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- All Subjects: 19765
- Creators: Takamura, John
- Creators: Kroelinger, Michael D.
- Member of: Theses and Dissertations
- Status: Published
This research assesses the emotional perception of aesthetic values in 2D and 3D teapots. A teapot image collection and taxonomy was constructed with 101 images of teapots across four centuries. Eighty-four participants completed a card sorting task of twenty randomly distributed teapot images (taken from the total 101 image collection) into Plutchik's eight emotion categories. Individual pieces of the teapots were coded according to the base, handle, lid, or spout that was presented in the image. The coded pieces from the card-sorting task were arranged per frequency in the overall set. Through the use of response data from the card sorting task, a network of the images was developed in Pathfinder. The content of these results were compared to images of models gathered during an interview with an interactive co-creation method referred to as Magnetic Modeling. Magnetic Modeling is a methodological tool that allowed participants to manipulate individualized pieces of 3D printed teapots into proposed emotional labels.
The findings of this research establish prototypical associations in aesthetic traits and teapot piece combinations for each emotion category. Participant responses were categorized into 4 personas representing the types of perceptual bias in the studies' participants. A discussion and comparison of the methods for academic and theoretical practice is provided.
A magnetic wireframe tool has been used as a `make tool', and a sample project has been defined in order to see how the tool can create empathy among stakeholders. In this study fourth year graphic design students at Arizona State University (ASU), USA, are participating as users, faculty members have the role of clients, and Forty, Inc., a design firm in the Phoenix area, is the design team for the study. All of these three groups are cooperating on re-designing the homepage of the Design School in Herberger Institute for Design and Art (HIDA) at ASU.
A method for applying the magnetic tool was designed and used for each group. Results of users and clients' activities were shared with the design team, and they designed a final prototype for the wireframe of the sample project. Observation and interviews were done to see how participants work with the tool. Also, follow up questionnaires were used in order to evaluate all groups' experiences with the magnetic wireframe. Lastly, as a part of questionnaires, a sentence completion method has been used in order to collect the participants' exact thoughts about the magnetic tool.
Observations and results of data analysis in this research show that the tool was a helpful `make tool' for users and clients. They could talk about their ideas and also designers could learn more about people. The entire series of activities caused an empathetic relationship among stakeholders of the sample project. This method of using `make tools' in user experience design for web sites can be useful for collaborative UX design activities and further research in user experience design with empathy.
Social media sites focusing on health-related topics are rapidly gaining popularity among online health consumers, also known as "e-patients". The increasing adoption of social media by e-patients and their demand for reliable health information has prompted several health care organizations (HCOs) to establish their social media presence. HCOs are using social media to connect with current and potential e-patients, and improve patient education and overall quality of care. A significant benefit for HCOs in using social media could potentially be the improvement of their quality of care, as perceived by patients. Perceived quality of care is a key determinant of patients' experience and satisfaction with health care services, and has been a major focus of research. However, there is very little research on the relationship between patients' online social media experience and their perceived quality of care. The objective of this research was to evaluate e-patients' online experience with an HCO's social media sites and examine its impact on their perceived quality of care. Research methodology included a combination of qualitative and quantitative approaches. Data for this study was collected from Mayo Clinic's social media sites through an online survey. Descriptive statistics were used to identify basic demographic profiles of e-patients. Linear regression analysis was used to examine the relationship between online experience and perceived quality of care. Qualitative data was analyzed using thematic analysis. Results showed a positive relationship between online experience and perceived quality of care. Qualitative data provided information about e-patients' attitudes and expectations from healthcare social media. Overall, results yielded insights on design and management of social media sites for e-patients, and integration of these online applications in the health care delivery process. This study is of value to HCOs, health communicators and social media designers, and will also serve as a foundation for subsequent studies in the area of health care social media.