The Best Fit Framework for Human Computer Interaction Research ‒ Is it possible?

Abstract: The Best Fit Framework, originally proposed by Carroll et al. (2013) to synthesize qualitative data has been successful to conduct a review of the literature to produce models or frameworks for decision making and health behaviours. While successful in health behaviours, it has not been implemented within Human-Computer Interaction before. This paper aims to convey knowledge, experiences, and recommendations towards the use of the Best Fit Framework to synthesize data in the field of Human-Computer Interaction. The Best Fit Framework involves various stages. The first two stages run simultaneously and involve identifying relevant frameworks, models, or theories, using the BeHEMoTh (Behaviour of Interests; Health Context; Exclusions; Models, Theories, Frameworks) search technique, and to identify relevant primary research studies with qualitative evidence, using the SPIDER (Setting/Population; Phenomenon of Interest; Design, Evaluation, Research) search technique. The selected theories, frameworks, or models are then reduced to key elements and used as themes in the new framework. These themes are interpreted and compared to new or similar types of themes across the literature, found with the SPIDER technique. New identified themes are incorporated to create an updated framework. After the framework is created, it is tested as a final part of the synthesis process. To apply the Best Fit Framework in the field of Human-Computer Interaction, the researchers expanded the context of BeHEMoTh. The researchers sought to also include the prevention or minimization of Cybersickness. The inclusion of quantitative primary research studies as part of the SPIDER technique was added, as the original SPIDER technique focused on qualitative studies which assisted in expanding the pool of primary research studies. The last change addressed how the framework synthesis was tested. Rather than only revisiting evidence to create and explore relationships, the researchers evaluated as part of the newly created CyPVICS framework in a real-world case study to determine validity. The case study compared the usability and user experience of two immersive Virtual Reality navigation methods, namely touch controllers vs. omnidirectional treadmill, in the training of nursing students. In conclusion, the Best Fit Framework proved to be adaptable and useful in Human-Computer Interaction research.

Keywords: Best Fit Framework, Human-Computer Interaction, Cybersickness, Virtual Reality

DOI: 10.54941/ahfe1005463

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