This study is connected to the project Sonification of Goods in Stores, which aims to prevent retail theft. The goal was to investigate whether or not test subjects timed their computer mouse clicks in relation to background music. It builds upon other experiments on adaptation to external rhythms. The study was performed by recording click-times when test participants were doing an online quiz while listening to background music. Two types of clicks were of interest. The main focus was clicks on question boxes, which triggered an interaction sound and a popup with a question when clicked. Clicks on the answer buttons, of which there were 4 for each question, each containing a prewritten alternative, was of secondary interest. The click-times were analyzed using a Chi2-test, comparing the number of clicks within different sections of the music. The results fail to support the idea that clicks on question boxes are correlated to the background music, but suggest some correlation for clicks on answer buttons. However, the deviation from an even distribution was small while the individual differences were big, hence it is reasonable to for practical applications act as if there was no correlation. / Denna studie är kopplad till projektet Sonification of Goods in Stores, som ämnar att förebygga butiksstölder. Målet var att undersöka huruvida försökspersoner anpassade sina datormusklick efter bakgrundsmusik. Den bygger på andra experiment på anpassning till externa rytmer. Studien utfördes genom att registrera klicktider medan försökspersoner deltog i digital frågesport. Två typer av klick var av intresse. Huvudfokus var klick på frågerutor, som orsakade ett interaktionsljud och en popup med en fråga när de klickades på. Klick på svarsalternativ, av vilka det fanns 4 per fråga, vardera med ett förifyllt svar, var av sekundärt intresse. Klicktiderna analyserades med Chi2-test, som jämförde antalet klick inom olika delar av musiken. Resultaten tyder inte på att klick på frågerutor skulle vara korrelerade till bakgrundsmusiken, men antydde visst samband för klick på svarsalternativ. Avvikelsen från jämn fördelning var dock liten medan de individuella skillnaderna var stora, därför är det rimligt att för praktiska applikationer agera som om sambandet inte existerade.

<p>Examensarbetet är utfört vid Institutionen för teknik och naturvetenskap (ITN) vid Tekniska fakulteten, Linköpings universitet</p>

<p>Examensarbetet är utfört vid Institutionen för teknik och naturvetenskap (ITN) vid Tekniska fakulteten, Linköpings universitet</p>

No description available.

No description available.

No description available.

<p>Examensarbetet är utfört vid Institutionen för teknik och naturvetenskap (ITN) vid Tekniska fakulteten, Linköpings universitet</p>

E-learning and online courses are widely used today, with different platforms being available for the user. When implementing and evaluating such a platform relevant research is required, therefore a pre-study was conducted. The pre-study showed that the platforms used at Linköpings University have a variety of available platform of which the teachers can use, however, some of there lack the features and it is therefore common for teachers to use more than one platform for a course. The goal of the thesis has been to answer the research question and to do so a platform was implemented, with focus on the gamification elements. The thesis answered the research question through the implementation of the platform and the user test. The user test was held on the target audience. The participants of the user test were faced with a short course on the developed platform. The test results show that the combination of gamification elements used motivated the participants towards the presented course and the assignments within it. During the user test a questionnaire, based on Intrinsic Motivation Inventory, was used. The result from this showed that the platform and its gamification elements increased the enjoyment, interest, perceived competence and effort towards the course.

In today’s JAS 39 Gripen E there is a central system that collects all failures that occur in the aircraft. Complex failures often generate multiple simultaneous alerts. This makes it difficult for the pilot to get an overview of the active alerts. Each alert has a number of actions that the pilot must handle. The purpose of this thesis is to investigate and evaluate if it is possible to dynamically determine what actions must be handled by the pilot, regardless of the alert situation. In addition, flight safety must not be impaired, which requires that the system must have high reliability. High reliability means that the system must perform deterministic calculations for both simple and more complex problems. An iterative design process was used to develop a dynamic synthesis. Prototypes were developed based on feedback and 3 different machine learning algorithms were tested for the data classification. After the final prototype was considered complete an evaluation study was made on 6 different test persons. The result of the evaluation was that it is good to use color to amplify important information. The test persons also mentioned that the concept of a dynamic synthesis could decrease the workload for the pilots. To decrease the workload, the action texts need to be prioritized and displayed in the correct order. This includes rewriting the action text. For the merged list to be understandable, each action text must be self-explanatory. / <p>Examensarbetet är utfört vid Institutionen för teknik och naturvetenskap (ITN) vid Tekniska fakulteten, Linköpings universitet</p>

During recent years, the covid-19 pandemic has shed light on the working conditions for many healthcare workers. These essential people have many aspects in their work life that could be improved, one of which being fair working hours that fit their personal life. By having a schedule that is fit for each employee’s needs and preferences, work-life balance could be improved, and employee turnover reduced. Plain Complex is a Finnish startup company that has developed an AI-based solution for scheduling healthcare personnel in an efficient and fair manner. Their solution takes into account some of the personal preferences of employees, however, it could be improved by taking into account more of the implicit and complex preferences of employees. The aim of this thesis work is to investigate how this could be done using an artificial neural network model (ANN). A feasibility study was conducted, and several ANN models were implemented and tested to find a possible solution. The results showed that it is possible to some extent to find a method for modelling the personal preferences of a person in regard to their schedule. However, the impact that the implemented solution might have on the model created by Plain Complex is limited in its current state. The results showed that the model is able to predict a person’s preferences of a roster to a certain degree, especially if those preferences are similar to what is generally considered to be a good or bad roster. / <p>Examensarbetet är utfört vid Institutionen för teknik och naturvetenskap (ITN) vid Tekniska fakulteten, Linköpings universitet</p>