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Träfflista för sökning "WFRF:(Holgersson Jesper) srt2:(2020-2023)"

Sökning: WFRF:(Holgersson Jesper) > (2020-2023)

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1.
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2.
  • Alklind Taylor, Anna-Sofia, 1975-, et al. (författare)
  • Guardian Angel : Using Lighting Drones to Improve Traffic Safety, Sense of Security, and Comfort for Cyclists
  • 2023
  • Ingår i: Lecture Notes in Computer Science. - Cham : Springer. - 9783031480461 - 9783031480478 ; , s. 209-223
  • Konferensbidrag (refereegranskat)abstract
    • Active mobility, such as biking, faces a common challenge in Swedish municipalities due to the lack of adequate lighting during the dark winter months. Insufficient lighting infrastructure hinders individuals from choosing bicycles, despite the presence of well-maintained bike paths and a willingness to cycle. To address this issue, a project has been undertaken in the Swedish municipality of Skara for an alternative lighting solution using drones. A series of tests have been conducted based on drone prototypes developed for the selected bike paths. Participants were invited to cycle in darkness illuminated by drone lighting and share their mobility preferences and perception. This paper summarizes the users’ perception of drone lighting as an alternative to fixed lighting on bike paths, with a special focus on the impact on travel habits and the perceived sense of security and comfort. Most participants were regular cyclists who cited bad weather, time, and darkness as significant factors that deterred them from using bicycles more frequently, reducing their sense of security. With drone lighting, the participants appreciated the illumination’s moonlight-like quality and its ability to enhance their sense of security by illuminating the surroundings. On the technology side, they gave feedback on reducing the drone’s sound and addressing lighting stability issues. In summary, the test results showcase the potential of drone lighting as a viable alternative to traditional fixed lighting infrastructure, offering improved traffic safety, sense of security, and comfort. The results show the feasibility and effectiveness of this innovative approach, supporting transformation towards active and sustainable mobility, particularly in regions facing lighting challenges.
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3.
  • Holgersson, Jesper, PhD, 1974-, et al. (författare)
  • Cybersecurity and Digital Exclusion of Seniors : What Do They Fear?
  • 2021
  • Ingår i: Human Aspects of Information Security and Assurance. - Cham : Springer. - 9783030811112 - 9783030811105 - 9783030811136 ; , s. 12-21
  • Konferensbidrag (refereegranskat)abstract
    • The rapid development of digitalization has led to a more or less endless variety of ways for individuals to communicate and interact with the outside world. However, in order to take advantage of all the benefits of digitalization, individuals need to have the necessary skills. Seniors represent a group that, compared to other groups, lives in a digital exclusion to an excessive extent, mainly due to the fact that they lack the necessary knowledge to use digital technology and digital services. Based on empirical data collected from seniors partaking in digital training, we have analyzed their perceptions of why they and other seniors are digitally excluded. Our findings point out that a major barrier for seniors to be more digitally included is different variants of fear of using digital technology and digital services. The common denominator can be traced down the possibilities to be exposed to frauds, scams, viruses, and faulty handling, which in turn cause undesired consequences. Consequently, we propose a research agenda where digital training and digital inclusion measurements should be studied side by side with cybersecurity behavior. Thus, making cybersecurity a fundamental part of digital inclusion has the potential to minimize the fears identified in this research as inhibitors to technology adoption.
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4.
  • Holgersson, Johan, et al. (författare)
  • Hypothermic versus Normothermic Temperature Control after Cardiac Arrest
  • 2022
  • Ingår i: NEJM Evidence. - 2766-5526. ; 1:11, s. 1-13
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUNDThe evidence for temperature control for comatose survivors of cardiac arrest is inconclusive. Controversy exists as to whether the effects of hypothermia differ per the circumstances of the cardiac arrest or patient characteristics.METHODSAn individual patient data meta-analysis of the Targeted Temperature Management at 33°C versus 36°C after Cardiac Arrest (TTM) and Hypothermia versus Normothermia after Out-of-Hospital Cardiac Arrest (TTM2) trials was conducted. The intervention was hypothermia at 33°C and the comparator was normothermia. The primary outcome was all-cause mortality at 6 months. Secondary outcomes included poor functional outcome (modified Rankin scale score of 4 to 6) at 6 months. Predefined subgroups based on the design variables in the original trials were tested for interaction with the intervention as follows: age (older or younger than the median), sex (female or male), initial cardiac rhythm (shockable or nonshockable), time to return of spontaneous circulation (above or below the median), and circulatory shock on admission (presence or absence).RESULTSThe primary analyses included 2800 patients, with 1403 assigned to hypothermia and 1397 to normothermia. Death occurred for 691 of 1398 participants (49.4%) in the hypothermia group and 666 of 1391 participants (47.9%) in the normothermia group (relative risk with hypothermia, 1.03; 95% confidence interval [CI], 0.96 to 1.11; P=0.41). A poor functional outcome occurred for 733 of 1350 participants (54.3%) in the hypothermia group and 718 of 1330 participants (54.0%) in the normothermia group (relative risk with hypothermia, 1.01; 95% CI, 0.94 to 1.08; P=0.88). Outcomes were consistent in the predefined subgroups.CONCLUSIONSHypothermia at 33°C did not decrease 6-month mortality compared with normothermia after out-of-hospital cardiac arrest. (Funded by Vetenskapsrådet; ClinicalTrials.gov numbers NCT02908308 and NCT01020916.)
