This study will provide background information about the region of Bangladesh,more specifically the coastal rural area of Bangladesh. This region has due to theglobal warming become a very disaster-prone region where disaster resilience workhas become increasingly relevant. Displacement of the rural coastal population dueto disasters is an ongoing issue in Bangladesh which inhibits the large urbanization the capital city, Dhaka faces. This has increased the need of housing which has stimulated the brick industry that has increased its contribution to BangladeshGDP the last years. Though the brick industry has traditionally been dominated by environmentally unfriendly methods that has caused deforestation and severe air pollution contributing to the cause of its demand creating a negative feedbackloop. This study will analyse four different building materials including the tradition alone by collecting data, creating analyse models and discussing them to find a more financial, environmental and technical suitable alternative to respondto the current situation to try turn the tide focusing on the rural coastal areas of Bangladesh.

Increasing the environmental awareness of invisible data, such as a city’s air pollution or a household’s energy consumption, has been an ongoing information visualization challenge that has entered the fields of immersive technologies like augmented (AR) and mixed reality (MR). In order to understand how form and dimensional affect this understanding for MR environments, this research investigated what the difference between statistical, iconographic 2D and physical 3D visualizations is with regards to minimizing cognitive load and fostering environmental awareness. By following a HCD process, two MR prototypes were developed for the HoloLens 2 which depicted invisible gas leak data. They were evaluated through a survey and usability study with 14 experts and non-experts, using SAGAT, NASA-TLX and other questionnaires. The results suggest that there is no significant difference between statistical, iconographic 2D and physical 3D visualizations in terms of environmental awareness and cognitive load. However, an analysis of the effect size and qualitative post-interview data imply that the physical 3D visualization led to a higher environmental awareness in all its three dimensions, while an analysis of the cognitive load sub-dimensions indicate that the statistical, iconographic 2D visualization was better suited for lowering cognitive load. / Att öka medvetenheten om osynliga data, såsom luftförororeningar i en stad eller hushållens energiförbrukning, har varit en pågående utmaning inom informationsvisualisering som har nått fram till områden inom immersiva teknologier som förstärkt verklighet (AR) och blandad verklighet (MR). För att förstå hur form och dimension påverkar denna förståelse i MR-miljöer, undersökte denna forskning skillnaden mellan statistiska, ikonografiska 2D- och fysiska 3D-visualiseringar när det gäller att minska kognitiv belastning och främja miljömedvetenhet. Genom att följa en HCD-process utvecklades två MR-prototyper för HoloLens 2 som skildrade osynliga gasläckagedata. De utvärderades genom en enkät- och användbarhetsstudie med 14 experter och icke-experter, där SAGAT, NASA-TLX och andra enkäter användes. Resultaten antyder att det inte finns någon signifikant skillnad mellan statistiska, ikonografiska 2D- och fysiska 3D-visualiseringar när det gäller miljömedvetenhet och kognitiv belastning. Dock antyder en analys av effektstorleken och kvalitativa postintervjudata att den fysiska 3D-visualiseringen ledde till en högre miljömedvetenhet i alla sina tre dimensioner, medan en analys av underdimensionerna för kognitiv belastning indikerar att den statistiska, ikonografiska 2D-visualiseringen var bättre lämpad för att minska kognitiv belastning.