idAnimate – Supporting Conceptual Design with Animation-Sketching

Quevedo-Fernández, Javier; Martens, Jean-Bernard

doi:10.1007/978-3-319-29155-0_12

Cited by 1 publication

(1 citation statement)

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“…In D4, D5 and D11, the researchers reported that the use of TEMPEST offered several benefits; the number of entries per day was not constrained by the physical size (number of pages provided) of the diary, they could monitor the data collection while it was going on, and they did not have to transfer data manually from paper to digital spreadsheet. [43] to sample intentions for using software features [5]. interaction design (event) Over the course of 602 days, a population of 4157 unique users provided a total of 8316 sessions.…”

Section: Event-contingent Recordingmentioning

confidence: 99%

Using TEMPEST

Batalas

Rot

Khan

et al. 2018

Proc. ACM Hum.-Comput. Interact.

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Researchers who perform Ecological Momentary Assessment (EMA) studies tend to rely on informatics experts to set up and administer their data collection protocols with digital media. Contrary to standard surveys and questionnaires that are supported by widely available tools, setting up an EMA protocol is a substantial programming task. Apart from constructing the survey items themselves, researchers also need to design, implement, and test the timing and the contingencies by which these items are presented to respondents. Furthermore, given the wide availability of smartphones, it is becoming increasingly important to execute EMA studies on user-owned devices, which presents a number of software engineering challenges pertaining to connectivity, platform independence, persistent storage, and back-end control. We discuss TEMPEST, a web-based platform that is designed to support non-programmers in specifying and executing EMA studies. We discuss the conceptual model it presents to end-users, through an example of use, and its evaluation by 18 researchers who have put it to real-life use in 13 distinct research studies.

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Section: Event-contingent Recordingmentioning

confidence: 99%