Persuasive Technology(PT) was pioneered by BJ Fogg. The theory has been developed in several aspects and applied in education, health, entertainment, and online shopping. Short-form video application TikTok first launched in the media market in 2016. During the global COVID-19 pandemic period, the growing popularity of TikTok helped it reach over 800 million users. As the new form of social media, it is persuasively shaping people’s life. The paper aims to investigate the relationship between behavior change and TikTok usage. Quantitative and qualitative research methods were used to investigate 178 participants. The research mainly focused on Chinese university students whose ages are around 18 to 25 as the target group. The result shows that 57.3% of participants feel the behavior change and 15.7% of them are not sure about that. In the qualitative research, from the in-depth interview, participants who are not sure about the effect also make using TikTok a habit without perception. The findings of this paper provide evidence that TikTok as a persuasive system has effects on users’ behavior and even changed their attitudes. The ethical concerns and sustainability are also discussed in the following parts. / Persuasive Technology(PT) var banbrytande av BJ Fogg. Teorin har utvecklats i flera aspekter och tillämpats inom utbildning, hälsa, underhållning och online shopping. Kortformad videoapplikation TikTok lanserades först på mediemarknaden 2016. Under den globala covid-19-pandemiperioden hjälpte TikToks växande popularitet det att nå över 800 miljoner användare. Som den nya formen av sociala medier formar det på ett övertygande sätt människors liv. Uppsatsen syftar till att undersöka sambandet mellan beteendeförändring och TikTok-användning. Kvantitativa och kvalitativa forskningsmetoder användes för att undersöka 178 deltagare. Forskningen fokuserade främst på kinesiska universitetsstudenter vars ålder är runt 18 till 25 som målgrupp. Resultatet visar att 57,3 % av deltagarna känner att beteendet förändras och 15,7 % av dem är inte säkra på det. I den kvalitativa forskningen, från djupintervjun, gör deltagare som inte är säkra på effekten också att använda TikTok till en vana utan uppfattning. Resultaten av detta dokument ger bevis på att TikTok som ett övertygande system har effekter på användarnas beteende och till och med förändrat deras attityder. De etiska aspekterna och hållbarhet diskuteras också i följande delar.

Effective password management is crucial for safeguarding online accounts and sensitive information. This research examines the current challenges and provides alternative solutions for better password management. This study encompasses a comprehensive survey and interviews conducted with individuals across various professional backgrounds. A total of 137 online users participated in the survey, which spanned over a duration of 15 days. Additionally, four individuals were interviewed to gather more indepth data. The study aimed to understand password selection behaviors and the factors influencing them. The goal is to develop practical strategies to enhance password security and mitigate unauthorized access to sensitive information. The purpose of the study is to provide valuable insights into the complexities of password management and contribute to the development of informed approaches for stronger password security. The study emphasizes the significance of password management and highlights the importance of educating users about the risks associated with weak passwords. The findings have implications not only for the research community but also for individuals and organizations seeking to understand user behavior and attitudes towards password systems. By gaining a deeper understanding of these aspects, it becomes possible to design more effective strategies to protect online accounts and sensitive data.

No description available.

