Effective Machine Learning algorithms require meticulous data preparation. In contemporary microprocessors, ensuring predictable and efficient memory access is crucial to mitigate cache misses. Therefore, compact data...
ISBN:
(纸本)9783031606373;9783031606380
Effective Machine Learning algorithms require meticulous data preparation. In contemporary microprocessors, ensuring predictable and efficient memory access is crucial to mitigate cache misses. Therefore, compact data structures with high information density are crucial for optimal computation. This paper discusses the interplay of musical meter and microtiming, as long-term expectation of pattern repetition and short-term deviations. A review of musicological, cognitive and computational models is presented. The literature regards meter perception of rhythmic patterns as a manifestation of human attentive behavior, which is also culturally dependent. Additionally, the paper discusses dissimilarity measures of rhythmic patters. The author introduces two algorithms featuring normalized binary representations of rhythmic patterns of inter-onset intervals, activation functions for computing linear, and logarithmic time differences. Bitwise operations are implemented for the bit-sequences of rhythmic patterns. The author offers an implementation of mutual information calculation as bitwise operations.
This paper shows howa tool that explore future possibilities, ReadySetFuture_, helped a major automotive maker understand how shifts in consumer values may impact the features and use cases that surprise and delight f...
ISBN:
(纸本)9783031613524;9783031613531
This paper shows howa tool that explore future possibilities, ReadySetFuture_, helped a major automotive maker understand how shifts in consumer values may impact the features and use cases that surprise and delight future vehicle consumers in the year 2033. It contrasts two common mindsets when thinking about the future: a there is no alternative (TINA) mindset and a there are many alternatives (TAMA) mindset. The future contains numerous alternatives and possibilities, ripe for exploration and proactive planning. ReadySetFuture_ was included in a series of workshops to cultivate a heightened sense of curiosity about future possibilities. The paper examines the planning and development stages of ReadySetFuture_ and highlights key findings that demonstrates how the tool enhances users' curiosity. The paper details the design, development, and testing processes, emphasizing its approaches to evoke curiosity. Additionally, it discusses the strategic integration of various curiosity-invoking techniques, which contributes to a more extensive approach to futures thinking. The game's success in generating over 100 scenarios across workshops highlights its effectiveness in encouraging participants to explore diverse perspectives on potential futures.
Data science has emerged as a critical field for organizations seeking to harness the power of big data to inform strategic decisions and gain a competitive edge. However, the demand for data scientists far exceeds th...
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ISBN:
(纸本)9783031601248;9783031601255
Data science has emerged as a critical field for organizations seeking to harness the power of big data to inform strategic decisions and gain a competitive edge. However, the demand for data scientists far exceeds the currently available pool of qualified candidates, making it a significant challenge for organizations to hire and train the right talent. The discipline of data science is inherently multi-faceted, requiring a diverse set of technical and non-technical skills that can be rare to find in individuals or teams. In response to this challenge, our study has developed a comprehensive framework, drawing insights from extensive literature, identifying and underscoring the enduring relevance of 130 distinct competencies for the future data scientist. This framework stands out for its depth and breadth, offering a more holistic perspective than existing models found in the literature. By embracing this framework, organizations can craft more effective recruitment strategies, enhance the professional growth of their data science teams, and ultimately strengthen their capacity to leverage data for making informed and strategic decisions.
In today's digital world, children are encouraged to develop a significant part of their daily lives by online means. Age assurance solutions have become essential tools to ensure the protection of their fundament...
ISBN:
(纸本)9783031680236;9783031680243
In today's digital world, children are encouraged to develop a significant part of their daily lives by online means. Age assurance solutions have become essential tools to ensure the protection of their fundamental rights. This is reflected in different regulatory frameworks, strategies, codes, and recommendations concerning children's protection and a safer Internet. These solutions estimate or verify users' ages, allowing for the establishment of age restrictions for content, services, and goods. However, the intersection of safety and privacy within this field poses significant challenges, not only for children but for all Internet users. This research explores the privacy and data protection implications of age assurance, analyzing existing solutions and proposing a comprehensive privacy threat model. The threat model developed in this paper can be widely applied to improve the design and implementation of current solutions, policy and guidelines formulation, and awareness initiatives about age assurance challenges. By balancing adequate age assurance with robust and compliant data protection, we can create a digital environment for everyone that guarantees the protection of fundamental rights.
As a visual expression tool for service concept models, Service Blueprint directly affect the efficiency and sharing level of multi-party cooperation in service design, service management, and service deliver. Based o...
ISBN:
(纸本)9783031613616;9783031613623
As a visual expression tool for service concept models, Service Blueprint directly affect the efficiency and sharing level of multi-party cooperation in service design, service management, and service deliver. Based on the research and analysis of multiple cases, this article provides an optimized service design innovation framework: 1) Using digital transformation to standardize Service Blueprint tools;2) In the digital Service Blueprint, a universal component library and business middle platform (which calledMiddle-stage) are constructed based on atomic design theory to achieve the reuse of service components, thereby improving the collaborative efficiency and resource utilization of service design, achieving consistency in service experience, and improving service quality.
The rapid development of digital technology has gradually expanded its application in the field of children's education, providing new perspectives for the deep integration of technology and aesthetic education. T...
