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The construction equipment one of the least digitized sectors, and the problems have only been amplified by the recent COVID-19 pandemic. Many construction equipment OEMs are turning towards the aftermarket by offering services and products to extend value of the machine. To provide more user satisfaction, and capture a larger share of the aftermarket, they are implementing Agile. However, transitioning from plan-based methods to Agile in an incumbent carry along specific challenges connected to the user experience (UX) designers working on such projects. Through an exploratory approach this study aims to identify challenges encountered by UX designers when integrating Agile and UX. The method entails two rounds of interviews with five stakeholders. First round being structured, and the second round semi-structured. Using thematic analysis, I identify three main challenge areas: designers’ uncertainty with Agile, industry-specific challenges, and misunderstanding of UX among other stakeholders. Finally, I present the ethical considerations, discuss limitations, and further research possibilities.

This thesis explores the intersection of Artificial Intelligence (AI) and User Experience (UX)design, aiming to leverage AI capabilities to enhance the overall user experience designprocess. The research included user interviews, data collection, and the usage of AI toolsto enhance efficiency. The collaboration with a company provided insightful informationand directed the research toward investigating AI capabilities in UX design. The studyclarifies the advantages of AI design tools, their impact on the UX design procedure, and thepossibility of further developments. It ends by introducing the AIUX app concept, whichprovides a streamlined and collaborative approach to UX design. The results highlightthe significance of a balanced approach, where AI enhances rather than replaces humancreativity and invention. As AI technology develops quickly and is increasingly included indesign tools, this thesis offers a starting point for further study.

In this study the subject of ethics is examined, more specifically how ethical consideration might change for UX-designers when working on artificial intelligence. With the introduction of new, powerful AI tools such as chatGPT and Midjourney, these tools are finding their way into the hands of users all around the world. This being the case, ethical consideration in UXdesign is of great importance, as it is this discipline which shapes products for the needs of the consumer. The aim of this study is to examine how ethical considerations in UX-design for artificial intelligence tools might differ from traditional UX-practise. It is an important field to examine, as little to no prior research has been conducted on the intersection of ethics, user experience design, and artificial intelligence. Initially, a literature review was conducted in order to situate this study in the current field of similar research. Thereafter theories on ethics are presented to facilitate the coming discussion. A qualitative methodological approach was chosen as suitable for the study. By conducting a small-N-study and semi-structured interviews with design practitioners, as well as an AI expert, data was gathered on ethics, UXdesign, and artificial intelligence. This data was then analysed through text analysis and the interpretative research paradigm in order to identify patterns and themes. Four main themes are identified and presented, as well as discussed. The findings of the study show how aspects that have traditionally been connected to the technical development of artificial intelligence are of great relevance to the discipline of UX-design as well. These aspects; responsibility, explainability, and transparency, must be taken into account by design practitioners in design work for artificial intelligence in order to transfer knowledge of the tool onto the user. The findings of this study contribute to the intersection of knowledge of ethics, user experience design, and artificial intelligence by showing how the concept of responsibility in artificial intelligence is of equal importance to design practitioners. Furthermore, it also show that the concepts of explainability and transparency, which have hitherto been exclusive to the realm of AI-development, are applicable in design work. Additionally, based on these findings a prototype framework for the development of ethical guidelines for design practitioners in artificial intelligence is proposed. As for future work in the field, it would be of value if future studies would interview design practitioners with more professional experience of design in artificial intelligence, as well as confirm the findings of this study through the use of other methodologies through method triangulation.

The motivation of this work focused on inspiring the understanding of emotions and the ability to name them precisely to improve self-awareness and well-being. Through an online survey, competitor analysis, customer journey map, and interviews it was clear that the chosen target group of young people do not feel fully confident in understanding their emotions and lacked emotional vocabulary. With these results in mind, several concepts were developed. Due to users’ needs the mobile application was chosen as a platform to create an experience to learn emotional vocabulary. As a result, the interactive prototype was created to transform the learning experience into an engaging application to learn emotions definitions, connections, and their application to everyday life. The interactive prototype was tested on potential users and the results were positive. This in turn might be a first step in forming strategies to improve understanding of emotional vocabulary. / <p>Examensarbetet är utfört vid Institutionen för teknik och naturvetenskap (ITN) vid Tekniska fakulteten, Linköpings universitet</p>

