Background: Smartphone apps can aid consumers in making healthier and more sustainable food purchases. However, there is still a limited understanding of the different app design approaches and their impact on food purchase choices. An overview of existing food purchase choice apps and an understanding of common challenges can help speed up effective future developments. Objective: We examined the academic literature on food purchase choice apps and provided an overview of the design characteristics, opportunities, and challenges for effective implementation. Thus, we contribute to an understanding of how technologies can effectively improve food purchase choice behavior and provide recommendations for future design efforts. Methods: Following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines, we considered peer-reviewed literature on food purchase choice apps within IEEE Xplore, PubMed, Scopus, and ScienceDirect. We inductively coded and summarized design characteristics. Opportunities and challenges were addressed from both quantitative and qualitative perspectives. From the quantitative perspective, we coded and summarized outcomes of comparative evaluation trials. From the qualitative perspective, we performed a qualitative content analysis of commonly discussed opportunities and challenges. Results: We retrieved 55 articles, identified 46 unique apps, and grouped them into 5 distinct app types. Each app type supports a specific purchase choice stage and shares a common functional design. Most apps support the product selection stage (selection apps; 27/46, 59%), commonly by scanning the barcode and displaying a nutritional rating. In total, 73% (8/11) of the evaluation trials reported significant findings and indicated the potential of food purchase choice apps to support behavior change. However, relatively few evaluations covered the selection app type, and these studies showed mixed results. We found a common opportunity in apps contributing to learning (knowledge gain), whereas infrequent engagement presents a common challenge. The latter was associated with perceived burden of use, trust, and performance as well as with learning. In addition, there were technical challenges in establishing comprehensive product information databases or achieving performance accuracy with advanced identification methods such as image recognition. Conclusions: Our findings suggest that designs of food purchase choice apps do not encourage repeated use or long-term adoption, compromising the effectiveness of behavior change through nudging. However, we found that smartphone apps can enhance learning, which plays an important role in behavior change. Compared with nudging as a mechanism for behavior change, this mechanism is less dependent on continued use. We argue that designs that optimize for learning within each interaction have a better chance of achieving behavior change. This review concludes with design recommendations, suggesting that food purchase choice app designers anticipate the possibility of early abandonment as part of their design process and design apps that optimize the learning experience.

Climate change poses unique challenges and opportunities for the design of human-centered smart buildings. Developments in innovative programmable materials can address some of the challenges of creating passive buildings whilst cultivating more responsible human-climate relationships. Yet, their potential in the context of climate change remains relatively underexplored by the Human-Computer Interaction and Human Building Interaction research communities. This workshop invites proposals that rethink the design of physical human-data interactions in our built environment in the increasingly urgent context of climate change. The workshop will include opportunities to present and discuss participants’ research and design work, followed by a ‘mapping the research landscape’ exercise, and a video design-fiction prototyping session. The anticipated outcome of the workshop will be a new design agenda for HCI/HBI research in response to climate change, which will be of critical relevance to people designing and developing smart buildings, cities and urban infrastructures.

Introduction: Learning communities need access to resources to support efforts in building and sustaining learning health systems. This experience report details our development and initial assessments of the Learning Health System (LHS) Toolkit, a menu of resources purpose‐designed to support users to build more proactive, responsive, and equitable systems of care by developing, implementing and sustaining LHSs. Methods: Toolkit development began in 2022, and the current version was completed in 2025. To optimize knowledge translation, we structured our methods to align with the phases of the Knowledge to Action (KTA) Model, including (1) Knowledge Inquiry; (2) Synthesis and Creation; (3) Knowledge Selection; (4) Adapting Knowledge to Local Context; (5) Assessing Barriers and Facilitators to Knowledge Use; (6) Selecting, Tailoring, and Implementing the Intervention, and (7) Monitoring Knowledge Use. Results: Development of the web‐based toolkit and vetting of its contents were achieved over several phases. Feedback from toolkit users was positive overall and was integral to its development and refinement. Users from 72 countries have accessed the toolkit, although most engagement has occurred in high‐income countries, chiefly the US, UK, Türkiye, Australia, Canada, The Netherlands, and New Zealand. Conclusions: The toolkit is uniquely situated to support learning communities. It includes a dynamic design, is regularly updated, and is accessible free of cost. Additionally, unlike a literature search, the toolkit is developed with usability in mind and includes tools beyond peer‐reviewed literature, curated by LHS experts. The next steps are to develop and action a dissemination plan based on implementation science principles to increase the reach and adoption of the toolkit.