All Outputs (4)

The Connected Shower: Studying Intimate Data in Everyday Life (2018)
Journal Article
Kwon, H., Fischer, J. E., Flintham, M., & Colley, J. (2018). The Connected Shower: Studying Intimate Data in Everyday Life. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(4), 1-22. https://doi.org/10.1145/3287054

This paper presents the design and field study of the Connected Shower, a bespoke IoT device that captures water flow, temperature, shower-head movement, and shower product weight. We deployed the device in six UK homes for a week to understand the u... Read More about The Connected Shower: Studying Intimate Data in Everyday Life.

'This is not what we wanted': designing for conversation with voice interfaces (2018)
Journal Article
Reeves, S., Porcheron, M., & Fischer, J. (2019). 'This is not what we wanted': designing for conversation with voice interfaces. InterActions, 26(1), 46-51. https://doi.org/10.1145/3296699

Design is increasingly said to be about constructing conversations with end users [1]. Advances in underlying voice-related [2] technologies, coupled with the spread of voice-driven agents and dedicated devices such as the Amazon Echo, Google Home, a... Read More about 'This is not what we wanted': designing for conversation with voice interfaces.

“What do you want for dinner?”: need anticipation and the design of proactive technologies for the home (2018)
Journal Article
Hyland, L., Crabtree, A., Fischer, J. E., Colley, J., & Fuentes, C. (in press). “What do you want for dinner?”: need anticipation and the design of proactive technologies for the home. Computer Supported Cooperative Work, https://doi.org/10.1007/s10606-018-9314-4

This paper examines ‘the routine shop’ as part of a project that is exploring automation and autonomy in the Internet of Things. In particular we explicate the ‘work’ involved in anticipating need using an ethnomethodological analysis that makes visi... Read More about “What do you want for dinner?”: need anticipation and the design of proactive technologies for the home.

Provenance Network Analytics: An approach to data analytics using data provenance (2018)
Journal Article
Huynh, T. D., Ebden, M., Fischer, J., Roberts, S., & Moreau, L. (2018). Provenance Network Analytics: An approach to data analytics using data provenance. Data Mining and Knowledge Discovery, 32(3), 708-735. https://doi.org/10.1007/s10618-017-0549-3

Provenance network analytics is a novel data analytics approach that helps infer properties of data, such as quality or importance, from their provenance. Instead of analysing application data, which are typically domain-dependent, it analyses the da... Read More about Provenance Network Analytics: An approach to data analytics using data provenance.