Titlebook: Artificial Intelligence in HCI; 5th International Co Helmut Degen,Stavroula Ntoa Conference proceedings 2024 The Editor(s) (if applicable)

煉油廠

Incorporating Artificial Intelligence into Design Criteria Considerationspplications and user interfaces (UIs), this study investigates the incorporation of AI into the consideration of design criteria. In particular, it explores the implications for issues that arise between AI and the field and context of Human–Computer Interaction (HCI). Through a two-part literature

我不重要

財(cái)產(chǎn)

Co-creation with AI in Car Design: A Diffusion Model Approachdesign. Our primary objective is to investigate how the collaborative design process, where human designers and AI work together with the assist of pre-trained car design diffusion model, can revolutionize car design by enhancing creativity, efficiency, and overall user satisfaction. We built the ca

Lumbar-Spine

表皮

Estimating Reliability of Speech Recognition Results Using Recognition Results Change Degree When Mi due to the nature of the speech recognition mechanism. From the standpoint of developing applications that incorporate such speech recognition software, it is necessary to know how many misrecognition errors are included in the recognition results for the speech input as this will affect the applic

Bridle

agglomerate

Design Method of AI Composing Smart Speaker Based on Humming Behaviorpeakers, based on the theoretical basis of human behavior psychology. Additionally, a design method for AI composing music smart speakers based on humming behavior is proposed. Literature analysis was conducted to list the theoretical framework. A behavior-function interaction evaluation model was c

松軟

Leveraging Generative AI Concepts with Uncertainty of Information Concepte neural network transformer architecture and unsupervised as well as supervised learning have created the backbone of these generative models. These transformer-based large foundation models that can handle different modalities of data are the core building blocks of the generative AI concept. One

粘連

Factors of Trust Building in Conversational AI Systems: A Literature Reviewits, and expertise. Each factor has its importance and limitations in building user trust. For example, transparency enables a better understanding of users, but complex AI systems cannot be fully transparent, which leads to mistrust. Best practices from different domains highlight context-specific

Silent-Ischemia

BlocklyBias: A Visual Programming Language for?Bias Identification in?AI Databarrier, fostering an understanding of bias, and providing mitigation strategies, this research introduces BlocklyBias, a platform founded on VPL principles. BlocklyBias serves as a foundational stepping stone for future improvements, as a tool to explore and resolve bias-related challenges in data