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dc.contributor.advisorMacpherson, Sarah
dc.contributor.advisorMoore, Adam
dc.contributor.authorConstantinescu, Alexandra Caterina
dc.date.accessioned2018-07-23T10:19:32Z
dc.date.available2018-07-23T10:19:32Z
dc.date.issued2018-11-28
dc.identifier.urihttp://hdl.handle.net/1842/31397
dc.description.abstractThe principal aim of this doctoral research has been to investigate whether various popular methods of emotion elicitation perform differently in terms of self-reported participant affect - and if so, whether any of them is better able to mimic real-life emotional situations. A secondary goal has been to understand how continuous affect can be classified into discrete categories - whether by using clustering algorithms, or resorting to human participants for creating the classifications. A variety of research directions subserved these main goals: firstly, developing data-driven strategies for selecting 'appropriate' stimuli, and matching them across various stimulus modalities (i.e., words, sounds, images,films and virtual environments / VEs); secondly, comparing the chosen modalities on various self-report measures (with VEs assessed both with and without a head-mounted display / HMD); thirdly, comparing how humans classify emotional information vs. a clustering algorithm; and finally, comparing all five lab-based stimulus modalities to emotional data collected via an experience sampling phone app. Findings / outputs discussed will include a matched database of stimuli geared towards lab use, how the choice of stimulus modality may affect research results, the links (or discrepancies) between human and machine classification of emotional information, as well as range restriction affecting lab stimuli relative to `real-life' emotional phenomena.en
dc.language.isoenen
dc.publisherThe University of Edinburghen
dc.relation.hasversionConstantinescu, A. C., Wolters, M., Moore, A., & MacPherson, S. E. (2016). A cluster-based approach to selecting representative stimuli from the International Affective Picture System (IAPS) database. Behavior Research Methods, 1-17.en
dc.subjectemotion elicitationen
dc.subjectvirtual realityen
dc.subjectexperience samplingen
dc.subjectemotion categorisationen
dc.subjectIAPSen
dc.subjectANEWen
dc.subjectIADS-2en
dc.titleImportance of selecting research stimuli: a comparative study of the properties, structure and validity of both standard and novel emotion elicitation techniquesen
dc.typeThesis or Dissertationen
dc.type.qualificationlevelDoctoralen
dc.type.qualificationnamePhD Doctor of Philosophyen
dc.rights.embargodate2019-11-28en
dcterms.accessRightsRestricted Accessen


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