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Current challenges in HCI-research: quantifying open experiences, warranting data quality, and developing standardized measures

Petralito, Serge. Current challenges in HCI-research: quantifying open experiences, warranting data quality, and developing standardized measures. 2019, Doctoral Thesis, University of Basel, Faculty of Psychology.

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Official URL: http://edoc.unibas.ch/diss/DissB_13282

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Abstract

The three manuscripts that make up this dissertation represent three chal- lenges of modern human-computer interaction (HCI) research and provide new in- sights, strategies, and recommendations for other researchers in this domain. The relatively new and fast-moving field of UX-research as yet provides insufficient theo- retical groundwork in certain areas of interest. The first manuscript depicts the way in which a mixed-method approach, including qualitative and quantitative strate- gies, was able to reveal new dimensions of interest in the domain of challenges and avatar death in player experiences, a field previously characterized by a lack of the theoretical frameworks needed to address certain phenomena. Recent research in HCI is further complicated by the increasing trend of online data collection, a method which is concerned to provide insufficient data quality and therefore prone to failed replications or false effects. The second manuscript therefore aimed at providing a systematic analysis of a crowdsourced sample and practical recommen- dations, applying various measures to detect inattentive behavior. Lastly, a lack of common conceptual definitions, including the according measuring instruments, im- poses another challenge on UX-researchers. The third manuscript revolves around the development and validation of a measure for trust on the web, a domain which previously lacked common concepts and measures.
Advisors:Opwis, Klaus and Nikitin, Jana
Faculties and Departments:07 Faculty of Psychology > Departement Psychologie > Society & Choice > Allgemeine Psychologie und Methodologie (Opwis)
UniBasel Contributors:Opwis, Klaus and Nikitin, Jana
Item Type:Thesis
Thesis Subtype:Doctoral Thesis
Thesis no:13282
Thesis status:Complete
Number of Pages:1 Online-Ressource (verschiedene Seitenzählungen)
Language:English
Identification Number:
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Last Modified:11 Oct 2019 04:30
Deposited On:10 Oct 2019 11:41

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