Ishockey är en av Sveriges populäraste sporter och engagerar många, både i och utanför rinken. Hockeyligan.se är Elitseriens officiella webbplats och erbjuder besökarna möjligheten att följa matcherna direkt från en dator via ett text flöde. I liveflödet förekommer många förkortningar som är svåra att förstå. Målet med denna studie är att hitta en lösning på hur man ska förklara dem utan att påverka läsbarheten negativt.  Fokus ligger på den textuella biten och inte den grafiska och hur informationen presenteras. Genom att göra textanalyser och en omvärldsanalys hoppas jag få tillräckligt med kunskap för att tillsist kunna göra en gestaltning som uppnår mitt mål med arbetet. Det vill säga inkludera alla besökare.  Förstudien bestod av en läsbarhetsanalys och en textanalys. Textanalysen visade att informationen som idag ges är relevant men att förkortningarna borde förklaras för att öka möjligheten att förstå innehållet, vilken min enkätundersökning bekräftar. Där svarade nämligen 77 procent att de ansåg att det finns ett allmänt behov av förklaringar av termerna.  Resultatet blev en gestaltning där användaren använder sin datamus för att få fram förklaringarna av förkortningarna. Genom att dra musen över ordet så dyker förklaringen upp i en ruta, en så kallad tooltip, vilket ger läsaren möjligheten att själv välja om han/hon vill ta del av informationen eller inte. På så sätt har läsbarheten inte påverkats. När det gäller det textuella har studien givit mig följande resultat när det gäller hur man skriver förklarande texter för en tooltip på webben:  Var kortfattad.  Skriv det som krävs. Tänk på målgruppen. / Hockey is one of Sweden's most popular sports and involving many pepole, both on and off the rink. Hockeyligan.se is Elitseriens Official site and offers visitors the opportunity to follow the games directly from a computer via a text flow. In the live stream, there are many abbreviations that are difficult to understand. The objective of this study is to find a solution to how explain them without affecting the readability negatively. The focus is on the textual piece and not the graphics and how information is presented. By doing textual analysis and an environmental scanning I hope to get enough knowledge to finally be able to make a design that achieves my goal of the study. That is to include all visitors. The pilot study consisted of a readability analysis and a text analysis. The text analysis showed that the information currently provided is relevant but that the abbreviations should be explained in order to increase the ability to understand the content. Which my survey also confirms. They flew namely 77 percent said they felt that there is a general need for explanations of the terms. The result was a design where the user uses his computer mouse to get the explanations of the abbreviations. By dragging the mouse over the word to bring up the explanation into a box called a tooltip, which does not affect readability. Briefly, we can say that the results of the study gives the reader the opportunity to decide if he / she wants to share the information or not. In this way, a box called a tooltip, it will not affect the readability As for the textual study has given me the following results in terms of how to write explanatory texts for a tooltip on the Web: Be brief. Write it as required.  Think of your audience.

This study uses a combination of user testing and analysis to evaluate the impact of brush and tooltip on the comprehension of time series visualizations. Employing a sequential mixed-methods approach, with qualitative data from semi-structured interviews used to inform the design of a visualization tool, followed by a quantitative user study to validate it. Sixteen (16) participants from various fields of study, predominantly computer science, participated in the study. A MANOVA test was conducted with results indicating a significant statistical difference between the groups. Results deriving from the study show that the use of brush and tooltip increases user accuracy on detecting outliers, as for perception of trends and patterns. The study’s context was limited to desktop usage, and all participants were treated as a homogenous group, presenting potential limitations in applying these findings to other devices or more diverse user groups. The results provide information about improving time series data visualizations for facilitating more efficient and effective understanding, which can be relevant specifically to data analysts and academic researchers.

This study uses a combination of user testing and analysis to evaluate the impact of brush and tooltip on the comprehension of time series visualizations. Employing a sequential mixed-methods approach, with qualitative data from semi-structured interviews used to inform the design of a visualization tool, followed by a quantitative user study to validate it. Sixteen (16) participants from various fields of study, predominantly computer science, participated in the study. A MANOVA test was conducted with results indicating a significant statistical difference between the groups. Results deriving from the study show that the use of brush and tooltip increases user accuracy on detecting outliers, as for perception of trends and patterns. The study’s context was limited to desktop usage, and all participants were treated as a homogenous group, presenting potential limitations in applying these findings to other devices or more diverse user groups. The results provide information about improving time series data visualizations for facilitating more efficient and effective understanding, which can be relevant specifically to data analysts and academic researchers.