Cascadia: A System for Specifying, Detecting, and Managing RFID Events
Proceedings of the 6th international conference on Mobile systems, applications, and services
Communications of the ACM - Scratch Programming for All
The case for end-user programming of ubiquitous computing environments
Proceedings of the FSE/SDP workshop on Future of software engineering research
The first interaction design pattern library for internet of things user created applications
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
iCAP: interactive prototyping of context-aware applications
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Ubicomp Systems at 20: Progress, Opportunities, and Challenges
IEEE Pervasive Computing
Specification and verification of complex location events with panoramic
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
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Smart spaces, either public or private, has been a hot topic for more than a decade. They are claimed to bring various advantages for their users. However, only few people are actually using smart spaces. One of the reasons for that is the lack of attention paid to user interfaces used to control the space. Both industrial and academic research is often focused on hardware and device interoperability issues. There is not enough studies about end-user mental models, how and why people want to control and program smart spaces. In this position paper, we propose a strategy of how to bring end-user programming in smart spaces into real life. Our idea is three-fold: 1) concentrate on users' mental models, 2) create intuitive ubiquitous user interface, which combines the direct interaction pattern and the magnetic poetry interface metaphor, and 3) install a control system in a public smart space, where a lot of people can use it on daily basis. We aim to conduct a long term user study, from which we are planning to get unique data about evolution of people's expectations and mental models in the context of smart space control.