Augmented Shopping Experience for Sustainable Consumption Using the Internet of Thing

Hormann, Leander B.; Putz, Veronika; Rudic, Branislav; Kastl, Christian; Klinglmayr, Johannes; Pournaras, Evangelos

doi:10.1109/iotm.0001.1900047

Cited by 10 publications

(3 citation statements)

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“…A privacy-preserving indoor localization system is designed for the two retailer shops [ 22 ]. It derives the list of products that are in close proximity to consumers.…”

Section: Methodsmentioning

confidence: 99%

“…all different pasta products, on their smart phone and can therefore make efficiently an augmented comparison while moving along the shelves (see figure 1 ; electronic supplementary material, figure S.12). This novel augmented reality experience is made possible via a low-power bluetooth beacon localization technology that has been deployed and extensively tested on retailers’ sites [ 22 ]. Consumer localization in the shop does not require a centralized collection of GPS traces which tends to be unreliable, privacy-intrusive and not suitable for indoor environments [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

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How value-sensitive design can empower sustainable consumption

et al. 2021

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In a so-called overpopulated world, sustainable consumption is of existential importance. However, the expanding spectrum of product choices and their production complexity challenge consumers to make informed and value-sensitive decisions. Recent approaches based on (personalized) psychological manipulation are often intransparent, potentially privacy-invasive and inconsistent with (informational) self-determination. By contrast, responsible consumption based on informed choices currently requires reasoning to an extent that tends to overwhelm human cognitive capacity. As a result, a collective shift towards sustainable consumption remains a grand challenge. Here, we demonstrate a novel personal shopping assistant implemented as a smart phone app that supports a value-sensitive design and leverages sustainability awareness, using experts’ knowledge and ‘wisdom of the crowd’ for transparent product information and explainable product ratings. Real-world field experiments in two supermarkets confirm higher sustainability awareness and a bottom-up behavioural shift towards more sustainable consumption. These results encourage novel business models for retailers and producers, ethically aligned with consumer preferences and with higher sustainability.

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“…A privacy-preserving indoor localization system is designed for the two retailer shops [ 22 ]. It derives the list of products that are in close proximity to consumers.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

How value-sensitive design can empower sustainable consumption

et al. 2021

Self Cite

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“…Acquiring and maintaining (accurate) source data may also present feasibility issues, for example, when using location information for recognizing products [ 44 , 62 , 63 ]. Acquiring and updating source data to achieve the required performance was found to be very challenging [ 63 , 64 ]. In addition, some data, such as data on environmental sustainability and social impact, may be difficult to acquire [ 36 , 44 , 58 , 65 ].…”

Section: Resultsmentioning

confidence: 99%

Smartphone Apps for Food Purchase Choices: Scoping Review of Designs, Opportunities, and Challenges

Benthem de Grave,

Bull,

Monjardino de Souza Monteiro

et al. 2024

J Med Internet Res

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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.

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