1,720,954 research outputs found
AI-drivna leveransmeddelanden : Att förvandla systemuppdateringar till lärotillfällen
No full textRelease notes (RN) are documents distributed alongside software updates, summarizing new features, bug fixes, and other changes important for users to understand how their software has evolved. This thesis investigates the potential of artificial intelligence (AI) to give users a better experience with RN, with the help of personalized learning (PL) methodologies. RN are critical for users to understand updates, but previous studies show that traditional delivery messages are difficult to understand, too detailed or contain irrelevant information. In collaboration with Scania, a prototype AI-chat solution was developed to address these issues, providing customized, interactive, and user-specific information on software updates. User testing of the prototype was conducted and analyzed using thematic analysis, to answer the research questions. The results showed that conversational AI enhanced user engagement and created a greater learning opportunity. Key findings highlight the preference of concise, context-specific information and flexible delivery formats. Users especially appreciated the ability to get a brief and contextual overview first and then be able to ask follow-up questions. Although the AI solution was perceived positively, concerns were raised about trustworthiness in cases where incorrect information was identified. Another finding was that an AI solution might require more time to use than current systems, but it provides greater value to the users for the invested time. This research demonstrates that integrating AI with PL principles substantially enhances the perceived effectiveness of the RN. This suggests broader applicability of the research results across similar contexts.Leveransmeddelanden (release notes) är korta dokument som medföljer mjukvaruuppdateringar och beskriver vilka ändringar som gjorts och hur dessa kan påverka användaren. Effektiva leveransmeddelanden hjälper användare att snabbt förstå nya funktioner och nödvändiga anpassningar i deras arbetsprocesser. Denna rapport undersöker möjligheten att använda artificiell intelligens (AI) för att förbättra kommunikationen och användbarheten av leveransmeddelanden genom metoder för personligt lärande. Tidigare studier visar att traditionella leveransmeddelanden är svåra att förstå, för detaljerade eller innehåller irrelevant information. Projektet genomfördes i samarbete med Scania och involverade utvecklingen av en prototyp för en interaktiv AI-chattlösning. Lösningen var designad att ge användarna möjlighet att få personligt anpassad information om systemuppdateringar. Användartester visade att den personliga och samtalsbaserade AI-lösningen förbättrade användarnas engagemang och förståelse betydligt. Framför allt uppskattades möjligheten att först få en kort översikt och sedan kunna ställa följdfrågor för ytterligare detaljer. Samtidigt uttryckte användarna viss oro kring lösningens pålitlighet, särskilt vid risk för felaktig information. En annan upptäckt var att även om AI-lösningen kan ta något längre tid att använda, upplevdes den ändå ge ett större värde för den investerade tiden. Studien visar att genom att integrera AI och metoder för personligt lärande kan den upplevda effektiviteten i leveransmeddelanden öka avsevärt. Resultaten antyder också att liknande AI-lösningar skulle kunna vara användbara i många andra sammanhang där tydlig och individanpassad information är viktig
AI-drivna leveransmeddelanden : Att förvandla systemuppdateringar till lärotillfällen
No full textRelease notes (RN) are documents distributed alongside software updates, summarizing new features, bug fixes, and other changes important for users to understand how their software has evolved. This thesis investigates the potential of artificial intelligence (AI) to give users a better experience with RN, with the help of personalized learning (PL) methodologies. RN are critical for users to understand updates, but previous studies show that traditional delivery messages are difficult to understand, too detailed or contain irrelevant information. In collaboration with Scania, a prototype AI-chat solution was developed to address these issues, providing customized, interactive, and user-specific information on software updates. User testing of the prototype was conducted and analyzed using thematic analysis, to answer the research questions. The results showed that conversational AI enhanced user engagement and created a greater learning opportunity. Key findings highlight the preference of concise, context-specific information and flexible delivery formats. Users especially appreciated the ability to get a brief and contextual overview first and then be able to ask follow-up questions. Although the AI solution was perceived positively, concerns were raised about trustworthiness in cases where incorrect information was identified. Another finding was that an AI solution might require more time to use than current systems, but it provides greater value to the users for the invested time. This research demonstrates that integrating AI with PL principles substantially enhances the perceived effectiveness of the RN. This suggests broader applicability of the research results across similar contexts.Leveransmeddelanden (release notes) är korta dokument som medföljer mjukvaruuppdateringar och beskriver vilka ändringar som gjorts och hur dessa kan påverka användaren. Effektiva leveransmeddelanden hjälper användare att snabbt förstå nya funktioner och nödvändiga anpassningar i deras arbetsprocesser. Denna rapport undersöker möjligheten att använda artificiell intelligens (AI) för att förbättra kommunikationen och användbarheten av leveransmeddelanden genom metoder för personligt lärande. Tidigare studier visar att traditionella leveransmeddelanden är svåra att förstå, för detaljerade eller innehåller irrelevant information. Projektet genomfördes i samarbete med Scania och involverade utvecklingen av en prototyp för en interaktiv AI-chattlösning. Lösningen var designad att ge användarna möjlighet att få personligt anpassad information om systemuppdateringar. Användartester visade att den personliga och samtalsbaserade AI-lösningen förbättrade användarnas engagemang och förståelse betydligt. Framför allt uppskattades möjligheten att först få en kort översikt och sedan kunna ställa följdfrågor för ytterligare detaljer. Samtidigt uttryckte användarna viss oro kring lösningens pålitlighet, särskilt vid risk för felaktig information. En annan upptäckt var att även om AI-lösningen kan ta något längre tid att använda, upplevdes den ändå ge ett större värde för den investerade tiden. Studien visar att genom att integrera AI och metoder för personligt lärande kan den upplevda effektiviteten i leveransmeddelanden öka avsevärt. Resultaten antyder också att liknande AI-lösningar skulle kunna vara användbara i många andra sammanhang där tydlig och individanpassad information är viktig
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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