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Personal and Ubiquitous Computing

, Volume 17, Issue 6, pp 1247–1259 | Cite as

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

  • Vaiva KalnikaitėEmail author
  • Jon Bird
  • Yvonne Rogers
Original Article

Abstract

Recent findings suggest that while shopping people apply ‘fast and frugal’ heuristics: short-cut strategies where they ignore most product information and instead focus on a few key cues. But rather than supporting this practice, mobile phone shopping apps and recommender systems overwhelm shoppers with information. This paper examines the amount and structure of product information that is most appropriate for supermarket shoppers, finding that in supermarkets, people rapidly make decisions based on one or two product factors for routine purchases, often trading-off between price and health. For one-off purchases, shoppers can be influenced by reading customer star ratings and reviews on a mobile phone app. In order to inform decision-making or nudge shoppers in supermarkets, we propose using embedded technologies that provide appropriate feedback and make key information salient. We conclude that rather than overwhelming shoppers, future shopping technology design needs to focus on information frugality and simplicity.

Keywords

Ethnography User studies Supermarket shopping Food information displays Ambient information interfaces Mobile computing Ubiquitous computing Nudging behaviour change 

Notes

Acknowledgments

The research is partially funded by the EPSRC grant “CHANGE: Engendering Change in People’s Everyday Habits Using Ubiquitous Computing Technologies” (number XC/09/043/YR). We would like to thank our collaborators Nicolas Villar, Khaled Bachour, Stephen Payne, Peter M. Todd, Johannes Schöning, Antonio Krüger and Stefan Kreitmayer, all of whom have helped with the design and evaluation of the lambent shopping handle. We also thank our participants for coming shopping with us.

