Designing with Meaningful Data: Deep personalisation in the air travel context

Mengqi Yuan, Rebecca Price, Jeroen van Erp, Jorge Andrés Osorio Socha

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

Data and artificial intelligence (AI) are revolutionising the way customers interfacewith organisations and vice versa. However, there is limited knowledge regarding howdata and AI are used as material during the design process. It is to this practice-research gap that this paper responds, by providing practical insight into a projectbetween a Dutch airline, named AirlineX for the purpose of this paper, and auniversity-based design team. The project let to the development of a principle forpersonality-driven design that deeply personalises digital touchpoints within AirlineX’s operations. This principle is informed by ‘big five’ personality theory from the field of psychology. Further, a framework for incorporating AI and data asmeaningful subject matter into the design process is presented. This frameworkassists organisations to develop dialogue with customers beyond the purchase pointthrough personal data, representing a democratisation of the traditional business tocustomer (B2C) perspective. The paper concludes with directions for future researchthat point toward the growing need for ethical discourse regarding technology, designand society.
Original languageEnglish
Title of host publicationProceedings of DRS 2018
EditorsC. Storni, K. Leahy, M. McMahon, P. Lloyd, E. Bohemia
Place of PublicationLondon
PublisherDesign Research Society
Pages1440-1454
Number of pages15
ISBN (Print)978-1-912294-19-0
DOIs
Publication statusPublished - 2018
EventDRS 2018: Design as a catalyst for change - Limerick, Ireland
Duration: 25 Jun 201828 Jun 2018

Publication series

NameProceedings of DRS
PublisherDesign Research Society
Volume4
ISSN (Print)2398-3132

Conference

ConferenceDRS 2018
CountryIreland
CityLimerick
Period25/06/1828/06/18

Keywords

  • personalization
  • customer data
  • psychology
  • big five
  • use case

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