Predicting human interruptibility with sensors: a Wizard of Oz feasibility study
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A context-aware experience sampling tool
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Using the Experience Sampling Method to Evaluate Ubicomp Applications
IEEE Pervasive Computing
Examining the robustness of sensor-based statistical models of human interruptibility
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Presence versus availability: the design and evaluation of a context-aware communication client
International Journal of Human-Computer Studies
Discovering Statistics Using SPSS
Discovering Statistics Using SPSS
Using context-aware computing to reduce the perceived burden of interruptions from mobile devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Acoustic environment classification
ACM Transactions on Speech and Language Processing (TSLP)
Context-aware telephony: privacy preferences and sharing patterns
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
International Journal of Human-Computer Studies
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
Xensible interruptions from your mobile phone
Proceedings of the 9th international conference on Human computer interaction with mobile devices and services
Using visualizations to increase compliance in experience sampling
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
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Pocket Interview is an easily configurable handheld electronic data collection and diary tool. The Pocket Interview system can be used to apply experience sampling methods that allow the collection of data in real-time and in the user's natural environment. The system client is usually run on a personal digital assistant or smartphone. It can prompt the user to make diary entries at fixed and/or random intervals and includes an option that allows this sampling to be 'guided' whereby inconvenient prompts are temporarily deferred until a more convenient time through the use of contextual audio information. Subjects participating in real-time studies require high levels of commitment and exhibit difficulties maintaining their motivation. This paper describes a series of studies using Pocket Interview that explore how Guiding offers to reduce the perceived burden on study participants, improve response rates and increase the quantity and quality of replies.