1,720,956 research outputs found
E-sports in to the sports movement? : Sports association clubs and their notions and attitudes about future e-sport within their own operations
No full textWith the rapid expansion of e-sports, the e-sports federation in Sweden seeks legitimacy and support in their efforts to gain recognition as a real sport. With this background, a bill has been proposed to the National Sports Association of Sweden to include the movement as a member of the organization. Thus, granting the official legitimacy and support that the e-sports movement seeks as a sport. The purpose if this study was to examine how sports clubs perceive e-sports to see if they think it has a place within the context of a traditional sports club. The method used to retrieve this data was semi-structured interviews with key decision makers within the sports clubs randomly chosen within a specific county. The purpose was examined by breaking it down into three key questions, which were then used as headlines in the result. The results of the study are that there is a willingness among most of the sports clubs to begin the work of integrating e-sports within the club, but there were requirements. One of them was drift from the starters so that the board of direction can keep doing what they do, thus they want the e-sports section to operate on its own. Another requirement was that those who wish to start the e-sports sections know the economic parameters, preferably. The less enthusiastic leaders who did not wish to integrate e-sports still wished to learn more about e-sports as they saw that it will keep expanding, these leaders were however somewhat doubtful of how an e-sports club could be integrated into a sports club and what benefits there might be for both parties in this cooperation
Strukturerad informationsutvinning från bostadsrättsföreningars rapporter med multimodala stora språkmodeller : Prestanda, kostnadseffektivitet och strategi-jämförelse
No full textThis thesis evaluates the effectiveness of five multimodal large language models, GPT-4o, GPT-4.1, Gemini 2.0 Flash, Gemini 2.5 Flash, and Mistral Medium, for extracting structured information from Swedish housing association reports. The models are benchmarked on their ability to retrieve information from 19 predefined fields using two inference strategies: page-bypage and multi-page. The evaluation focuses on three dimensions: extraction performance, cost-efficiency, and strategy-related tradeoffs. The results reveal statistically significant differences in both cost and precision, with 95% confidence intervals confirming that the multi-page approach consistently outperforms page-by-page processing on both metrics. In contrast, differences in recall and F1 score were not statistically significant, with overlapping confidence intervals suggesting these metrics are more sensitive to model-specific behavior than strategy choice. GPT‑4.1 with multipage processing achieved the highest precision of 0.70 (95% CI: 0.56, 0.84), while Gemini 2.0 Flash offered the best cost-efficiency, being over 40 times more cost-effective than GPT-4.1. These findings support the viability of multimodal large language models for structured information extraction from domain-specific, image-based documents in non-English contexts. They also underscore the importance of choosing the right model-strategy combination based on performance, cost, and application requirements. The study concludes with a guide for real-world deployment of such systems in production environments.Denna avhandling utvärderar effektiviteten hos fem multimodala stora språkmodeller, GPT-4o, GPT-4.1, Gemini 2.0 Flash, Gemini 2.5 Flash och Mistral Medium, för att extrahera strukturerad information från svenska bostadsrättsföreningars besiktningsprotokoll. Modellerna utvärderas utifrån sin förmåga att hämta data från 19 fördefinierade fält med hjälp av två inferensstrategier: sida-för-sida och helrapport (multi-page). Utvärderingen fokuserar på tre dimensioner: extraktionsprestanda, kostnadseffektivitet och strategiska avvägningar. Resultaten visar statistiskt signifikanta skillnader i både kostnad och precision, där 95% konfidensintervall bekräftar att helrapportstrategin konsekvent överträffar sida-för-sida-metoden i båda avseenden. Skillnader i återkall och F1-poäng var däremot inte statistiskt signifikanta, vilket antyder att dessa mått är mer känsliga för modellspecifika variationer än för strategival. GPT- 4.1 med helrapportstrategin uppnådde högst precision 0.70 (95% KI: 0.56, 0.84), medan Gemini 2.0 Flash visade bäst kostnadseffektivitet med en över 40 gånger mer kostnadseffektiv model jämfört med GPT-4.1. Dessa resultat stödjer användningen av multimodala stora språkmodeller för att extrahera strukturerad information från domänspecifika, bildbaserade dokument i icke-engelska kontexter. Studien betonar vikten av att välja rätt modell och strategi utifrån prestanda, kostnad och tillämpningskrav, och avslutas med en praktisk vägledning för implementering i verkliga miljöer
Evaluation of how text-to-speech can be adapted for the specific purpose of being an AI psychologist
No full textIn this research, our goal was to pinpoint the crucial characteristics that make a voice suitable for an AI psychologist. More importantly, we wanted to explore how Text-To-Speech (TTS) combined with conditional voice controlling, also known as ”prompting”, could be used to incorporate these traits into the voice generation process. This approach allowed us to create synthetic voices that were not just effective, but also tailored to the specific needs of an AI psychologist role. We conducted an exploratory survey to identify key traits such as trustworthiness, safety, sympathy, calmness, and firmness. These traits were then used as prompts in the generation of AI voices using Tortoise, a state-of-the-art text-to-speech system. The generated voices were evaluated through a survey study, resulting in a mean opinion score for different categories corresponding to the prompts. Our findings showed that while the AI-generated voices did not quite match the quality of a real human voice, they were still quite effective in capturing the essence of the prompts and producing the desired voice characteristics. This suggests that prompting within TTS, or the strategic design of prompts, can significantly enhance the effectiveness of AI voices. In addition, we explored the potential impact of AI on the labor market, considering factors such as job displacement