Improving a human-computer dialogue
Communications of the ACM
Cognitive Work Analysis: Towards Safe, Productive, and Healthy Computer-Based Work
Cognitive Work Analysis: Towards Safe, Productive, and Healthy Computer-Based Work
Energy aware dwelling: a critical survey of interaction design for eco-visualizations
Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat
Supporting gardeners to plan domestic watering: a case study of designing an 'everyday simulation'
Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat
Living on the hedge: creating an online smart garden watering community
Proceedings of the 22nd Conference of the Computer-Human Interaction Special Interest Group of Australia on Computer-Human Interaction
Proceedings of the 13th international conference on Ubiquitous computing
Using mobile phones for promoting water conservation
Proceedings of the 23rd Australian Computer-Human Interaction Conference
Community engagements with living sensing systems
Proceedings of the 9th ACM Conference on Creativity & Cognition
Promoting pro-environmental behaviour: a tale of two systems
Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration
| Hi-index | 0.00 |
SmartGardenWatering is an innovative software tool that advises gardeners on watering schedules and watering use. In this paper we investigate how expert and novice gardeners respond to advice from this piece of computer software. Do they readily accept it and adapt their activities accordingly, or do they override it with their own local knowledge? We describe the project to develop the simulation, including the design of the user interface, and a study of 20 gardeners using the tool. The focus of the study was to identify factors in the design of the software that influence how well it might intervene in ongoing gardening practice. The findings focus on what brings confidence or a lack of trust in the underlying horticultural model and its application to a particular garden. Finally, we consider how these findings might inform ongoing development of the software.