Matching Data and Emotions for Designing Personalized Digital Experiences

Conference Paper (2018)
Author(s)

Myrthe Montijn (Student TU Delft)

G. Calabretta (TU Delft - Responsible Marketing and Consumer Behavior)

J. van Erp (TU Delft - Codesigning Social Change)

Research Group
Responsible Marketing and Consumer Behavior
Copyright
© 2018 Myrthe Montijn, G. Calabretta, J. van Erp
DOI related publication
https://doi.org/10.21606/dma.2018.653
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 Myrthe Montijn, G. Calabretta, J. van Erp
Research Group
Responsible Marketing and Consumer Behavior
Pages (from-to)
819-830
ISBN (print)
978-1-912294-17-6
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Digital innovations in-store are often unnecessary, unintuitive and uncomfortable and mostly make use of personal data for one-way messaging instead of meaningful interpersonal interactions. Digital initiatives are also more focused on enhancing the shopping experience (even unsuccessfully) instead of building consumer-brand relationship through an emotional brand experience. This paper introduces a new design framework which envisions a way of using personal consumer data for the design and development of in-store digital brand touch points. The aim of the framework is to improve consumers’ in
-store digital experience and their emotional connections with the brand. The foundational model for our framework is the Design for Emotion model developed by Pieter Desmet (2002). The model is used in a retail and branding context, and adapted to leverage the opportunities of personal consumer data in personalization strategies.