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Designing for Effective Interactions with Data in the Internet of Things

Wolff, Annika; Seffah, Ahmed; Kortuem, Gerd and van der Linden, Janet (2018). Designing for Effective Interactions with Data in the Internet of Things. In: Proceedings of the 2018 ACM Conference Companion Publication on Designing Interactive Systems, 9-13 Jun 2018, Hong Kong, China, ACM Press, pp. 415–418.

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The Internet of Things (IoT), a type of cyber-physical system, has led to a drastic growth in the number of devices and sensors connected to each other and to the digital word. This has further led to an exponential increase in the amount of data being produced and disseminated throughout such systems.

This data has the potential to provide valuable insights into user behavior that can inform a design process. It also comprises an important aspect of an IoT product or service that an end user might interact to gain actionable insights. For example, when to use energy in the home, how to avoid polluted or flooded areas, or to visit the shops at quiet times. These same users may also be one source of the data that is analysed to provide this intelligence. However, in many case more intelligence is gained by combining different data sets.

This raises questions about how to help both designers and end-users to get the most value from the insights acquired through the combination and analysis of IoT data, whilst being sensitive to issues around privacy and security of data contributed by the public. There is currently no clear framework to support designers in navigating through a design process that uses and combines such complex data.

The aim of this one day workshop is to explore how to effectively incorporate data into a design process and how to design for more effective interactions between humans and data within IoT technologies. It will also create a roadmap for development of new methods and tools to support responsible, data-driven, co-design of new IoT interactive products and services.

Item Type: Conference or Workshop Item
Copyright Holders: 2018 The Authors
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 55494
SWORD Depositor: Jisc Publications-Router
Depositing User: Jisc Publications-Router
Date Deposited: 22 Jun 2018 14:57
Last Modified: 05 Feb 2019 09:41
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