Artificial Intelligence in HCI (eBook, PDF)

First International Conference, AI-HCI 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19-24, 2020, Proceedings
Redaktion: Degen, Helmut; Reinerman-Jones, Lauren

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the First International Conference on Artificial Intelligence in HCI, AI-HCI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020, in July 2020. The conference was planned to be held in Copenhagen, Denmark, but had to change to a virtual conference mode due to the COVID-19 pandemic.

The conference presents results from academic and industrial research, as well as industrial experiences, on the use of Artificial Intelligence technologies to enhance Human-Computer Interaction.

From a total of 6326 submissions, a total of 1439 papers and 238 posters has been accepted for publication in the HCII 2020 proceedings. The 30 papers presented in this volume were organized in topical sections as follows: Human-Centered AI; and AI Applications in HCI.pical sections as follows: Human-Centered AI; and AI Applications in HCI.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 448
• Erscheinungstermin: 10. Juli 2020
• Englisch
• ISBN-13: 9783030503345
• Artikelnr.: 59818711

Inhaltsangabe

Towards Increased Transparency with Value Sensitive Design.- A Method for Quickly Establishing Personas.- The Role of Behavioral Anthropomorphism in Human-Automation Trust Calibration.- Transparency and Trust in Human-AI-Interaction: The Role of Model-Agnostic Explanations in Computer Vision-Based Decision Support.- Defining a Human-Machine Teaming Model for AI-powered Human-centered Machine Translation Agent by Learning from Human-Human Group Discussion: Dialog Categories and Dialog Moves.- Rethinking Personas for Fairness: Algorithmic Transparency and Accountability in Data-Driven Personas.- Enriching Social Media Personas with Personality Traits: A Deep Learning Approach Using the Big Five Classes.- Color for Characters - Effects of Visual Explanations of AI on Trust and Observability,- Human-in-the-Loop Design Cycles - A Process Framework that Integrates Design Sprints, Agile Processes, and Machine Learning with Humans.- Beyond the Buzzwords: On the Perspective of AI in UX and ViceVersa.- A Paradigm Shift in Design driven by AI.- Support Vector Machine Algorithm to Classify Instagram Users' Accounts Based on Users' Interests.- Customer Self-Remediation of Proactive Network Issue Detection and Notification.- Cross-Scenario Performance Modelling for Big Data Ecosystems.- Interaction with the Soundscape: Exploring Emotional Audio Generation for Improved Individual Wellbeing.- A Feature Importance Study in Ballet Pose Recognition with OpenPose.- Educators in the Loop: Using Scenario Simulation as a Tool to Understand and Investigate Predictive Models of Student Dropout Risk in Distance Learning.- Is My Home Smart or Just Connected?.- Design Intelligence - Pitfalls and Challenges when Designing AI Algorithms in B2B Factory Automation.- Socio-Technical Design of Hybrid Intelligence Systems - the Case of Predictive Maintenance.- EasySketchDesign: Product Sketch Design Assisted with Interactive Sketch Retrieval.- Contextual Programming of Collaborative Robots.- AI Mobility Solutions for an Active Ageing Society - Introducing Aesthetic Affordances in the Design of Smart Wheelchairs.- Prediction-Based Uncertainty Estimation for Adaptive Crowd Navigation.- A Heterogeneous Ensemble Learning-based Acoustic Fall Detection Method for Elderly People in Indoor Environment.- Multi-view Visual Question Answering Dataset for Real Environment Applications.- Social Dynamics in Human-Robot Groups: Possible Consequences of Unequal Adaptation to Group Members Through Machine Learning in Human-Robot Groups.- What Emotions Make One or Five Stars? Understanding Ratings of Online Product Reviews by Sentiment Analysis and XAI.- Joking AI via Visual cues.- Interactive Method to Elicit Local Causal Knowledge for Creating a Huge Causal Network.