As the workplace becomes increasingly digital, tasks have shifted from being physically demanding to instead digitally processing knowledge and information. Employees are therefore regarded as knowledge workers and for them to succeed in the digital workplace, they place high demands on IT systems that encourage communication, collaboration and document management. To meet the knowledge workers needs, it has become increasingly common to implement collaboration platforms. However, organizations often implement collaboration platforms without further thought about how they should be used. At the same time, there is no knowledge of previous research that shows what factors make employees use collaboration platforms. The purpose of the thesis is therefore to investigate which factors lead to IT accustomed knowledge workers in the IT consulting industry using the collaboration platform in the digital workplace. By examining knowledge workers' perceptions of their use, we hope to be able to find answers to the factors that contribute to the use of collaboration platforms. The thesis applies a qualitative approach through semi-structured interviews on ten IT accustomed knowledge workers divided into two organizations in the IT consulting industry. To consider socio-technical aspects of use, empiricism has been analyzed with a conceptual model that integrates Theory of planned behavior and Technology acceptance model. Our results show that attitude, subjective norm, perceived behavioral control, perceived usefulness and perceived ease-of-use play an influential role in the use of collaboration platforms. At the same time, subjective norms and perceived usefulness are proposed to be the factors that have the strongest impact on use. / I takt med digitaliseringen av arbetsplatsen har arbetsuppgifter övergått till att istället digitalt bearbeta kunskap och information. Anställda betraktas därför som kunskapsarbetare och för att de ska lyckas i sitt arbete ställer de höga krav på IT-system som uppmuntrar kommunikation, samarbete och dokumenthantering. För att tillgodose detta behov har det blivit allt vanligare att implementera samarbetsplattformar. Organisationer implementerar ofta samarbetsplattformar utan vidare eftertanke kring hur de ska användas. Samtidigt finns det ingen kännedom om tidigare forskning som visar vilka faktorer som får anställda att använda samarbetsplattformar. Syftet med uppsatsen är därför att undersöka vilka faktorer som leder till att IT-vana kunskapsarbetare inom IT-konsultbranschen använder samarbetsplattformen inom den digitala arbetsplatsen. Genom att undersöka kunskapsarbetares uppfattning om deras användande hoppas vi kunna finna svar på vilka faktorer som bidrar till användande av samarbetsplattformar. Uppsatsen tillämpar kvalitativa semistrukturerade intervjuer på tio IT-vana kunskapsarbetare uppdelat på två organisationer inom IT-konsultbranschen. För att ta hänsyn till socio-tekniska aspekter vid användande har empirin analyserats med en konceptuell modell som integrerat Theory of planned behavior och Technology acceptance model. Våra resultat visar att attityd, subjektiva normen, upplevd beteendekontroll, upplevd användbarhet och upplevd användarvänlighet har en påverkande roll för användandet av samarbetsplattformar. Samtidigt föreslås subjektiva normer och upplevd användbarhet vara de faktorer som har starkast påverkan på användande.

The aim of this study is to investigate which effects the introduction of the new legislation for bicyclestreets has on road users. The focus has been on studying road users' compliance, accessibility andexperience of bicycle streets. Since the legislation came into force in December 2020, vehicles entering abicycle street have a duty to give way to road users on the bicycle street and drivers of motor vehicleshave to adapt their speed to the bicycle traffic. There is also a general speed limit of 30 km/h and parkingis only allowed in designated areas.The report consists of three main sections, the first of which reviews the history and dialogue behind thecurrent legislation and addresses some of the main points of criticisms leveled at it. This was exploredthrough a detailed review of the available documents and studies dealing with bicycle streets. Thesecond part aims to review the conditions for cycle streets in Sweden and to provide an overview of theopportunities and challenges that exist. This part includes, among other things, thorough examinationsof previous studies of bicycle streets, existing bicycle streets in Sweden, similar legislation and aninternational outlook where bicycle streets in other countries in Northern Europe are studied. The lastpart is a case study of one of Sweden's first bicycle streets in Varberg where, among other things,speeds, movement patterns and yielding behavior of road users are studied. This was investigatedthrough radar measurements, video analysis and visual observations on site. Furthermore, two differentsurveys were carried out, one of which aimed to find out the opinions and experiences of road users onthe bicycle street in Varberg. The second survey was of a more general nature and aimed to collect roadusers' opinions on issues related to bicycle streets.The results indicate that there is a general consensus among experts, planners and road users thatbicycle streets have the potential to improve cyclists' accessibility and road safety and, in the long term,to encourage more people to cycle. However, several shortcomings are found in the existing legislationthat many believe prevent the bicycle street from achieving its purpose. For example, there are currentlyno official guidelines on how a bicycle street should be designed and there is also older legislation thatprevents cyclists from being able to use the whole roadway and cycle side by side. The case study revealsseveral interesting findings that confirm several points of criticism of bicycle streets and its legislation.Among other things, the majority of the observed cyclists chose to take up space in the roadway and alsoride side by side. The survey results also indicate that a change in traffic regulations to allow this onbicycle streets is something that is desired by a majority. Based on the results of the study, severalsuggestions are made for regulation changes that would make the bicycle street better serve its purpose.For example, it is suggested that cyclists should always be allowed to use the whole roadway and rideside by side on bicycle streets. It is also recommended that the responsible authorities develop nationalrecommendations for the physical design of cycle lanes as soon as possible. As for other common viewson regulatory changes, such as whether or not overtaking of cyclists should be allowed and what speedlimit should apply on bicycle streets, further studies need to be carried out before any conclusions canbe drawn.