ISBN:
(纸本)9783031613586;9783031613593
The rapid development of digital technology has gradually expanded its application in the field of children's education, providing new perspectives for the deep integration of technology and aesthetic education. This research aims to explore the application of digital technology in museum-based aesthetic education for children, intending to leverage advanced technology to offer children a more enriching, interactive, and inspirational learning experience. Firstly, the paper delineates the current application status of digital technology in the Chinese educational landscape and analyzes the challenges faced by museum-based aesthetic education for children. Secondly, through empirical case studies, it summarizes the evolution of children's aesthetic education exhibitions from traditional multimedia installations dominated by images and sound towards more innovative applications of digital technology. This includes cutting-edge technologies such as artificial intelligence and augmented reality, creating a more immersive, interactive, and educationally meaningful learning environment for children. This approach effectively stimulates children's interest in art and culture, promoting in-depth learning. In conclusion, this paper summarizes the instructional effects of digital technology in museum-based aesthetic education for children, discussing its feasibility as a beneficial supplement to traditional aesthetic education-methods. The application of digital technology not only encompasses artistic creation, technological experiences, and scientific knowledge, but also integrates the essence of Chinese culture and world civilization. This holds profound significance and guiding influence in enhancing children's understanding of concepts such as sustainable development, environmental protection, cultural transmission, and the shared destiny of humanity.
Students learning with intelligent tutoring systems (ITS) do not always trust system recommendations. One solution for this is explainable AI (XAI), which is shown to increase trust in AI. Our research focuses on how ...
ISBN:
(纸本)9783031630279;9783031630286
Students learning with intelligent tutoring systems (ITS) do not always trust system recommendations. One solution for this is explainable AI (XAI), which is shown to increase trust in AI. Our research focuses on how students' personality traits affect their interactions with XAI, and how XAI affects students' trust and actions in an ITS. We evaluated this by adding XAI to SQL-Tutor and conducting a pilot study with 15 participants from an introductory database course. We found that personality traits affect students' interactions with XAI, and that students engaging with XAI trust the system more.
As users use an interactive application, they may, deliberately or inadvertently, use it in ways not anticipated by the developer. Unanticipated use of an application is considered an important and positive phenomenon...
ISBN:
(纸本)9783031613616;9783031613623
As users use an interactive application, they may, deliberately or inadvertently, use it in ways not anticipated by the developer. Unanticipated use of an application is considered an important and positive phenomenon. It reveals clues to improve usability and enhance functionality, which were not conceived of in the initial design phase. However, developers often fail to benefit from such an opportunity due to the lack of sufficient knowledge about user behavior with respect to task completion. We propose an approach to discovering unexpected uses of an interactive application. In our approach, we choose aspect-oriented instrumentation to capture user interface events across architectural boundaries of an interactive application, perform model-based analysis to identify tasks and task sequences from preprocessed event traces, and conduct criteria-guided evaluation to discover unanticipated uses. Our goal is to provide tool support that is adaptable to an evolving application.
With the recent COVID-19 pandemic, students have reported that online classes not only lack effective teaching practices, but there is also an absence of the collaborative learning aspect that provides students with t...
ISBN:
(纸本)9783031601248;9783031601255
With the recent COVID-19 pandemic, students have reported that online classes not only lack effective teaching practices, but there is also an absence of the collaborative learning aspect that provides students with the ability to have quality interactions with one another and stay engaged (Dumford& Miller, 2018). The purpose of the current study was to assess the efficacy of animated and digital human avatars in comparison to traditional instructors in lecture videos. Data from 58 participants were analyzed. Participants were instructed to watch a total of four 4-7 min instructional videos and answer comprehension questions. The four videos in each condition consisted of two "Easy" Content and two "Hard" Content videos with the respective instructor type in that condition. After viewing a video, participants were asked to rate how much mental effort they devoted to understanding the information presented, and fill out questionnaires about their perceived engagement, trust in the avatar, and perceived usability of the instructional video. The results showed participants scored higher on the quizzes when the video content was hard than when it was easy. Participants also scored higher on the quiz when the video was presented with the human professor than the digital human professor. These results suggest that students may be more engaged, and as a result, showed higher quiz scores with the videos when the topic is more complex or when a human professor was present.
The security of many protocols such as voting and blockchains relies on a secure source of randomness. Decentralised Randomness Beacon (DRB) has been considered as a promising approach, where a set of participants joi...
ISBN:
(纸本)9783031477539;9783031477546
The security of many protocols such as voting and blockchains relies on a secure source of randomness. Decentralised Randomness Beacon (DRB) has been considered as a promising approach, where a set of participants jointly generates a sequence of random outputs. While the DRBs have been extensively studied, they failed to capture the advantage that some participants learn random outputs earlier than other participants. In time-sensitive protocols whose execution depends on the randomness from a DRB, such an advantage allows the adversary to behave adaptively according to random outputs, compromising the fairness and/or security in these protocols. In this paper, we formalise a new property, delivery-fairness, to quantify the advantage. In particular, we distinguish two aspects of deliveryfairness, namely length-advantage, i.e., how many random outputs an adversary can learn earlier than correct participants, and time-advantage, i.e., how much time an adversary can learn a given random output earlier than correct participants. In addition, we prove the lower bound of delivery-fairness showing optimal guarantee. We further analyse the delivery-fairness guarantee of state-of-the-art DRBs and discuss insights, which, we show through case studies, could help improve delivery-fairness of existing systems to its optimal.
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