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1	Evaluation of Sustainability Data Visualisation in the Manufacturing Industry : A Design Proposal for a Sustainability Dashboard at Sandvik Coromant / Utvärdering av hållbarhetsdatavisualisering inom produktionsindustrin : Ett designförslag för ett hållbarhetsvisualiseringsverktyg på Sandvik Coromant Håkansdotter, Alva, Johansson, Linnéa January 2023 (has links) The awareness of the importance of sustainability in the manufacturing industry has increased over the past decade. An integral aspect of sustainability is the focus on circularity. Implementing a circular economy within a manufacturing company involves reducing the reliance on virgin materials, minimising resource consumption, and recycling or reusing materials for further production. However, only a few companies have developed a clear visualisation of their circularity efforts targeted towards customers. This thesis aims to investigate the most effective methods for visualising circularity data and to create a design prototype for Sandvik Coromant, a prominent metal-cutting manufacturing company. The research approach involves conducting interviews, reviewing relevant literature on circularity and data visualisation, and conducting design tests for Sandvik Coromant’s prototype. The findings of this study indicate a growing demand for circularity visualization in customer relations at the company. Additionally, further research is required on circularity within the manufacturing industry. It was also discovered that adherence to established guidelines for graphical integrity and usability is crucial when developing interactive visualizations. Lastly, standardizing visualizations for multiple manufacturing companies proves challenging due to variations in data points and the diverse nature of circularity practices across companies. Developing a standardised visualisation for a company’s circularity efforts is significant from an ethical and commercial standpoint. While the design prototype created in this study can serve as a template, customisation to fit the specific needs and circularity work of each company is essential for its effectiveness. / Under det senaste deceniet har medvetenheten av vikten av hållbarhet inom tillverkningsindustrin ökat. En viktig del av detta hållbarhetsarbete är fokuset på cirkularitet. Att implementera en cirkulär ekonomi inom ett tillverkningsföretag innebär att reducera användningen av nytt material, minimera resursförbrukningen och återvinna eller återanvända material för ytterligare produktion. Dock har endast ett fåtal företag utvecklat en tydlig visualisering av sitt cirkularitetsarbete riktad mot kunder. Denna rapport syftar till att undersöka vilka metoder som är mest effektiva for denna typ av visualisering, samt att skapa en designprototyp till Sandvik Coromant, ett framstående företag i metallbearbetningsindustrin. Forskningsmetodiken innefattar intervjuer, granskning av relevant litteratur om cirkularitet och datavisualisering samt designtester för Sandvik Coromants prototyp. Resultatet indikerar en växande efterfrågan på visualisering av cirkularitet i kundrelationer på tillverkningsföretag. Vidare identifierades att mer forskning om cirkularitet krävs inom tillverkningsindustrin. Det upptäcktes även att använding av etablerade riktlinjer för grafisk integritet och användbarhet är avgörande vid utvecklingen av interaktiva visualiseringar. Slutligen, att standardisera visualiseringar för flera tillverkningsföretag visar sig vara mycket komplext. På grund av variationer i datapunkter och den varierande naturen hos cirkularitetspraxis mellan företag behöver visualiseringarna visa olika områden. Att utveckla en standardiserad visualisering av ett företags cirkularitetsarbete är viktigt både ur ett etiskt och kommersiellt perspektiv. Även om designprototypen som skapats i denna studie kan fungera som en mall för andra visualiseringar, är det nödvändigt att anpassa en design efter ett företags specifika behov och cirkularitetsarbete för dess effektivitet. Data visualisation Circularity data Manufacturing Sustainability Figma Datavisualisering Cirkularitetsdata Tillverkning Hållbarhet Figma Computer and Information Sciences Data- och informationsvetenskap
2	Designing a Shared Listening Experience for an Audiobook Streaming Service : A UX and UI Project Eriksson, Mikaela, Reponen, Vilma January 2021 (has links) This study, done in collaboration with Storytel, aimed to investigate whether a shared audiobook live listening experience would add value to users of the Storytel app and how such a feature could be designed in terms of User Experience and User Interface. The purpose was to determine the minimal viable product (MVP) and if live listening with others is interesting in itself or else, what is the most basic interaction type required in connection to the listening. The aim was also to design the optimal solution, beyond technical, time and/or prioritization constraints. The method used was a combination of the IDEO design process with three phases (Inspiration, Ideation and Implementation), and Holtzblatt and Beyer’s (2016) five steps of Contextual Design (Gathering User Data, Compiling User Data, Ideation with User Data, Defining the Product and Making it Real). To investigate user opinions and requirements, surveys were sent out to Storytel users and authors on the four markets