32 research outputs found

    Formal representation of ambulatory assessment protocols in HTML5 for human readability and computer execution

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    Ambulatory assessment (AA) is a research method that aims to collect longitudinal biopsychosocial data in groups of individuals. AA studies are commonly conducted via mobile devices such as smartphones. Researchers tend to communicate their AA protocols to the community in natural language by describing step-by-step procedures operating on a set of materials. However, natural language requires effort to transcribe onto and from the software systems used for data collection, and may be ambiguous, thereby making it harder to reproduce a study. Though AA protocols may also be written as code in a programming language, most programming languages are not easily read by most researchers. Thus, the quality of scientific discourse on AA stands to gain from protocol descriptions that are easy to read, yet remain formal and readily executable by computers. This paper makes the case for using the HyperText Markup Language (HTML) to achieve this. While HTML can suitably describe AA materials, it cannot describe AA procedures. To resolve this, and taking away lessons from previous efforts with protocol implementations in a system called TEMPEST, we offer a set of custom HTML5 elements that help treat HTML documents as executable programs that can both render AA materials, and effect AA procedures on computational platforms.</p

    Does location congruence matter? : A field study on the effects of location-based advertising on perceived ad intrusiveness, relevance &amp; value

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    We investigate the effect of location-congruent mobile messages on perceived intrusiveness, value, and relevance through a field experiment using the Experience Sampling Method (ESM). We developed a mobile application for undergraduate students, featuring campus news and information concerning class schedules. This application also included daily ads for the University restaurant, which were either location-(semi)congruent or location-incongruent. Immediately after viewing the ads the app presented a short questionnaire to the participants for a period of four weeks, thereby measuring their perceived intrusiveness, relevance and value of these ads. During these four weeks daily ads were sent to 40 students, resulting in 107 responses from 23 participants. The results show that our participants perceived location-(semi)congruent ads as significantly more valuable and relevant, whereas no significant results were found for perceived intrusiveness. By investigating LBA in a field-study based on ESM utilizing participants’ own smartphone devices this study corroborates the presumed effects of location-(semi)congruency on marketing relevant ad perceptions.</p

    Does location congruence matter? : A field study on the effects of location-based advertising on perceived ad intrusiveness, relevance &amp; value

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    We investigate the effect of location-congruent mobile messages on perceived intrusiveness, value, and relevance through a field experiment using the Experience Sampling Method (ESM). We developed a mobile application for undergraduate students, featuring campus news and information concerning class schedules. This application also included daily ads for the University restaurant, which were either location-(semi)congruent or location-incongruent. Immediately after viewing the ads the app presented a short questionnaire to the participants for a period of four weeks, thereby measuring their perceived intrusiveness, relevance and value of these ads. During these four weeks daily ads were sent to 40 students, resulting in 107 responses from 23 participants. The results show that our participants perceived location-(semi)congruent ads as significantly more valuable and relevant, whereas no significant results were found for perceived intrusiveness. By investigating LBA in a field-study based on ESM utilizing participants’ own smartphone devices this study corroborates the presumed effects of location-(semi)congruency on marketing relevant ad perceptions.</p

    Representation and Execution of Ambulatory Assessment Protocols in Software

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    Introducing tempest, a modular platform for in situ data collection

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    In this paper we present Tempest, a tool for conducting studies that rely on in situ data collection, such as the Experience Sampling and Diary methods. It implements a modular architecture and relies on interchangeable parts to allow for increased suitability for multiple purposes and long-term reliability. Tempest focuses on ease of use and deployment, and on making use of participants' own devices

    Introducing tempest, a modular platform for in situ data collection

    No full text
    In this paper we present Tempest, a tool for conducting studies that rely on in situ data collection, such as the Experience Sampling and Diary methods. It implements a modular architecture and relies on interchangeable parts to allow for increased suitability for multiple purposes and long-term reliability. Tempest focuses on ease of use and deployment, and on making use of participants' own devices

    Executable HTML

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    Executable HTML is a collection of custom HTML elements that offer document authors the ability to write and execute procedural logic in HTML5. We discuss the motivation of this approach, which lies in the composition of formal Ambulatory Assessment protocols for clinical psychology research, and provide an overview of the software's inner workings. For researchers in that field, the proposition allows a single HTML document to function as a both human-readable and computer-executable representation of a data collection protocol that can make easier the dissemination and replication of research

    Using TEMPEST:End-User Programming of Web-Based Ecological Momentary Assessment Protocols

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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

    Using TEMPEST:End-user programming of web-based ecological momentary assessment protocols

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    \u3cp\u3eResearchers 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.\u3c/p\u3
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