This study intended to validate if clustering could be used to simplify models generated with process mining. The intention was also to see if these clusters could suggest anything about user efficiency. To that end a new metric where devised, average mean duration deviation. This metric aimed to show if a trace was more or less efficient than a comparative trace. Since the intent was to find traces with similar characteristics the clustering was done with characteristic features instead of time efficiency features. The aim was to find a correlation between efficiency after the fact. A correlation with efficiency could not be found.

Under de senaste åren har användningen av mobilapplikationer i smartphones ökat och kommer förmodligen fortsätta att göra det. Smartphoneanvändare ställer ofta höga krav och vill nästan alltid ha bättre prestanda i smartphones vilket driver utvecklingen framåt. Dock har många smartphoneanvändare klagat på att batteriet inte räcker till för deras användning. Enligt olika forskare är inte batteriet dåligt utan det är mobilapplikationer som förbrukar för mycket energi. De flesta studier som handlar om energiförbrukningen i mobilapplikationer fokuserar mycket på de tekniska aspekterna och det finns relativt lite kunskap om vad användare tycker om energiförbrukningen. Detta har skapat ett behov av att forska mer om användningen av mobilapplikationer utifrån användarens perspektiv. Syftet med denna studie är att ta reda på om mobilapplikationers energiförbrukning påverkar hur smartphoneanvändare använder mobilapplikationer. För att samla in kunskap om detta har sammanlagt åtta smartphoneanvändare intervjuats med hjälp av semistrukturerade intervjuer. Studiens resultat visar bland annat att användningen påverkas på olika sätt och det har även visat sig att vissa applikationer påverkar användningen mer än andra. Studien presenterar också vilka inställningar som användare brukar ändra på för att minska energiförbrukningen i mobilapplikationer.

Attitudes of users towards new Information Technology products have been the matters of consumer research studies. Factors that affect user behavior in terms of IT acceptance have been modeled by different researchers with an attempt to predict the actual usage. This study aims to analyze these factors and their significance in military context. One of the robust models, namely Unified Theory of Acceptance and Use of Technology (UTAUT) is used as the study model with required modifications in order to augment its compatibility. Therefore an exploratory survey study is conducted within the target user group of two rugged mobile computers with the participation of 37 Turkish sergeants. The study used both qualitative and quantitative instruments. The results showed that, for military products, users acceptance criteria mainly concentrate on the performance of the new product and its relative ease of use.

Many employment services base their online job recommendations to users based solely on explicit data in their profiles. The implicit data of what users for example click on, save and mark as irrelevant goes unused. Instead of making recommendations based on user behavior they make a direct comparison between user preferences and job ad attributes. A reason for this is the concern that the inclusion of implicit data can give odd recommendations resulting in a loss of credibility for the service. However, as research has shown this to be of great advantage to recommender systems. In this paper I implement a job recommender and test it both with user data including interaction history with job ads as well as with only explicit data. The results of the recommender with implicit data got better overall performance, but negligible gain in the ratio between true and false positives, or in other words the ratio between correct and incorrect recommendations.

The aim of this work is to create an application that allows modeling of user behavior and subsequent search for anomalies in this behavior. An application entry is a list of actions the user has executed on his workstation. From this information and from information about the events that occurred on this device the behavioral model for a specific time is created. Subsequently, this model is compared to models in different time periods or with other users' models. From this comparison, we can get additional information about user behavior and also detect anomalous behavior. The information about the anomalies is useful to build security software that prevents valuable data from being stolen (from the corporate enviroment).