Research Output

User Experience in Cross-channel Ecosystems

  Recent developments in information and communication technologies have left interaction design and human-computer interaction (HCI) with something of a conceptual gap. The distinction between physical and digital spaces is increasingly blurred. Cloud-based services have enabled a separation of information content from device so that content can be accessed and manipulated across multiple devices and locations. The user experience (UX) frequently needs to deal with activities that transition across physical and digital spaces and ecosystems of devices and services. Designers can no longer prescribe the journey or curate experiences simply as isolated interactions. Instead, UX must be consistently spread across touchpoints, channels, and device ecosystems. Our contribution to the development of UX, interaction design, and information architecture is to appeal to the notions of cross channel user experiences and blended spaces. Information architecture is the pervasive layer that underlies interactions that cross services, devices and blended physical and digital spaces. Information architecture is the structure within which the UX unfolds. From this perspective, we highlight the importance of creating meaningful places for experience and navigation through blended spaces.

  • Date:

    01 May 2017

  • Publication Status:

    Accepted

  • DOI:

    10.14236/ewic/HCI2017.38

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    004.2 Systems analysis, design & performance

  • Funders:

    Edinburgh Napier Funded

Citation

Benyon, D., & Resmini, A. (in press). User Experience in Cross-channel Ecosystems. In Proceedings of the British HCI Conference 2017https://doi.org/10.14236/ewic/HCI2017.38

Authors

Keywords

blended space, contextual blending, cross-channel, place, place-making, user experience, information architecture; ACM Classification Keywords; H5m Information interfaces and presentation

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    © D. Benyon, ACM 2017. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 31st International BCS Human Computer Interaction Conference (HCI 2017), http://dx.doi.org/10.14236/ewic/HCI2017.38

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