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The Internet of Things pp 123–139Cite as

User Acceptance of the Intelligent Fridge: Empirical Results from a Simulation

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4952))

Abstract

The smart fridge has often been considered a prototypical example of applications of the Internet of Things for the home. However, very little research has been conducted on functions desired by prospective users, and how users will eventually use the fridge. A simulation of a smart fridge was developed and tested within a controlled laboratory between-subjects experiment with 105 participants. Four different assistance functions were tested. It was found that generally a smart fridge is evaluated as moderately useful, easy to use and people would tend to buy it, if it was already available. Emotional responses differed between the assistance functions. Displaying information on durability of products, as well as giving feedback on nutrition health and economics are the most appreciated applications. Structurally, overall usefulness ratings of the device are the strongest predictors for the intention to use a smart fridge, but the emotional response to the product was also an important explanatory variable. Results are not influenced by technical competence, gender, or sense of presence in the simulation. Regression models confirmed that the simulation-based results explained 20% more variance in product acceptance than written scenarios. An outlook is given on future questions to be answered using the simulation.

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Authors and Affiliations

  1. Humboldt University Berlin,  

    Matthias Rothensee

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  1. Matthias Rothensee
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Christian Floerkemeier Marc Langheinrich Elgar Fleisch Friedemann Mattern Sanjay E. Sarma

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Rothensee, M. (2008). User Acceptance of the Intelligent Fridge: Empirical Results from a Simulation. In: Floerkemeier, C., Langheinrich, M., Fleisch, E., Mattern, F., Sarma, S.E. (eds) The Internet of Things. Lecture Notes in Computer Science, vol 4952. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78731-0_8

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  • DOI: https://doi.org/10.1007/978-3-540-78731-0_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78730-3

  • Online ISBN: 978-3-540-78731-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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