Sweden, Denmark, the Netherlands and India, resulting in a total of 448 responses. Based on this data, an extensive design work in three phases was carried out to achieve the result of a final design prototype of a live listening feature inside the Storytel app. In order to validate the design choices continuously in each phase, 15 user tests were achieved, whereof 4 initial tests, 10 interactive user tests and 1 focus group interview. The results show that there is certainly an interest for such a feature among some users, and the interest is bigger if an author participates. In general, users on the Indian market are more interested in the feature than users on the European markets. Authors are more interested than the average user in live listening and interacting with its listeners. An important finding was that the feature must include an element of interaction to make it relevant and interesting to users, which is why a prototype including emoji reactions was proposed as an MVP. In this version, the possibility to discuss is linked to an outsourced forum such as Google Meet. For the optimal design, a chat was included inside the application as this was concluded highly desired by users. User Experience User Interface UX UI Design Personas User Research User Testing Iterative Design Contextual Design Prototyping Mobile Application Figma Sketch Protopie Storytel Engineering and Technology Teknik och teknologier
3	Interaktivní webové výukové aplikace z oblasti vektorové grafiky / Interactive apps for education of vector graphics theory Lipa, Matúš January 2019 (has links) This work deals with the creation of several interactive web applets for education of vector graphics. Described is the image signal, his discretization, vector and bitmap types of image record. Further they describe selected vector curves, their properties, algorithms for their construction and usage. The principles of rasterization of basic vector objects are explained. Using the Figma tool, graphical user interfaces for each applet are designed. These applets are implemented using HTML and Javascript. The implemented applets are placed on web pages that are used in computer graphics education.
4	Augmented Reality-Assisted Techniques for Sustainable Lithium-Ion EV Battery Dismantling / Förstärkt Verklighet-Assisterade Teknikers för Hållbar Demontering av Litiumjonbatterier Cristina Culincu, Diana January 2023 (has links) The increasing adoption of electric vehicles (EVs) brings forth the challenge of effectively managing the second-life and end-of-life cycles for lithium-ion batteries. Augmented Reality (AR) offers a promising solution to sustainably and efficiently dismantle these batteries. This thesis explores the development and evaluation of an AR mobile app specifically designed for guiding the dismantling process of a Volkswagen (VW) ID.4 lithium-ion EV battery. Subsequently, a detailed end-to-end development pipeline is presented, spanning from identifying the correct dismantling steps and building complete 3D reconstructions of the ID.4 battery using photogrammetry and CAD or 3D modelling, to creating an AR mobile application in Unity with the help of Vuforia allowing users to visualize the disassembly steps through an interactive guide. Tracking recognition testing results for each model indicates that simpler models exhibit a higher chance of producing false positives, while composite models have a greater minimum recognition distance compared to the faithfulto-real-life one-piece counterparts. User testing is conducted using a hybrid approach, combining a Figma prototype with video recordings to replicate the app’s behavior in a safe environment, without the physical presence of a high voltage battery. Results show positive user feedback, demonstrating the app’s usability and effectiveness in guiding the dismantling process. Furthermore, the thesis evaluates the app’s performance through the System Usability Scale (SUS) and the Technology Acceptance Model. The obtained SUS score of 80 (Grade B - Good) indicates favorable usability, while the Technology Acceptance Model provides insights into potential users’ perceptions. / Den ökande användningen av elektriska fordon (EV) frambringar utmaningen att effektivt hantera andra livscykler och slutlivscykler för litiumjonbatterier. För att hållbart och effektivt demontera dessa batterier erbjuder Augmented Reality (AR) en lovande lösning. Denna uppsats utforskar utvecklingen och utvärderingen av en AR-mobilapplikation som specifikt är utformad för att guida demonteringsprocessen av ett Volkswagen (VW) ID.4 litiumjon EVbatteri. Därefter presenteras en detaljerad genomgående utvecklingsprocess, som sträcker sig från att identifiera korrekta demonteringssteg och skapa kompletta 3D-rekonstruktioner av ID.4-batteriet med hjälp av fotogrammetri och CAD eller 3D-modellering, till att skapa en AR-mobilapplikation i Unity med hjälp av Vuforia, som tillåter användare att visualisera demonteringsstegen genom en interaktiv guide. Resultaten bättre identifieringstester för varje modell indikerar att enklare modeller har större chans att producera falska positiva resultat, medan komplexa modeller har större minsta igenkänningsavstånd jämfört med helhetsmodeller som är trogna verkligheten. Användartester genomförs med hjälp av en hybridmetod som kombinerar en Figma-prototyp med videoinspelningar för att återskapa appens beteende i