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This pilot study investigates how personalized content can be used in banking applications to encourage shaping good saving habits and increase overall financial literacy among young people. The preliminary result are recommendations including providing clear and personalized saving goals, incorporating educational content on investing and financial planning, and implementing features for tracking and categorizing expenses. Some trade-offs in usage that are presented are to minimize the use of personal data to what is necessary for personalization purposes, treat the data on a group level or increase transparency of data usage. The pilot study concludes that personalization is likely to be beneficial for both banks and their customers, given personal data is handled carefully and used in a sound financial consumer protection framework. 

Today the video game market is ever growing and expanding. As such player retention and engagement have emerged as pivotal challenges for game developers and stakeholders. The booming gaming industry constantly seeks innovative ways to captivate players and sustain their interest over time. However, this pursuit often led to the proliferation of predatory practices, exploiting players' psychology and financial vulnerabilities. This paper explores ethical player retention strategies in the gaming industry, addressing the pervasive issue of predatory practices regarding monetization. The results emphasizes the importance of holistic approaches — prioritizing autonomy, achievement, social connections, and fair monetization practices to foster an enduring player commitment.

Since its launch just over two years ago, the conversational chatbot ChatGPT developed by OpenAI has become integrated into the studies of students within the Swedish educational system. This paper investigates both teachers' perspectives and attitudes toward students using ChatGPT and the students' view of their perceived learning. Insights were gathered through questionnaires (for both students and teachers) and a learning session for students, revealing concerns and enthusiasm regarding ChatGPT's integration. Teachers express a lack of understanding on incorporating ChatGPT into education and perceive a lack of support from school leadership and the Swedish National Agency for Education. Identified scenarios suggest ChatGPT's potential for understanding concepts, but resistance toward its use in examinations. The students have a statistically significant enhancement in confidence and understanding of magnetism concepts after engaging with ChatGPT. This research contributes to ongoing discussions about integrating AI tools in education, emphasizing benefits and addressing ethical concerns and learning outcomes.

The General Data Protection Regulation (GDPR) was passed in 2016 to regulate companies’ use and storage of personal data, such as cookies, which are a common feature of the modern internet used to track user’s activity and preferences. This paper aims to examine people’s perspectives on cookie consent prompts and the effects of using deceptive design in cookie consent prompts.

The results suggest that the design, rather than trust in the website’s organization, is crucial for users’ decisions to accept, decline, or manage cookies. Honest design is emphasized, and the dangers of deceptive design in cookie consent prompts are highlighted. Prompts that require full attention from the user and cover the content of the page are more likely to result in reflective and active decisions, but design friction that forces users to make a reflective choice causes irritation. The study also reveals a discrepancy between self-reported and observed behavior regarding cookie acceptance, as users tend to accept more cookies than they say they do.

People make a vast number of decisions every day and these decisions invoke either a reflective or automatic behavior. Using e.g., nudging to influence a person’s behavior in a positive direction can have beneficial sustainable effects. This study aims to illustrate how digital nudging and design friction can be used to induce a reflective behavior in users of digital services during their decision-making. The field of study is the user’s reflection regarding sustainable choices when ordering meals online. The results provided from this initial case study showed that the participants preferred prototypes with implemented design approaches of digital nudging and design friction over a neutral prototype. Nudging had great impact on the decision-making process and provided feelings such as guilt if the participants did not select the option with the lowest carbon footprint. The design approach also induced a reflective behavior among the participants. Introducing so-called design friction provided a reflective behavior but had no impact on the participants decisions. Results also showed that even detailed information in the neutral prototype provided an informative and reflective behavior, which in some of the cases had an impact on the participants’ decisions.

The recent global pandemic has had great impact on our society, were restricted physical social interaction created changes that will have long-lasting effects on how certain activities are performed. One example is how the restrictive use of training facilities has impacted people's motivation of working out. Training online, through e.g., social media, increased during this time and many new apps for this purpose were launched. One way of differentiating in this landscape is the use of augmented reality. This paper investigates how augmented reality can be used in mobile fitness apps to improve the digital social interaction when working out. The study is based on prototyping and testing of a conceptual app and the results show the potential of augmented reality to improve social interaction in this context.

This paper examines Slack's effects on perceived stress levels among employees compared with classical work communication such as email. The study also investigates whether or not modern work platforms such as Slack affects the way people view and separate work and leisure time. As work from home increased drastically with the spread of Covid-19, simple and fast communication at work became more important than ever. Employees did not have the same possibility to meet daily at the office which created new demands on text-based communication platforms used for work purposes. The study was performed through a survey with 113 contributing respondents as well as three follow-up interviews. The study shows a difference in the respondents' approach toward Slack compared to email. Close to 11% stated that they read emails after work hours whereas 24% stated that they read Slack messages after work. Even though a slight difference can be seen between the two ways of communication, it becomes clear that it is more likely the ease-of-use and simple accessibility of modern work communication can cause stress than Slack itself. The results show that platforms such as Slack make it easier to interact with colleagues even after work hours. These results illustrate the issue of living in a time where the office is equally as remote as fixed.

Scrollytelling is the most common form of long-form journalism and has become a popular communication device because of its ability to capture an audience’s attention. This could make scrollytelling a suitable format for younger audiences, whose attitudes towards news differ from older generations; it is more individualistic and is driven by progress and entertainment. This paper investigates the effect scrollytelling has on journalistic content according to a younger audience. This was done by letting participants consume an article in both a normal static format, i.e., non-scrollytelling, and a scrollytelling format, and then provide insights through a questionnaire and interview. The results showed a significant difference in perceived engagement favoring the scrollytelling format and clear indications of which features scrollytelling can produce and how desirable these are. It also showed the strength of scrollytelling in its ability to invoke an emotional response.

There are numerous online payment methods when shopping online. This paper presents the evolution of payment methods through the years and investigates which payment methods young adults prefer and investigates if and how modern payment methods affect financial responsibility among young adults. The study was conducted through a survey and follow-up interviews with Swedish young adults. 75% claimed they make online purchases 1-3 times a week or more, of which 35% always check their bank account before paying. The study suggests that direct payment using their smart device (Swish) is the most preferred payment method. The research suggests that it is the combination of the different payment methods available that is impacting financial responsibility among young adults rather than the payment method itself.

Point cloud data is a way of implementing and recreating the surrounding with the help of 3D imaging and rendering. These point clouds can be further converted into mesh and then 3d models that can be used for localisation and mapping. LIDAR (Light Detection and Ranging) is a common device that is used when we want to reconstruct a space(room or building) in a software 3D Mesh however LIDAR based systems are expensive and can be tricky to stitch and reconstruct, the proposed system uses a single camera, this single camera is going to capture the frame in a continuous manner. This frame capturing will be followed by feature extraction which is essentially going to help in comparing the motion of the camera by comparing the transformation of the frames relative to the previous frame. This process when implemented over a continuous frame path is going to help us build a 3D Space with the help of a process called photogrammetry. This can then be used in spatial planning or areas where the possibility of using lidar is not possible or the cost is too high for implementation. The estimated size from the sensor usually only differs a few centimeters from manually measured sizes. From 24 images the drone can generate more than 12000 feature points for photogrammetry and a point cloud with almost 10000 points for a room with a lot of features.