A context-aware experience sampling tool
CHI '03 Extended Abstracts on Human Factors in Computing Systems
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
Xensible interruptions from your mobile phone
Proceedings of the 9th international conference on Human computer interaction with mobile devices and services
Computerized experience sampling in the car: issues and challenges
Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
| Hi-index | 0.00 |
In this paper we present "MAESTRO" a novel concept to study behavior in realistic environments based on the experience sampling method (ESM). It constitutes a variation of ESM by giving researchers the possibility to dynamically and remotely "orchestrate" experience-sampling studies for evaluating usage behavior in various different contexts. MAESTRO allows user behavior driven and context triggered experience sampling by using a client-server architecture. So far a variation of different computerized ESM tools have been introduced capable of delivering questionnaires triggered by contextual information on mobile devices. We propose to enhance ESM by not only using context and user actions as a trigger for ESM questions, but also by exploiting long term user behavior and usage patterns for shaping personalized ESM questions to different types of users. Our concept lays the foundation of measuring user experience not only in a mobile but in a magnitude of different contexts. As a proof of concept we present an implementation of our approach on BlackBerry devices along with initial results of a case study validating this approach.