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| Titel: |
Lessons learned designing multi-modal Ecological Momentary Assessment tools |
| Auteur: |
French, Brian Siewiorek, Daniel P. Smailagic, Asim Kamarck, Thomas |
| Verschenen in: |
Technology & disability |
| Paginering: | Jaargang 22 (2010) nr. 1-2 pagina's 41-51 |
| Jaar: |
2010-06-16 |
| Inhoud: |
Ecological Momentary Assessment (EMA) is a technique used to collect real-time self-assessment data, often via interactive questionnaires. Frequently, EMA devices are implemented using PDAs. The PDA pen-based interaction is unsuitable for responding in certain situations that may be of interest, e.g. driving and walking, and is unsuitable for participants with physical impairments, e.g. visual or motor. This paper describes design principles for EMA devices, which evolved through experience developing two mobile systems implementing six interaction modalities to support an EMA questionnaire application. CogTool was used to develop Keystroke-Level Models (KLM) for six proposed input/output interaction modalities and platform combinations. KLMs permit estimation of inter-action time for alternative modalities during the design phase, taking a fraction of the time needed to implement and test even a simple button interface prototype. The contributions of this paper are a set of design principles applicable to the development of real-time, mobile interview systems and an evaluation of KLM predictions showing them to be within 3% to 20% of measured results. Models were verified through four pilot tests, with 58 participants completing 1608 questionnaires on prototype EMA devices. |
| Uitgever: |
IOS Press |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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