustainable consumption, the current research presents a review of the academic literature from marketing and behavioral science that examines the most effective ways to shift consumer behaviors to be more sustainable. In the process of the review, the authors develop a comprehensive framework for conceptualizing and encouraging sustainable consumer behavior change. The framework is represented by the acronym SHIFT, and it proposes that consumers are more inclined to engage in pro-environmental behaviors when the message or context leverages the following psychological factors: Social influence, Habit formation, Individual self, Feelings and cognition, and Tangibility. The authors also identify five broad challenges to encouraging sustainable behaviors and use these to develop novel theoretical propositions and directions for future research. Finally, the authors outline how practitioners aiming to encourage sustainable consumer behaviors can use this framework.

The use of a “choice triad” model that encompasses choice posture, choice architecture, and choice infrastructure can help bridge disciplinary gaps. • The triad can be employed throughout the design process, supporting diagnostic, generative, and evaluative design activities. • Together these lenses can shift policymakers’ attention beyond public health outputs alone toward designing and maintaining conditions that allow solutions to flourish (condition design).

Here is an interesting way to visualize how to design for behavior using the COM-B Model and the Behavior Change Wheel If you don't know the Behavior Change Wheel, it is a framework developed by Susan Michie, Robert West and colleagues at UCL It is comprised of 19 different behavior change frameworks. At the center sits The COM-B Model: COM-B is used to look for the barriers or enablers to a behavior Capability (both physical and psychological) Opportuntity (both physical and social) Motivation (both reflective and automatic) It is a powerful way to analyze what may be stopping your customers or employees or even yourself of making the choices you already wanted to do. Outside the COM-B model (center of the wheel) sit the Intervention Types - which can include Education, Incentivization, and Training. As for the example here used in diabetes prevention design: The wheel has been filled with interventions and ways to deliver the intervention in this example. (I may have done it a bit different, but still a good representation) It looks at the Patient level - to Increase the patient's awareness of pre-diabetes It looks at Provider's Level - Improve communication skills, and teachable moments at diagnosis It looks at System Level - Invitation by physicians as well as social marketing. This of course is a small example of how the model could help you go from challenge to outcome.

Improve Adherence to Health Tech. Solutions The Adherence Canvas is a tool to guide and measure the consideration of adherence to improve it during the design and development of medical technology.

Miro whiteboard based on BCTTv1 - 93 BCTs

Implementing new practices requires changes in the behaviour of relevant actors, and this is facilitated by understanding of the determinants of current and desired behaviours. The Theoretical Domains Framework (TDF) was developed by a collaboration of behavioural scientists and implementation researchers who identified theories relevant to implementation and grouped constructs from these theories into domains. The collaboration aimed to provide a comprehensive, theory-informed approach to identify determinants of behaviour. The first version was published in 2005, and a subsequent version following a validation exercise was published in 2012. This guide offers practical guidance for those who wish to apply the TDF to assess implementation problems and support intervention design. It presents a brief rationale for using a theoretical approach to investigate and address implementation problems, summarises the TDF and its development, and describes how to apply the TDF to achieve implementation objectives. Examples from the implementation research literature are presented to illustrate relevant methods and practical considerations.

Robert Meza Miro boards compiled in one place