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5.
  • Holgersson, Jesper, PhD, 1974-, et al. (författare)
  • Reducing digital exclusion of seniors - Exploring the lasting effects of collaborative training sessions
  • 2020
  • Ingår i: Proceedings of Ongoing Research, Practitioners, Posters, Workshops, and Projects at EGOV-CeDEM-ePart 2020 co-located with the IFIP WG 8.5 International Conference EGOV-CeDEM-ePart 2020. - : CEUR-WS.org. ; , s. 117-125
  • Konferensbidrag (refereegranskat)abstract
    • Today's digital society is developing rapidly and the number of smart and innovative digital services is increasing every day. However, the rapid digitalization may also lead to the exclusion of some groups. Senior citizens are one of these groups at risk. The most common way of combating digital exclusion among seniors is to offer education and hands-on training. The short term effects of such education initiatives have shown positive results but the long term lasting effects of digital training have not been explored to any greater extent. Data was collected via semi structured interviews with seniors who had previously participated in training sessions targeting Swedish seniors with a desire to become more digital. The results show that although the immediate effect of participating in training is positive, more individualized training is needed to achieve a lasting effect.
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6.
  • Rose, Jeremy, et al. (författare)
  • Digital Inclusion Competences for Senior Citizens : The Survival Basics
  • 2020
  • Ingår i: Electronic Government. - Cham : Springer. - 9783030575984 - 9783030575991 ; , s. 151-163
  • Konferensbidrag (refereegranskat)abstract
    • The rapid pace of digitalisation provides many smarter and more efficient ways of interacting with the world, but may also lead to the exclusion of some groups. Senior citizens are one of these groups at risk. Taking the European Digital Competence Framework for Citizens as a starting point, we investigate digital survival skills for the elderly. Data was collected from digital education workshops for senior citizens organized jointly between Telia, Swedish municipalities, and the researchers. We use content analysis to understand seniors’ perceptions of which competences they need to survive in an increasingly digital environment and provide a version of the Competence Framework targeted at senior citizen inclusion. Lessons for inclusion initiatives are drawn from the results.
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7.
  • Sahlin, Johannes (författare)
  • Designing Advertisement Systems with Human-centered Artificial Intelligence
  • 2023
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • Practitioners are urging using Artificial Intelligence (AI) to improve advertisements. Advertisers recognize the importance of incorporating AI into their strategies to remain competitive. In response to this demand, a Design Science Research (DSR) initiative has been started to create a Human-Centered AI (HCAI) tool to enhance advertisement suggestions by analyzing consumer behavior. This dissertation aims to build an advertisement optimization system with HCAI and produce an Information System Design Theory (ISDT) of that class of system. Through architectural models, methods, technological rules, and design principles, nascent Design Theory (DT) is created and serves as an initial stage towards achieving a more abstract design knowledge known as the ISDT. The action design research method is employed to construct and analyze the implemented system instance. The process involves multiple cycles of building, intervening, and evaluating. These cycles are conducted iteratively and incrementally, allowing for the gradual development of the suggested system while simultaneously generating valuable design knowledge. The system is developed and abstracted for design knowledge from both the development process and the actual tool. The dissertation presents nascent design knowledge in the form of models, technological rules, and design principles. Moreover, the dissertation places the nascent DT within the broader context of a more abstract design knowledge called ISDT. The results are then scrutinized based on various components of the DT, including purpose and scope, constructs, principles of form and function, artifact mutability, justificatory knowledge, testable propositions, principles of implementation, and expository instantiation. This dissertation discusses the DSR process, compared to various challenges encountered throughout the research project. Theoretical, empirical, and artefactual research contributions are outlined, and their implications for research and practice are discussed toward the end of the dissertation. The quality of the research is examined, considering the relevance, novelty, usefulness, feasibility, design rigor, evaluation rigor, and transparency of the artifacts produced throughout the dissertation. The dissertation concludes that it delivered ISDT. Moreover, the system serves as a valuable example of how AI can be utilized for optimizing digital advertisements. The dissertation ends with providing recommendations for future research.
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8.