References

  1. 1.
    Black D, Clemmensen NJ, Skov MB (2009) Supporting the supermarket shopping experience through a context-aware shopping trolley. In: Proceedings of the 21st annual conference of the Australian Computer-Human Interaction Special Interest Group, ACM Press, pp 33–40Google Scholar
  2. 2.
    EDS IDG Shopping Report (2007) Shopping choices: attraction or distraction? http://www.eds.com/industries/cir/downloads/EDSIDGReport_aw_final.pdf. Retrieved 17 Feb 2011
  3. 3.
    Gaver W, Dunne T, Pacenti E (1999) Cultural probes. Interactions 6(1):21–29Google Scholar
  4. 4.
    Goldstein DG, Gigerenzer G (2002) Models of ecological rationality: the recognition heuristic. Psychol Rev 109:75–90CrossRefGoogle Scholar
  5. 5.
    GoodGuide. http://www.goodguide.com/. Retrieved 17 Feb 2011
  6. 6.
    Goodman J, Brewster S, Gray P (2004) Using field experiments to evaluate mobile guides. In: Schmidt-Belz B, Cheverst K (eds) Proceedings of HCI in mobile guides, workshop at mobile HCI 2004. Springer, Glasgow, pp 38–48CrossRefGoogle Scholar
  7. 7.
    GoogleShopper. http://www.google.com/mobile/shopper/. Retrieved 17 Feb 2011
  8. 8.
    Iyengar S (2010) The art of choosing: the decisions we make everyday of our lives, what they say about us and how can improve them. Little, BrownGoogle Scholar
  9. 9.
    Jain J, Ghosh R, Dekhil M (2009) Multimodal shopping lists. In: Proceedings of HCI’09. Springer, Berlin, Heidelberg, pp 39–47Google Scholar
  10. 10.
    Kahl G, Spassova L, Schöning J, Gehring S, Krüger A (2011) IRL SmartCart—a user-adaptive context-aware interface for shopping assistance. In: Proceedings of IUI’11, ACM Press, pp 359–362Google Scholar
  11. 11.
    Kallehave O, Skov MB, Tiainen N (2011) Persuasion in situ: shopping for healthy food in supermarkets. In: Proceedings of PINC 2011 workshop at CHIGoogle Scholar
  12. 12.
    Kalnikaitė V, Rogers Y, Bird J, Villar N, Bachour K, Payne S, Todd MP, Schoning J, Kruger A, Kreitmayer S (2011) How to nudge in situ: designing lambent devices to deliver salient information in supermarkets. In: Proceedings of 13th international conference on Ubiquitous computing (UbiComp’11), ACM Press, pp 11–20Google Scholar
  13. 13.
    Katsikopoulos KV, Fasolo B (2006) New tools for decision analysts. IEEE Syst Man Cybern A 36:960–967CrossRefGoogle Scholar
  14. 14.
    Kjeldskov J, Skov MB, Als BS, Høegh RT (2004) Is it worth the hassle? Exploring the added value of evaluating the usability of context-aware mobile systems in the field. In: Proceedings of mobile HCI 2004, pp 61–73Google Scholar
  15. 15.
    Lewis CH (1982) Using the “thinking aloud” method in cognitive interface design. Technical report IBM RC-9265Google Scholar
  16. 16.
    Macphail S (2011) GE money survey? http://www.dailymail.co.uk/femail/article-419077/Women-spend-years-life-shopping.html. Retrieved 17 Feb 2011
  17. 17.
    National Heart Forum (2007) Misconceptions and misinformation: The problems with guideline daily amounts. http://nhfshare.heartforum.org.uk/RMAssets/Reports/NHFGDAreport.pdf. Retrieved 17 Feb 2011
  18. 18.
    Nurmi P, Lagerspetz E, Buntine W, Floréen P, Kukkonen SJ (2008) Product retrieval for grocery stores. In: Proceedings of the SIGIR’08, ACM Press, pp 781–782Google Scholar
  19. 19.
  20. 20.
    Payne JW, Bettman JR, Johnson EJ (1993) The adaptive decision making. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  21. 21.
    RedLaser. http://redlaser.com/. Retrieved 17 Feb 2011
  22. 22.
    Reischach F, Guinard D, Michahelles F, Fleisch E (2009) A mobile product recommendation system interacting with tagged products. In: Proceedings of the 7th conference on pervasive computing and communications, ACM Press, pp 1–6Google Scholar
  23. 23.
    Resatsch F, Karpischek S, Sandner U, Hamacher S (2007) Mobile sales assistant: NFC for retailers. In: Proceedings of mobile HCI’07, ACM Press, pp 313–316Google Scholar
  24. 24.
    Resatsch F, Sandner U, Leimeister JM, Krcmar H (2008) Do point of sale RFID-based information services make a difference? analyzing consumer perceptions for designing smart product information services in retail business. Electron Mark 18(3):216–231CrossRefGoogle Scholar
  25. 25.
    Rogers Y, Hazelwood W, Marshall P, Dalton NS, Hertrich S (2012) Ambient influence: can twinky lights lure and abstract representations trigger behavioural change? In: Proceedings of Ubicomp’10. ACM Press, pp 261–270Google Scholar
  26. 26.
    Shekar S, Nair P, Helal A (2003) iGrocer: a ubiquitous and pervasive smart grocery shopping system. In: Proceedings of SAC ‘03. ACM Press, pp 645–652Google Scholar
  27. 27.
    Steptoe A, Pollard TM, Wardle J (1995) Development of a measure of the motives underlying the selection of food: the food choice questionnaire. Appetite 25:267–284CrossRefGoogle Scholar
  28. 28.
    The Eatery by Massive Health. http://massivehealth.com/. Retrieved 4 Nov 2011
  29. 29.
    Time Use Institute Grocery Shopping: Who, Where and When (2008). http://www.timeuseinstitute.org/Grocery%20White%20Paper%202008.pdf. Retrieved 17 Feb 2011
  30. 30.
    Todd PM, Miller GF (1999) From pride and prejudice to persuasion: Satisfying in mate search. In: Gigerenzer G, Todd PM, The ABC Research Group (eds) Simple heuristics that make us smart. Oxford University Press, New York, pp 287–308Google Scholar
  31. 31.
    Todd PM, Gigerenzer G (2007) Environments that make us smart: ecological rationality. Curr Dir Psychol Sci 16(3):167–171CrossRefGoogle Scholar
  32. 32.
    Todd PM, Rogers Y, Payne SJ (2011) Nudging the trolley in the supermarket: how to deliver the right information to shoppers. J Mobile HCI (to appear)Google Scholar
  33. 33.
    UK Food Standards Agency. http://www.eatwell.gov.uk/foodlabels/labellingterms/nutritionalinfo/. Retrieved 17 Feb 2011
  34. 34.
    UK Food Standards Agency—Low income diet and nutrition survey. http://www.food.gov.uk/science/dietarysurveys/lidnsbranch/#h_3. Retrieved 17 Feb 2011
  35. 35.
    UK Shopping Habits Survey. http://www.gemoney.co.uk/. Retrieved 17 Feb 2011
  36. 36.
    Underhill P (2009) Why we buy: the science of shopping. Simon and Schuster, New YorkGoogle Scholar
  37. 37.
    von Reischach F, Michahelles F, Schmidt A (2009) The design space of ubiquitous product recommendation systems. In: Proceedings of MUM’09, ACM Press, Article 2Google Scholar
  38. 38.
    von Reischach F, Dubach E, Michahelles F, Schmidt A (2010) An evaluation of product review modalities for mobile phones. In: Proceedings of mobile HCI’10, ACM Press, pp 199–208Google Scholar
  39. 39.
    Which report, Making sustainable food choices easier (2010). http://www.which.co.uk/documents/pdf/making-sustainable-food-choices-easier-231317.pdf. Retrieved 17 Feb 2011
  40. 40.
    Wu H, Natchetoi Y (2007) Mobile shopping assistant: integration of mobile applications and web services. In: Proceedings of WWW’07, ACM Press, pp 1257–1260Google Scholar
  41. 41.
    Zaichkowsky JL (1985) Measuring the involvement construct. J Consumer Res 12:341–352CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  1. 1.InteractablesCambridgeUK
  2. 2.University College LondonLondonUK

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