All Outputs (3)

Discomfort—the dark side of fun (2018)
Book Chapter
Benford, S., Greenhalgh, C., Giannachi, G., Walker, B., Marshall, J., Tennent, P., & Rodden, T. (2018). Discomfort—the dark side of fun. In M. Blythe, & A. Monk (Eds.), Funology 2: from usability to enjoyment (209-224). Springer. https://doi.org/10.1007/978-3-319-68213-6_13

For many of us, the notion of ‘fun’ conjures up visions of experiences that are amusing, pleasant, entertaining, playful—perhaps even frivolous. Rides, games, shows and perhaps even the experience of visiting an art gallery can embody these senses of... Read More about Discomfort—the dark side of fun.

Learning from the Veg Box: Designing Unpredictability in Agency Delegation (2018)
Conference Proceeding
Verame, J. K. M., Costanza, E., Fischer, J. E., Crabtree, A., Ramchurn, S. D., Rodden, T., & Jennings, N. R. (2018). Learning from the Veg Box: Designing Unpredictability in Agency Delegation. In CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (1-13). https://doi.org/10.1145/3173574.3174021

The Internet of Things (IoT) promises to enable applications that foster a more efficient, sustainable, and healthy way of life. If end-users are to take full advantage of these developments we foresee the need for future IoT systems and services to... Read More about Learning from the Veg Box: Designing Unpredictability in Agency Delegation.

A Method for Evaluating Options for Motif Detection in Electricity Meter Data (2018)
Journal Article
Dent, I., Craig, T., Aickelin, U., & Rodden, T. (2018). A Method for Evaluating Options for Motif Detection in Electricity Meter Data. International Journal of Data Science, 16(1), 1-28. https://doi.org/10.6339/jds.201801_16%281%29.0001

Investigation of household electricity usage patterns, and matching the patterns to behaviours, is an important area of research given the centrality of such patterns in addressing the needs of the electricity industry. Additional knowledge of househ... Read More about A Method for Evaluating Options for Motif Detection in Electricity Meter Data.