The Choice Architecture of Choice Architecture: Toward a Nonpaternalistic Nudge Policy

This The goal of nudge policy is generally presented as assisting people in finding their “true” preferences. Supporters argue that nudge policies meet a libertarian paternalism criterion. This claim has provoked complaints that nudge policies are unacceptably paternalistic. This paper suggests that by changing the explicit goal of nudge policy to a goal of making the choice of choice mechanism an explicit decision variable of the subgroup being affected by the nudge one can have a non-paternalistic nudge policy that better fits with the values inherent in Classical liberalism. The goal of non-paternalistic nudge policy is not to achieve a better result as seen by government or by behavioral economists. The goal of non-paternalistic nudge policy is to achieve a better result as seen by the agents being nudged as revealed through their choices of choice mechanisms. Examples are given of how nonpaternalistic nudge policy will and will not differ from paternalistic nudge policy.libertarian, paternalism, nudge policy, choice architecture, behavioral economics

Choice architecture and design with intent

Motivation – Choice architecture (Thaler & Sunstein, 2008) is a phrase of the moment among politicians and economists seeking to influence public behaviour, but the relevance of the concept to designers has received little attention. This paper places choice architecture within the context of Design with Intent—design intended to influence user behaviour. Research approach – The concepts are introduced and choice architecture is deconstructed. Findings/Design – Affordances and Simon’s behavioural model (1955) help understand choice architecture in more detail. Research limitations/Implications – This is only a very brief, limited foray into what choice architecture is. Originality/Value – User behaviour can be a major determinant of product efficiency: user decisions can contribute significantly to environmental impacts. Understanding the reasons behind them, a range of design techniques can be identified to help users towards more efficient interactions. Take away message – The intended outcome is a useful design method for helping users use things more efficiently

The heteronomy of choice architecture

Choice architecture is heralded as a policy approach that does not coercively reduce freedom of choice. Still we might worry that this approach fails to respect individual choice because it subversively manipulates individuals, thus contravening their personal autonomy. In this article I address two arguments to this effect. First, I deny that choice architecture is necessarily heteronomous. I explain the reasons we have for avoiding heteronomous policy-making and offer a set of four conditions for non-heteronomy. I then provide examples of nudges that meet these conditions. I argue that these policies are capable of respecting and promoting personal autonomy, and show this claim to be true across contrasting conceptions of autonomy. Second, I deny that choice architecture is disrespectful because it is epistemically paternalistic. This critique appears to loom large even against non-heteronomous nudges. However, I argue that while some of these policies may exhibit epistemically paternalistic tendencies, these tendencies do not necessarily undermine personal autonomy. Thus, if we are to find such policies objectionable, we cannot do so on the grounds of respect for autonomy

Choice architecture interventions to improve diet and/or dietary behaviour by healthcare staff in high-income countries : a systematic review

Objectives We were commissioned by the behavioural insights team at Public Health England to synthesise the evidence on choice architecture interventions to increase healthy purchasing and/or consumption of food and drink by National Health Service (NHS) staff. Data sources MEDLINE, EMBASE, CINAHL, Cochrane Central register of Controlled Trials, PsycINFO, Applied Social Sciences Index and Abstracts and Web of Science were searched from inception until May 2017 and references were screened independently by two reviewers. Design A systematic review that included randomised experimental or intervention studies, interrupted time series and controlled before and after studies. Participants Healthcare staff of high-income countries. Intervention Choice architecture interventions that aimed to improve dietary purchasing and/or consumption (outcomes) of staff. Appraisal and synthesis Eligibility assessment, quality appraisal, data abstraction and analysis were completed by two reviewers. Quality appraisal of randomised trials was informed by the Cochrane Handbook, and the Risk of Bias Assessment Tool for Nonrandomized Studies was used for the remainder. Findings were narratively synthesised. Results Eighteen studies met the inclusion criteria. Five studies included multiple workplaces (including healthcare settings), 13 were conducted in healthcare settings only. Interventions in 10 studies were choice architecture only and 8 studies involved a complex intervention with a choice architecture element. Interventions involving a proximity element (making behavioural options easier or harder to engage with) appear to be frequently effective at changing behaviour. One study presented an effective sizing intervention. Labelling alone was generally not effective at changing purchasing behaviour. Interventions including an availability element were generally reported to be successful at changing behaviour but no included study examined this element alone. There was no strong evidence for the effect of pricing on purchasing or dietary intake. Conclusion Proximity, availability and sizing are choice architecture elements that are likely to be effective for NHS organisations. Trial registration number CRD42017064872

The Choice Architecture of Choice Architecture: Toward a Non-Paternalistic Nudge Policy

The paper seeks to recast the goal of nudge policy from a goal of achieving a specific result determined by government or by behavioral economists to a goal of giving individuals as much power as is practical to decide the choice architecture they face. We call a nudge with such a giving individuals “power over choice mechanisms” goal a non-paternalistic nudge policy. The goal of nonpaternalistic nudge policy is not to achieve a better result as seen by government or by behavioral economists. The goal of non-paternalistic nudge policy is to achieve a better result as seen by the agents being nudged as revealed through their choices of choice architectures. We argue that non-paternalistic nudge policy fits much better with the values inherent in Classical liberalism than does libertarian paternalistic nudge policy.

Using real options to select stable Middleware-induced software architectures

The requirements that force decisions towards building distributed system architectures are usually of a non-functional nature. Scalability, openness, heterogeneity, and fault-tolerance are examples of such non-functional requirements. The current trend is to build distributed systems with middleware, which provide the application developer with primitives for managing the complexity of distribution, system resources, and for realising many of the non-functional requirements. As non-functional requirements evolve, the `coupling' between the middleware and architecture becomes the focal point for understanding the stability of the distributed software system architecture in the face of change. It is hypothesised that the choice of a stable distributed software architecture depends on the choice of the underlying middleware and its flexibility in responding to future changes in non-functional requirements. Drawing on a case study that adequately represents a medium-size component-based distributed architecture, it is reported how a likely future change in scalability could impact the architectural structure of two versions, each induced with a distinct middleware: one with CORBA and the other with J2EE. An option-based model is derived to value the flexibility of the induced-architectures and to guide the selection. The hypothesis is verified to be true for the given change. The paper concludes with some observations that could stimulate future research in the area of relating requirements to software architectures

Nudging folks towards stronger password choices:providing certainty is the key

Persuading people to choose strong passwords is challenging. One way to influence password strength, as and when people are making the choice, is to tweak the choice architecture to encourage stronger choice. A variety of choice architecture manipulations i.e. “nudges”, have been trialled by researchers with a view to strengthening the overall password profile. None has made much of a difference so far. Here we report on our design of an influential behavioural intervention tailored to the password choice context: a hybrid nudge that significantly prompted stronger passwords.We carried out three longitudinal studies to analyse the efficacy of a range of “nudges” by manipulating the password choice architecture of an actual university web application. The first and second studies tested the efficacy of several simple visual framing “nudges”. Password strength did not budge. The third study tested expiration dates directly linked to password strength. This manipulation delivered a positive result: significantly longer and stronger passwords. Our main conclusion was that the final successful nudge provided participants with absolute certainty as to the benefit of a stronger password, and that it was this certainty that made the difference