An introduction to computerized experience sampling in psychology
Social Science Computer Review
Momento: support for situated ubicomp experimentation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones
Proceedings of the 5th international conference on Mobile systems, applications and services
Reconexp: a way to reduce the data loss of the experiencing sampling method
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
UbiGreen: investigating a mobile tool for tracking and supporting green transportation habits
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A mobile tool for in-situ prototyping
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
The state of the art in end-user software engineering
ACM Computing Surveys (CSUR)
Proceedings of the 2011 ACM Symposium on Applied Computing
Introducing tempest, a modular platform for in situ data collection
Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design
| Hi-index | 0.00 |
Computerized tools for in-situ data collection from study participants have proven invaluable in many diverse fields. The platforms developed within academic settings, eventually tend to find themselves abandoned and obsolete. Newer tools are susceptible to meeting a similar fate. We believe this is because, although most of the tools try to satisfy the same functional requirements, little attention has been paid to their development models also keeping in line. In this paper we propose an architectural model, which satisfies established requirements and also promotes extensibility, interoperability and cross-platform functionality between tools. In doing so, we aim to introduce development considerations into the larger discussion on the design of such platforms.