and creation, changes in salaries, and the need for reskilling. Our study highlights that AI will have a significant impact on the job market, but the exact nature of this impact remains uncertain. Our findings offer valuable insights into the potential of AI in psychology and highlight the importance of tailoring voice synthesis to specific applications. They lay a solid foundation for future research in this area, fostering continued innovation at the intersection of AI, psychology, and economic viability.I den här forskningen var vårt mål att lokalisera de avgörande egenskaperna som gör en röst lämplig för en AI-psykolog. Vi ville även utforska hur ”Text-Till-Tal” (TTS) i kombination med villkorlig röststyrning, också kallat prompting, kan användas för att införliva dessa egenskaper i röstgenereringsprocessen. Detta tillvägagångssätt gjorde det möjligt för oss att skapa syntetiska röster som inte bara var effektiva, utan också skräddarsydda för de specifika behoven hos en roll som AI-psykolog. Vi genomförde en utforskande undersökning för att identifiera nyckelegenskaper som pålitlighet, säkerhet, sympati, lugn och fasthet. Dessa egenskaper användes sedan som uppmaningar i genereringen av AI-röster med hjälp av TorToise, ett modern TTS-system. De genererade rösterna utvärderades genom en enkätstudie, vilket resulterade i en genomsnittlig åsiktspoäng för olika kategorier som motsvarar uppmaningarna. Våra resultat visade att även om de AI-genererade rösterna inte riktigt matchade kvaliteten på en riktig mänsklig röst, var de fortfarande ganska effektiva för att fånga kärnan i uppmaningarna och producera de önskade röstegenskaperna. Detta tyder på att TTS kombinerat med prompting, eller den emotionella styrningen av TTS, avsevärt kan förbättra effektiviteten hos AI-röster. Dessutom undersökte vi den potentiella effekten av AI på arbetsmarknaden, med hänsyn till faktorer som förskjutning och skapande av jobb, förändringar i löner och behovet av ny kompetens. Vår studie visar att AI kommer att ha en betydande inverkan på arbetsmarknaden, men den exakta karaktären av denna påverkan är fortfarande osäker. Våra resultat ger värdefulla insikter om potentialen för AI inom psykologi och belyser vikten av att skräddarsy röstsyntes för specifika applikationer. De lägger en solid grund för framtida forskning inom detta område och främjar fortsatt innovation i skärningspunkten mellan AI, psykologi och ekonomisk bärkraft
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
Evaluation of how text-to-speech can be adapted for the specific purpose of being an AI psychologist
No full textIn this research, our goal was to pinpoint the crucial characteristics that make a voice suitable for an AI psychologist. More importantly, we wanted to explore how Text-To-Speech (TTS) combined with conditional voice controlling, also known as ”prompting”, could be used to incorporate these traits into the voice generation process. This approach allowed us to create synthetic voices that were not just effective, but also tailored to the specific needs of an AI psychologist role. We conducted an exploratory survey to identify key traits such as trustworthiness, safety, sympathy, calmness, and firmness. These traits were then used as prompts in the generation of AI voices using Tortoise, a state-of-the-art text-to-speech system. The generated voices were evaluated through a survey study, resulting in a mean opinion score for different categories corresponding to the prompts. Our findings showed that while the AI-generated voices did not quite match the quality of a real human voice, they were still quite effective in capturing the essence of the prompts and producing the desired voice characteristics. This suggests that prompting within TTS, or the strategic design of prompts, can significantly enhance the effectiveness of AI voices. In addition, we explored the potential impact of AI on the labor market, considering factors such as job displacement and creation, changes in salaries, and the need for reskilling. Our study highlights that AI will have a significant impact on the job market, but the exact nature of this impact remains uncertain. Our findings offer valuable insights into the potential of AI in psychology and highlight the importance of tailoring voice synthesis to specific applications. They lay a solid foundation for future research in this area, fostering continued innovation at the intersection of AI, psychology, and economic viability.I den här forskningen var vårt mål att lokalisera de avgörande egenskaperna som gör en röst lämplig för en AI-psykolog. Vi ville även utforska hur ”Text-Till-Tal” (TTS) i kombination med villkorlig röststyrning, också kallat prompting, kan användas för att införliva dessa egenskaper i röstgenereringsprocessen. Detta tillvägagångssätt gjorde det möjligt för oss att skapa syntetiska röster som inte bara var effektiva, utan också skräddarsydda för de specifika behoven hos en roll som AI-psykolog. Vi genomförde en utforskande undersökning för att identifiera nyckelegenskaper som pålitlighet, säkerhet, sympati, lugn och fasthet. Dessa egenskaper användes sedan som uppmaningar i genereringen av AI-röster med hjälp av TorToise, ett modern TTS-system. De genererade rösterna utvärderades genom en enkätstudie, vilket resulterade i en genomsnittlig åsiktspoäng för olika kategorier som motsvarar uppmaningarna. Våra resultat visade att även om de AI-genererade rösterna inte riktigt matchade kvaliteten på en riktig mänsklig röst, var de fortfarande ganska effektiva för att fånga kärnan i uppmaningarna och producera de önskade röstegenskaperna. Detta tyder på att TTS kombinerat med prompting, eller den emotionella styrningen av TTS, avsevärt kan förbättra effektiviteten hos AI-röster. Dessutom undersökte vi den potentiella effekten av AI på arbetsmarknaden, med hänsyn till faktorer som förskjutning och skapande av jobb, förändringar i löner och behovet av ny kompetens. Vår studie visar att AI kommer att ha en betydande inverkan på arbetsmarknaden, men den exakta karaktären av denna påverkan är fortfarande osäker. Våra resultat ger värdefulla insikter om potentialen för AI inom psykologi och belyser vikten av att skräddarsy röstsyntes för specifika applikationer. De lägger en solid grund för framtida forskning inom detta område och främjar fortsatt innovation i skärningspunkten mellan AI, psykologi och ekonomisk bärkraft
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
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