  • Sahlin, Johannes, et al. (författare)
  • Evaluating artificial short message service campaigns through rule based multi-instance multi-label classification
  • 2021
  • Ingår i: AAAI-MAKE 2021Combining Machine Learning and Knowledge Engineering. - : CEUR-WS.
  • Konferensbidrag (refereegranskat)abstract
    • Marketers need new ways of generating campaigns artificially for their marketing activities. Many marketers assume proprietary systems are individualized enough. This article investigates an order of models used to measure how reliably a system can generate campaigns artificially while producing a campaign classification and generation models that are integrated into an intelligent marketing system. The order is between a Classification Model (CM) and a Generation Model (GM). The order also functions as an iterative model improvement process for developing the models by evaluating the models' accuracy distributions. The CM received a mean accuracy of 100%. The GM received 98.9% mean accuracy and a reproducibility score of 96.2%, implying the vast potential for increased resource savings, marketing precision, and less consumer annoyance. The conclusion is that the developed system can reliantly construct campaigns.
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9.
  • Sahlin, Johannes, et al. (författare)
  • Exploring Consumers' Discernment Ability of Autogenerated Advertisements
  • 2023
  • Ingår i: Machine Learning, Multi Agent and Cyber Physical Systems. - : World Scientific. - 9789811269257 - 9789811269271 ; , s. 322-329
  • Konferensbidrag (refereegranskat)abstract
    • Autogenerated Advertisements (AGAs) can be a concern for consumers if they suspect that Artificial Intelligence (AI) was involved. Consumers may have an opposing stance against AI, leading companies to miss profit opportunities and reputation loss. Hence, companies need ways of managing consumers’ con-cerns. As a part of designing such advices we explore consumers’ discernment ability (DA) of AGAs. A quantitative survey was used to explore consumers’ DA of AGAs. In order to do this, we administered questionnaires to 233 re-spondents. A statistical analysis including Z-tests, of these responses suggests that consumers can hardly pick out AGAs. This indicates that consumers may be guessing and thus do not possess any significant DA of our AGAs.
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10.
  • Sahlin, Johannes, et al. (författare)
  • Scoped Literature Review of Artificial Intelligence Marketing Adoptions for Ad Optimization with Reinforcement Learning
  • 2023
  • Ingår i: Machine Learning, Multi Agent and Cyber Physical Systems. - : World Scientific. - 9789811269257 - 9789811269271 ; , s. 416-423
  • Konferensbidrag (refereegranskat)abstract
    • Artificial Intelligence (AI) and Machine Learning (ML) are shaping marketing activities through digital innovations. Competition is a familiar concept for any digital retailer, and the digital transformation provides hopes for gaining a competitive edge over competitors. Those who do not adopt digital innovations risk getting outcompeted by those who do. This study aims to identify AI mar-keting (AIM) adoptions used for ad optimization with Reinforcement Learning (RL). A scoped literature review is used to find ad optimization adoptions re-search trends with RL in AIM. Scoping this is important both to research and practice as it provides spots for novel adaptations and directions of research of digital ad optimization with RL. The results of the review provide several different adoptions of ad optimization with RL in AIM. In short, the major category is Ad Relevance Optimization that takes several different forms depending on the purpose of the adoption. The underlying found themes of adoptions are Ad Attractiveness, Edge Ad, Sequential Ad and Ad Criteria Optimization. In conclusion, AIM adoptions with RL is scarce, and recommendations for future research are suggested based on the findings of the review.
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11.
  • Sahlin, Johannes, et al. (författare)
  • Short message service campaign taxonomy for an intelligent marketing system
  • 2020
  • Ingår i: Developments of Artificial Intelligence Technologies in Computation and Robotics. - Singapore : World Scientific. - 9789811223327 - 9789811223334 - 9789811223341 ; , s. 606-613
  • Konferensbidrag (refereegranskat)abstract
    • This study presents a novel taxonomy of short message service campaigns, for the purpose of building an intelligent marketing system. The main issue of mass marketing is that one size does not fit everybody. In other words, it is challenging to meet different consumer needs. With the help of artificial intelligence, marketers can be supported to overcome some of these challenges. This study uses a mixed methods approach where design science and grounded theory is used to produce a short message service campaign taxonomy for a future intelligent marketing system. Data collection consisted of 386 previously active campaigns used over 33 months to build the taxonomy. An experimental study was conducted to test the effectiveness of the proposed taxonomy. The experiments involved automatic generation of campaign messages. The validity of these campaign messages, and hence the proposed taxonomy, was ascertained by analysing the messages within a business context. The study concludes that the system, intertwined with the taxonomy, performs comparably to a regular campaign. Another proof of concept is that the business context deemed the generated campaign texts to be both semantically and syntactically similar to run them in active campaigns as experiments.
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