中文
相关论文

相关论文: INDCOR white paper 4: Evaluation of Interactive Na…

200 篇论文

The nature of interaction within Interactive Digital Narrative (IDN) is inherently complex. This is due, in part, to the wide range of potential interaction modes through which IDNs can be conceptualised, produced and deployed and the…

人机交互 · 计算机科学 2024-10-15 Frank Nack , Sandy Louchart , Kris Lund , Mattia Bellini , Iva Georgieva , Pratama W. Atmaja , Peter Makai

This white paper introduces Interactive Digital Narratives (IDN) as a powerful tool for tackling the complex challenges we face in today's society. In the scope of COST Action 18230 - Interactive Narrative Design for Complexity…

Citizens everywhere have the right to be well-informed. Yet, with the high complexity of many contemporary issues, such as global warming and migration, our means of information need to mutually adapt. Narrative has always been at the core…

This white paper was written by the members of the Work Group focusing on design practices of the COST Action 18230 - Interactive Narrative Design for Complexity Representation (INDCOR, WG1). It presents an overview of Interactive Digital…

COST Action 18230 INDCOR (Interactive Narrative Design for Complexity Representations) is an interdisciplinary network of researchers and practitioners intended to further the use of interactive digital narratives (IDN1) to represent highly…

多媒体 · 计算机科学 2020-11-10 Hartmut Koenitz , Mirjam Palosaari Eladhari , Sandy Louchart , Frank Nack

This paper explores how Interactive Digital Narratives (IDNs) can support learners in developing the critical literacies needed to address complex societal challenges, so-called wicked problems, such as climate change, pandemics, and social…

人机交互 · 计算机科学 2025-08-18 Christian Roth , Rahmin Bender-Salazar , Breanne Pitt

In this text, we consider the authoring of interactive digital narratives (IDNs) as a system of interwoven creative processes and look at it as a design process. The aim is to better understand the structural, aesthetic and interactive…

人机交互 · 计算机科学 2025-06-10 Frank Nack

Interactive Narrative Systems (INS) have revolutionized digital experiences by empowering users to actively shape their stories, diverging from traditional passive storytelling. However, the field faces challenges due to fragmented research…

人机交互 · 计算机科学 2026-02-12 Jules Clerc , Domitile Lourdeaux , Mohamed Sallak , Johann Barbier , Marc Ravaine

This article addresses the possibility of supporting the construction of emotions in the participants of Interactive Digital Narratives (IDN) by means of colours. The article uses goal models for expressing protostories. The core of the…

人机交互 · 计算机科学 2021-04-27 Kuldar Taveter , Eliise Marie Taveter

Implicit Neural Representations (INRs) have emerged as a paradigm in knowledge representation, offering exceptional flexibility and performance across a diverse range of applications. INRs leverage multilayer perceptrons (MLPs) to model…

计算机视觉与模式识别 · 计算机科学 2025-02-19 Amer Essakine , Yanqi Cheng , Chun-Wun Cheng , Lipei Zhang , Zhongying Deng , Lei Zhu , Carola-Bibiane Schönlieb , Angelica I Aviles-Rivero

When explaining the decisions of deep neural networks, simple stories are tempting but dangerous. Especially in computer vision, the most popular explanation approaches give a false sense of comprehension to its users and provide an overly…

机器学习 · 计算机科学 2021-09-17 Matthias Kirchler , Martin Graf , Marius Kloft , Christoph Lippert

Interactive digital storytelling becomes a popular choice for information presentation in many fields. Its application spans from media industry and business information visualization, through digital cultural heritage, serious games,…

人机交互 · 计算机科学 2020-11-10 Selma Rizvic , Dusanka Boskovic , Vensada Okanovic , Sanda Sljivo , Merima Zukic

Information overload and misinformation create significant challenges in extracting meaningful narratives from large news collections. This paper defines the nascent field of Interactive Narrative Analytics (INA), which combines…

人机交互 · 计算机科学 2026-01-19 Brian Keith

Deep learning model design, development, and debugging is a process driven by best practices, guidelines, trial-and-error, and the personal experiences of model developers. At multiple stages of this process, performance and internal model…

人机交互 · 计算机科学 2024-07-26 Thilo Spinner , Daniel Fürst , Mennatallah El-Assady

The last decade of machine learning has seen drastic increases in scale and capabilities. Deep neural networks (DNNs) are increasingly being deployed in the real world. However, they are difficult to analyze, raising concerns about using…

机器学习 · 计算机科学 2023-08-22 Tilman Räuker , Anson Ho , Stephen Casper , Dylan Hadfield-Menell

Implicit Neural Representations (INRs) are powerful to parameterize continuous signals in computer vision. However, almost all INRs methods are limited to low-level tasks, e.g., image/video compression, super-resolution, and image…

计算机视觉与模式识别 · 计算机科学 2023-12-04 Yiran Song , Qianyu Zhou , Lizhuang Ma

Digital capturing of memorable personal items is a key way to archive personal memories. Although current digitization methods (e.g., photos, videos, 3D scanning) can replicate the physical appearance of an item, they often cannot preserve…

人机交互 · 计算机科学 2025-02-17 Zisu Li , Jiawei Li , Zeyu Xiong , Shumeng Zhang , Faraz Faruqi , Stefanie Mueller , Chen Liang , Xiaojuan Ma , Mingming Fan

In Information Retrieval (IR), whether implicitly or explicitly, queries and documents are often represented as vectors. However, it may be more beneficial to consider documents and/or queries as multidimensional objects. Our belief is this…

信息检索 · 计算机科学 2010-02-18 Benjamin Piwowarski , Ingo Frommholz , Mounia Lalmas , Keith van Rijsbergen

Narratives are fundamental to our perception of the world and are pervasive in all activities that involve the representation of events in time. Yet, modern online information systems do not incorporate narratives in their representation of…

人机交互 · 计算机科学 2020-10-27 Brian Keith , Tanushree Mitra

Although interactive learning puts the user into the loop, the learner remains mostly a black box for the user. Understanding the reasons behind queries and predictions is important when assessing how the learner works and, in turn, trust.…

机器学习 · 统计学 2018-05-23 Stefano Teso , Kristian Kersting
‹ 上一页 1 2 3 10 下一页 ›