Objective
MEC (Presence: Measurement, Effects, Conditions) has three objectives. The first is to compare different methodologies that measure Presence experiences from a psychology-based theoretical model. Secondly, questionnaire, think-aloud, distraction-paradigm, eye-movement recording and functional magnetic resonance imaging (fMRI) methodologies will be tested in different media settings. The role of Presence experiences in media-based learning processes will be investigated in the contacts of educational hypertext and VR/multimedia systems. MEC's third goal is to investigate the influence of users' motivational dispositions and skills on the development of Presence experiences. MEC will advance the methodology of Presence research, investigate interactive and immersive educational media and the psychological determinants of Presence that have been neglected in past research. MEC (Presence: Measurement, Effects, Conditions) has three objectives. The first is to compare different methodologies that measure Presence experiences from a psychology-based theoretical model. Secondly, questionnaire, think-aloud, distraction-paradigm, eye-movement recording and functional magnetic resonance imaging (fMRI) methodologies will be tested in different media settings. The role of Presence experiences in media-based learning processes will be investigated in the contacts of educational hypertext and VR/multimedia systems. MEC's third goal is to investigate the influence of users' motivational dispositions and skills on the development of Presence experiences. MEC will advance the methodology of Presence research, investigate interactive and immersive educational media and the psychological determinants of Presence that have been neglected in past research.
OBJECTIVES
MEC will contribute to the conceptualisation and measurement of Presence. A comparative investigation of the benefits of different measurement approaches (questionnaire, think-aloud, distraction paradigm, eye-movement recording, fMRI) will strengthen Presence Research methodology. Different effects and conditions of Presence will emerge from studying the role of Presence in media-based learning, within educational hypertext and VR systems. The project will look at the psychological conditions of Presence, especially the motivations and capabilities of the users. MEC collaborate on interdisciplinary, multi-theory and multi-method research on the nature of Presence, its effects and determinants.
DESCRIPTION OF WORK
The fist half of MEC's work plan is dedicated to the comparative methodological studies on Presence research. Beginning with the elaboration of a dimensional model of Presence experiences that is based on psychology theory, media studies, neuropsychology and communication science in general. MEC will test five different methodologies to measure Presence (questionnaire, think-aloud, distraction paradigm, eye-movement recording and functional magnetic resonance imaging (fMRI)). All measures will be applied to several media settings: Linear text, hypertext, film and VR/multimedia environments. These settings are expected to elicit Presence on different dimensions, and with different intensities of experiences.
Our research strategy will provide some conclusions on the relative benefits of different of measurement methodologies, as well as their (dis-) advantages in practical use. The final MEC experiments address:
1) the effects of Presence on learning;
2) the influence of users' motivations and skills on the formation of Presence experiences.
These experiments will use the hypertext materials and the VR/multimedia environment from the methodological studies. Subjects will be screened for the user attributes under study, exposed to the educational media setting and subsequently tested for learning performance. This research design will address Presence in media-based learning processes and illustrate the role of psychological user variables that contribute to Presence experiences.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences psychology
- engineering and technology medical engineering diagnostic imaging magnetic resonance imaging
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
30175 HANNOVER
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.