Decision-making in the aisles: informing, overwhelming or nudging supermarket shoppers?

Kalnikaitė, Vaiva; Bird, Jon; Rogers, Yvonne

doi:10.1007/s00779-012-0589-z

Cited by 65 publications

(77 citation statements)

References 22 publications

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“…This contradicts earlier findings, which highlighted only efficiency and frugality. 5 The current understanding of shopping assistant apps does not explain the behavior and needs of holistic meal planners-quite the contrary. However, the growing body of food research 15 indicates the increasing interest and the existence of an emergent phenomenon around food.…”

Section: Main Motivationsmentioning

confidence: 98%

“…11 The decision-making process carried out in supermarkets differs from the way shoppers decide whether to purchase high-value one-off items, so these two types of shopping have different information requirements. 5 Grocery shopping is often considered a routine activity. 8 It has been argued that only frugality and simplicity are required from any assistive grocery shopping application.…”

Section: Janne Lindqvist Rutgers Universitymentioning

confidence: 99%

“…1,4,9 Another approach has been to integrate the system into a physical shopping cart. 5 Shopping assistants presented in previous research typically consist of one or more of the following features:…”

Section: Related Workmentioning

confidence: 99%

“…8 It has been argued that only frugality and simplicity are required from any assistive grocery shopping application. 5 Consumers feel that the amount of money involved in their purchase is not high enough to warrant additional information searches at the point of sale. 11 On the other hand, a recent interview and shop-along study showed that food practices are a complex and situated set of actions.…”

Section: Related Workmentioning

confidence: 99%

“…1 The focus has mainly been on applying shopping assistants at the point of sale, [1][2][3][4][5] but users employ multiple types of devices in multiple contexts and locations, not only in stores. 6 More research is thus needed to understand users' motivations for using shopping applications in the first place.…”

mentioning

confidence: 99%

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Understanding Motivations for Using Grocery Shopping Applications

Tukkinen

Lindqvist

2015

IEEE Pervasive Comput.

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For more than two decades, researchers have been investigating how to technologically enhance the in-store shopping experience. 1 The focus has mainly been on applying shopping assistants at the point of sale, 1-5 but users employ multiple types of devices in multiple contexts and locations, not only in stores. 6 More research is thus needed to understand users' motivations for using shopping applications in the first place.To explore such motivations, we studied the use of Foodie. fi, a popular grocery shopping application for mobile, tablet, and Web clients. Because Foodie.fi provides a wide range of the features explored in previous research prototypes and small-scale trials, it offers a good representation of a real-world deployment of the various ideas presented in the literature. The service can be used both for online shopping and for enhancing the traditional in-store shopping experience. It also combines the shopping experience with online cooking recipes.In this article, we focus on the following research questions:What are the motivations for using a shopping application? Why do people select either in-store or online shopping? In what kinds of situations is the service being used?In particular, we investigate the use of digital shopping lists and how people use technological support to plan and execute their grocery shopping. Related WorkTraditionally, people have used shopping lists written on paper, usually composed at home, to refresh their memory when shopping. Only five percent of paper-based shopping lists are edited in the supermarket. 7 Furthermore, the transition from paper-based to digital shopping lists has been slow. 8 Digital shopping assistants let customers request product information using pervasive technologies. Most of these applications are implemented for mobile phones and PDAs. 1,4,9 Another approach has been to integrate the system into a physical shopping cart. 5 Shopping assistants presented in previous research typically consist of one or more of the following features:This case study of Foodie.fi, a popular grocery shopping application, reveals three main motivations for using the service and compares in-store and online shopping. Integrating a recipe service with the shopping application can engage users and enhance their diets. Pia Tukkinen Aalto University, Finland Janne Lindqvist Rutgers UniversityPER VASI V E computing 39 product information, shopping lists, the user's location, price comparisons, ratings and reviews, and advertisements. Foodie.fi provides all these features either fully or partially, so it is a suitable example for this study.Researchers have mainly performed laboratory tests and field trials focused on in-store use, but online commercial shopping applications, such as Google Shopper, ShopSavvy, and AmazonFresh, are gaining popularity. Although there is not much research on the use of these applications, because companies have been reluctant to release their data, a couple of early studies exist. One study of a widely adopted bargain hunter application...

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Section: Main Motivationsmentioning

confidence: 98%

Section: Janne Lindqvist Rutgers Universitymentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

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Understanding Motivations for Using Grocery Shopping Applications

Tukkinen

Lindqvist

2015

IEEE Pervasive Comput.

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A Change for the Better? Digital Health Technologies and Changing Food Consumption Behaviors

Lowe

Fraser

Souza-Monteiro

2015

Psychology and Marketing

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Much of the existing literature in the area of food and consumer behavior concerns consumer evaluation of individual products. However, obesity and other food‐related health conditions typically occur as a result of poor diets and lifestyle, rather than poor individual product choices. As consumers, we generally have an imperfect understanding of our diet and lifestyle and use heuristics to process complex diet and lifestyle information. Increasingly, as ubiquitous computing applications in the area of food and consumption proliferate a number of questions arise about how consumers are using these technologies to assist them in processing their diet and lifestyle information. This article addresses this juncture by integrating streams of research in food consumption, information processing, and technology adoption to better understand consumer interaction with Digital Health Technologies (DHTs) to assist in information processing. As this represents a relatively new stream of research in an area of growing importance, the article develops a conceptual framework about consumer interaction with DHTs and identifies a number of pertinent questions for future research to examine.

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