Abstract

AbstractThe capture and analysis of diverse data is widely recognized as being vital to the design of new products and services across the digital economy. We focus on its use to inspire the co-design of visitor experiences in museums as a distinctive case that reveals opportunities and challenges for the use of personal data. We present a portfolio of data-inspired visiting experiences that emerged from a 3-year Research Through Design process. These include the overlay of virtual models on physical exhibits, a smartphone app for creating personalized tours as gifts, visualizations of emotional responses to exhibits, and the data-driven use of ideation cards. We reflect across our portfolio to articulate the diverse ways in which data can inspire design through the use of ambiguity, visualization, and inter-personalization; how data inspire co-design through the process of co-ideation, co-creation, and co-interpretation; and how its use must negotiate the challenges of privacy, ownership, and transparency. By adopting a human perspective on data, we are able to chart out the complex and rich information that can inform design activities and contribute to datasets that can drive creativity support systems.

Highlights

  • Data is increasingly vital to products and services across the digital economy

  • We report the results of a 3-year Research Through Design (RTD) process (Zimmerman et al, 2007) in which we partnered with museums and galleries to design, deploy, and Downloaded from https://www.cambridge.org/core

  • While these processes and loops may interleave, it is useful to recognize them as being distinctive in terms of how their loops operate and how they are framed for visitors

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Summary

Introduction

Data is increasingly vital to products and services across the digital economy. Some are digitally native, such as social media, whose content is largely provided by its users and whose algorithms are subsequently shaped by their behaviors. (Note that photographic images of faces were never captured; the only data necessary for detecting the social cues related to emotions are the relationships between points such as eyes, mouth, nose, and jawline, and only these are subjected to algorithmic analysis.) This data-driven approach was woven together with a privacy-by-design commitment, by which a core requirement of the design is to communicate to the visitors the nature of the data being collected, and its value to them and to the hosting venue For this experience, we partnered with the National Videogame Arcade, a museum hosted at the time in the city center of Nottingham. One identified strength of Cardographer is its ability to securely retain detailed, re-accessible information to remind users of where they left off in workshops that take place over multiple sessions! The combination of VisitorBox and Cardographer tools captures otherwise ephemeral data, provides context, and visualizes data to assess, inform, and potentially drive future design by museums and galleries

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