498 research outputs found
Exploring nonconscious behaviour change interventions on mobile devices
Modern cognitive psychology theories such as Dual Process Theory suggest that the source of much habitual behaviour is the nonconscious. Despite this, most behaviour change interventions using technology (BCITs) focus on conscious strategies to change people’s behaviour. We propose an alternative avenue of research, which focuses on understanding how best to directly target the nonconscious via mobile devices in real-life situations to achieve behaviour change
Self-Control in Cyberspace: Applying Dual Systems Theory to a Review of Digital Self-Control Tools
Many people struggle to control their use of digital devices. However, our
understanding of the design mechanisms that support user self-control remains
limited. In this paper, we make two contributions to HCI research in this
space: first, we analyse 367 apps and browser extensions from the Google Play,
Chrome Web, and Apple App stores to identify common core design features and
intervention strategies afforded by current tools for digital self-control.
Second, we adapt and apply an integrative dual systems model of self-regulation
as a framework for organising and evaluating the design features found. Our
analysis aims to help the design of better tools in two ways: (i) by
identifying how, through a well-established model of self-regulation, current
tools overlap and differ in how they support self-control; and (ii) by using
the model to reveal underexplored cognitive mechanisms that could aid the
design of new tools.Comment: 11.5 pages (excl. references), 6 figures, 1 tabl
Reducing Risk in Digital Self-Control Tools: Design Patterns and Prototype
Many users take advantage of digital self-control tools to self-regulate their device usage through interventions such as timers and lockout mechanisms. One of the major challenges faced by these tools is the user reacting against their self-imposed constraints and abandoning the tool. Although lower-risk interventions would reduce the likelihood of abandonment, previous research on digital self-control tools has left this area of study relatively unexplored. In response, this paper contributes two foundational principles relating risk and effectiveness; four widely applicable novel design patterns for reducing risk of abandonment of digital self-control tools (continuously variable interventions, anti-aging design, obligatory bundling of interventions, and intermediary control systems); and a prototype digital self-control tool that implements these four low-risk design patterns
Targeting the automatic: Nonconscious behaviour change using technology
Digital interventions have great potential to support people to change their behaviour. However, most interventions focus on strategies that target limited conscious resources, reducing their potential impact. We outline how these may fail in the longer-term due to issues with theory, users and technology. We propose an alternative: the direct targeting of nonconscious processes to achieve behaviour change.
We synthesise Dual Process Theory, modern habit theory and Goal Setting Theory, which together model how users form and break nonconscious behaviours, into an explanatory framework to explore nonconscious behaviour change interventions. We explore the theoretical and practical implications of this approach, and apply it to a series of empirical studies.
The studies explore nonconscious-targeting interventions across a continuum of conscious attention required at the point of behavioural action, from high (just-in-time reminders within Implementation Intentions) to medium (training paradigms within cognitive bias modification) to low (subliminal priming). The findings show that these single-nonconscious-target interventions have mixed results in in-the-wild and semi-controlled conditions.
We conclude by outlining how interventions might strategically deploy multiple interventions that target the nonconscious at differing levels of conscious attention, and by identifying promising avenues of future research
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