en säker miljö, utan att behöva ha ett högspänningsbatteri fysiskt närvarande. Resultaten visar positivt användarfeedback och bekräftar appens användarvänlighet och effektivitet vid guidning av demonteringsprocessen. Uppsatsen utvärderar också appens prestanda genom System Usability Scale (SUS) och Technology Acceptance Model. Den erhållna SUS-poängen på 80 (Betyg B - Bra) indikerar en god användbarhet, medan Technology Acceptance Model ger insikter om potentiella användares uppfattningar. Augmented Reality Electric Vehicle Batteries Lithium-Ion Batteries Battery Dismantling Battery Disassembly Battery Recycling Photogrammetry 3D modelling 3D Reconstruction Vuforia Unity Blender Figma Polycam Sustainability Förstärkt verklighet Batterier för elektriska fordon Litiumjonbatterier Batteriavmontering Batteriuppdelning Batteriåtervinning Fotogrammetri 3Dmodellering 3D-rekonstruktion Vuforia Unity Blender Figma Polycam Hållbarhet Computer and Information Sciences Data- och informationsvetenskap
5	Introducing Generative Artificial Intelligence in Tech Organizations : Developing and Evaluating a Proof of Concept for Data Management powered by a Retrieval Augmented Generation Model in a Large Language Model for Small and Medium-sized Enterprises in Tech / Introducering av Generativ Artificiell Intelligens i Tech Organisationer : Utveckling och utvärdering av ett Proof of Concept för datahantering förstärkt av en Retrieval Augmented Generation Model tillsammans med en Large Language Model för små och medelstora företag inom Tech Lithman, Harald, Nilsson, Anders January 2024 (has links) In recent years, generative AI has made significant strides, likely leaving an irreversible mark on contemporary society. The launch of OpenAI's ChatGPT 3.5 in 2022 manifested the greatness of the innovative technology, highlighting its performance and accessibility. This has led to a demand for implementation solutions across various industries and companies eager to leverage these new opportunities generative AI brings. This thesis explores the common operational challenges faced by a small-scale Tech Enterprise and, with these challenges identified, examines the opportunities that contemporary generative AI solutions may offer. Furthermore, the thesis investigates what type of generative technology is suitable for adoption and how it can be implemented responsibly and sustainably. The authors approach this topic through 14 interviews involving several AI researchers and the employees and executives of a small-scale Tech Enterprise, which served as a case company, combined with a literature review. The information was processed using multiple inductive thematic analyses to establish a solid foundation for the investigation, which led to the development of a Proof of Concept. The findings and conclusions of the authors emphasize the high relevance of having a clear purpose for the implementation of generative technology. Moreover, the authors predict that a sustainable and responsible implementation can create the conditions necessary for the specified small-scale company to grow. When the authors investigated potential operational challenges at the case company it was made clear that the most significant issue arose from unstructured and partially absent documentation. The conclusion reached by the authors is that a data management system powered by a Retrieval model in a LLM presents a potential path forward for significant value creation, as this solution enables data retrieval functionality from unstructured project data and also mitigates a major inherent issue with the technology, namely, hallucinations. Furthermore, in terms of implementation circumstances, both empirical and theoretical findings suggest that responsible use of generative technology requires training; hence, the authors have developed an educational framework named "KLART". Moving forward, the authors describe that sustainable implementation necessitates transparent systems, as this increases understanding, which in turn affects trust and secure use. The findings also indicate that sustainability is strongly linked to the user-friendliness of the AI service, leading the authors to emphasize the importance of HCD while developing and maintaining AI services. Finally, the authors argue for the value of automation, as it allows for continuous data and system updates that potentially can reduce maintenance. In summary, this thesis aims to contribute to an understanding of how small-scale Tech Enterprises can implement generative AI technology sustainably to enhance their competitive edge through innovation and data-driven decision-making. UX HCD HCI AI Artificial Intelligence Generative AI Implementing AI LLM GPT RAG Chatbot Prompt engineering Prompting framework Hallucinations Transparency Interaction Technologies Usability Linguistics Innovation SME Tech Enterprise Qte Growth factors Documentation Communication Knowledge retention Competence development Education Training Retrieval Model Data Data Management Database Knowledge base Maintenance Data security Data driven decision making Data analytics Social sustainability Economical sustainability Figma Trello Github OpenAI GTPs VsCode Azure CoPilot Google Bard Zapier GCS API Pipeline Parsing data Sorting data Storing data Human Computer Interaction Interaction Technologies Interaktionsteknik

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