Sedan 2012 har frivilliga sammhällsmedborgare fått utbildning via sin lokala räddningstjänst för att kunna åka på räddningsinsatser som en första insats innan räddningstjänsten hinner fram till platsen. Dessa frivilliga personer benämns som civila insatspersoner (CIP) och finns på ett 20-tal räddningstjänster runt om i Sverige, främst på landsbygden. CIP kan idag få larm om uppdrag genom tre olika system, SMS-listor, SOS.larm-appen och Safeland-appen. Den här studien har undersökt de olika systemen utifrån ett användarcentrerat perspektiv, vilket har gjorts genom en förebildsanalys och användarintervjuer som evaluerats med en tematisk analys. Genom en UX-designprocess förankrad i research through design (RtD) har en prototyp innehållandes nya designförslag tagits fram med ett fokus på användarnas behov. Utöver prototypen har fyra designinsikter om applikationer designade för CIP sammanställts: effektivitet, gemenskap, säkerhet och individualisering. Resultatet visar på att designförslagen och insikterna kan bidra till forskningsområdet och den fortsatta utvecklingen av appar för CIPar, dock är de i behov av ytterligare utvärdering innan deras tillämpbarhet kan säkerställas.

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Speech recognition has existed for a long time in various shapes, often used for recognizing commands, performing text-to-speech transcription or a mix of the two. This thesis investigates how the input affordances for such speech based interactions should be designed to enable intuitive engagement in a multimodal user interface. At the time of writing, current efforts in user interface design typically revolves around the established desktop metaphor where vision is the primary sense. Since speech recognition is based on the sense of hearing, previous work related to GUI design cannot be applied directly to a speech interface. Similar to how traditional GUI’s have evolved to embrace the desktop metaphor and matured into supporting modern touch based experiences, speech interaction needs to undergo a similar evolutionary process before designers can begin to understand its inherent characteristics and make informed assumptions about appropriate interaction mechanics. In order to investigate interface addressability and affordance accessibility, a prototype speech interface for a Windows 8 tablet PC was created. The prototype extended Windows 8’s modern touch optimized interface with speech interaction. The thesis’ outcome is based on a user centered evaluation of the aforementioned prototype. The outcome consists of additional knowledge surrounding foundational interaction mechanics regarding the matter of addressing and engaging a speech interface. These mechanics are important key aspects to consider when developing full featured speech recognition interfaces. This thesis aims to provide a first stepping stone towards understanding how speech interfaces should be designed. Additionally, the thesis’ has also investigated related interaction aspects such as required feedback and considerations when designing a multimodal user interface that includes touch and speech input methods. It has also been identified that a speech transcription or dictating interface needs more interaction mechanics than its inherent start and stop to become usable and useful.

Yes / Galaxy (https://galaxyproject.org) is deployed globally, predominantly through free-to-use services, supporting user-driven research that broadens in scope each year. Users are attracted to public Galaxy services by platform stability, tool and reference dataset diversity, training, support and integration, which enables complex, reproducible, shareable data analysis. Applying the principles of user experience design (UXD), has driven improvements in accessibility, tool discoverability through Galaxy Labs/subdomains, and a redesigned Galaxy ToolShed. Galaxy tool capabilities are progressing in two strategic directions: integrating general purpose graphical processing units (GPGPU) access for cutting-edge methods, and licensed tool support. Engagement with global research consortia is being increased by developing more workflows in Galaxy and by resourcing the public Galaxy services to run them. The Galaxy Training Network (GTN) portfolio has grown in both size, and accessibility, through learning paths and direct integration with Galaxy tools that feature in training courses. Code development continues in line with the Galaxy Project roadmap, with improvements to job scheduling and the user interface. Environmental impact assessment is also helping engage users and developers, reminding them of their role in sustainability, by displaying estimated CO2 emissions generated by each Galaxy job. / NIH [U41 HG006620, U24 HG010263, U24 CA231877, U01 CA253481]; US National Science Foundation [1661497, 1758800, 2216612]; computational resources are provided by the Advanced Cyberinfrastructure Coordination Ecosystem (ACCESS-CI), Texas Advanced Computing Center, and the JetStream2 scientific cloud. Funding for open access charge: NIH. ELIXIR IS and Travel grants; EU Horizon Europe [HORIZON-INFRA-2021-EOSC-01-04, 101057388]; EU Horizon Europe under the Biodiversity, Circular Economy and Environment program (REA.B.3, BGE 101059492); German Federal Ministry of Education and Research, BMBF [031 A538A de.NBI-RBC]; Ministry of Science, Research and the Arts Baden-Württemberg (MWK) within the framework of LIBIS/de.NBI Freiburg. Galaxy Australia is supported by the Australian BioCommons which is funded through Australian Government NCRIS investments from Bioplatforms Australia and the Australian Research Data Commons, as well as investment from the Queensland Government RICF program.