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Dietary choices are a leading global cause of mortality and environmental degradation that threaten the attainability of the UN’s Sustainable Development Goals and the Paris Climate Agreement [1]. It thus becomes important to find ways to reduce its environmental impact and facilitate healthy consumption patterns. Humans use values as guiding standards, in making judgements [4] which in turn contribute to product choices in the grocery shopping process. The focus of this thesis is to help consumers of large retail supermarkets to make informed choices, aligned with their personal goals, to develop a value-centric purchasing habit with the ultimate aim of lowering the impact on the environment and the negative effects on the health of the consumers. By using the design thinking process along with the behavior change wheel framework it was possible to empathize with and understand the target user group to identify design features for the mobile application suggested by this thesis. To achieve value centric purchasing habits, the most promising observation was to provide all the necessary information at the grocery planning phase. This would enable informed-choice-making, in line with the personal goals of the consumers while making grocery lists. It is assumed in this thesis that consumers purchase the same brand and product added to their shopping list. Along with the information on products, visualizations of the target shopping patterns against their actual shopping patterns are presented to the user. This would in turn help consumers make the right decision by providing an overview of how their product choices influence in reaching their target goals. Based on commonly used and easily understandable visualization methods, a radar chart and line chart depicting their past purchase patterns and goals were evaluated against each other with usability tests. The visualizations and interactions were supplemented with clear legends to ensure that the consumers perceived what was intended. Use of animations on these visualizations was suggested to increase the understanding and effectiveness in the communication of its data. While both these methods had their own strengths and weaknesses the radar chart was better received and was thus suggested for use in the development of the application.
Osteoarthritis (OA) is the world’s most common joint disease caused by a de- generation of the cartilage. Its treatment is possible through early detection and symptom care. By understanding the risk of progression of Osteoarthritis and facilitating the consultation of patients and doctors at an early stage this care can be provided. This thesis focuses on uncovering the core considerations that are to be taken when designing an interactive tool that will help both patients and doctors in the care of early knee OA. This thesis uses the Algoa Progress prediction, which predicts and quantifies a patient’s Osteoarthritis risk evolution based on MRI images and weight changes. The methods used are divided into three areas, qualitative user requirement gathering, an iterative design process and an evaluation process. An interface prototype was developed after co-design sessions, and by using a mock consultation as the evaluation process it was uncovered that it was beneficial to have separate interface views for the doctors and the patients. Moreover, by engaging patients by means of a slider interaction with the interface, there was feelings of inclusion and increased patient-doctor engagement. Doctors were found to trust the designed interface for medical decisions more, due to the use of weight as the only modifiable risk factor. Through a final analysis of the methodology findings, the core considerations for designing an interface for consultations involved in early OA treatment include unifying the needs of doctors and patients through two views, keeping human factors in the loop through control, trust and cultural considerations, and leveraging involvement through interaction to motivate positive behavioral changes.