S029: Explainable Artificial Intelligence
Chair: Florian Kammüller, United Kingdom

• Explanation by Automated Reasoning Using the Isabelle Infrastructure Framework
  Florian Kammüller, United Kingdom
  
• ExMo: Explainable AI Model using Inverse Frequency Decision Rules
  Pradip Mainali, Ismini Psychoula, United Kingdom; Fabien A. P. Petitcolas, Belgium
  
• (De)Coding Social Practice in the Field of XAI: Towards a Co-constructive Framework of Explanations and Understanding Between Lay Users and Algorithmic Systems
  Josefine Finke, Ilona Horwath, Tobias Matzner, Christian Schulz, Germany
  
• MoReXAI - A Model to Reason About the eXplanation Design in AI Systems
  Niltemberg De Oliveira Carvalho, Andréia Libório Sampaio, Davi Romero De Vasconcelos, Brazil
  
• Explainable AI for Suicide Risk Assessment Using Eye Activities and Head Gestures
  Siyu Liu, Catherine Lu, Sharifa Alghowinem, United States; Lea Gotoh, Japan; Cynthia Breazeal, Hae Won Park, United States
  
• Explainable and High-Performance Hate and Offensive Speech Detection
  Marzieh Babaeianjelodar, United States; Gurram Poorna Prudhvi, India; Stephen Lorenz, Keyu Chen, Sumona Mondal, Soumyabrata Dey, Navin Kumar, United States
  

S030: AI and HCI for Application Domains of Societal Impact
Chair: Cheryl Seals, United States

• Transformer-based Multilingual G2P Converter for E-Learning System
  Jueting Liu, Chang Ren, Yaoxuan Luan, Sicheng Li, Tianshi Xie, Cheryl Seals, Marisha Speights Atkins, United States
  
• A Systematic Review of Artificial Intelligence and Mental Health in the Context of Social Media
  Xing Chen, Yegin Genc, United States
  
• A Model of Adaptive Gamification in Collaborative Location-based Collecting Systems
  María Dalponte Ayastuy, Diego Torres, Alejandro Fernandez, Argentina
  
• Evaluation of Webcam-based Eye Tracking for a Job Interview Training Platform: Preliminary Results
  Deeksha Adiani, Chang Qu, Timothy Gass, Sneha Gurram, Dylan LeMay, Ankit Bhusal, Medha Sarkar, Nilanjan Sarkar, United States
  

S060: AI Applications in HCI - I
Chair(s): To be announced

• Detecting Depression, Anxiety and Mental Stress in One Sequential Model with Multi-task Learning
  Shen Zhang, Mei Tu, Yueru Yan, Yimeng Zhuang, Likun Ge, Gaoxia Wei, P.R. China
  
• Applying Generative Adversarial Networks and Vision Transformers in Speech Emotion Recognition
  Panikos Heracleous, Satoru Fukayama, Jun Ogata, Yasser Mohammad, Japan
  
• Skeleton-Based Sign Language Recognition With Graph Convolutional Networks on Small Data
  Yuriya Nakamura, Lei Jing, Japan
  
• Research on Generative Design of Car Side Colour Rendering Based on Generative Adversarial Networks
  Yuanwei Ji, Yumiao Chen, P.R. China
  

S086: AI-assisted Evaluation of UX Aspects in the Development Process
Chairs: Gustavo Rossi, Julian Grigera, Argentina; Jordán Pascual Espada, Spain

• Predicting Request Success with Objective Features in German Multimodal Speech Assistants
  Mareike Weber, Mhd Modar Halimeh, Walter Kellermann, Birgit Popp, Germany
  
• Benchmarking Neural Networks-Based Approaches for Predicting Visual Perception of User Interfaces
  Maxim Bakaev, Russia; Sebastian Heil, Germany; Leonid Chirkov, Russia; Martin Gaedke, Germany
  
• Analysis of the Impact of Applying UX Guidelines to Reduce Noise and Focus Attention
  Jordán Pascual Espada, Lucia Alonso-Virgós, Rubén González Crespo, Spain
  
• Framework for User Experience Evaluation in MOOC Platforms
  Ana Poma Gallegos, Germania Rodriguez Morales, Pablo V. Torres-Carrión, Samanta Cueva Carrión, Ecuador
  

S087: AI Applications in HCI - II
Chair: John Pickering, United Kingdom

• Attention-Based CNN Capturing EEG Recording’s Average Voltage and Local Change
  Long Yi, Xiaodong Qu, United States
  
• Integrating Sensor Fusion with Pose Estimation for Simulating Human Interactions in Virtual Reality
  Pranavi Jalapati, Satya Naraparaju, Powen Yao, Michael Zyda, United States
  
• Object Size Prediction from Hand Movement Using a Single RGB Sensor
  Maria Dagioglou, Nikolaos Soulounias, Theodoros Giannakopoulos, Greece
  
• Hybrid Convolutional, Recurrent and Attention-based Architectures of Deep Neural Networks for Classification of Human-Computer Interaction by Electroencephalography
  Nikita Gordiienko, Oleksandr Rokovyi, Yuri Gordienko, Sergii Stirenko, Ukraine
  

S089: AI for Human Cognition, Emotions, and Physiology
Chair(s): To be announced

• Towards a Dynamic Model for the Prediction of Emotion Intensity from Peripheral Physiological Signals
  Isabel Barradas, Reinhard Tschiesner, Angelika Peer, Italy
  
• AI-based emotion recognition to study users’ perception of dark patterns
  Giuliana Vitiello, Simone Avolicino, Marco Romano, Marianna Di Gregorio, Fabio Palomba, Monica Sebillo, Italy
  
• A Comparative Study of BERT-based Attention Flows versus Human Attentions on Fill-in-blank Task
  Ming Qian, Ka Wai Lee, United States
  
• Time Majority Voting, a PC-based EEG Classifier for Non-expert Users
  Guangyao Dou, Zheng Zhou, Xiaodong Qu, United States
  
• Using Machine Learning to Determine Optimal Sleeping Schedules of Individual College Students
  Orlando Yahir Azuara-Hernandez, Zachary Gillette, United States
  
• Hierarchical Binary Classifiers for Sleep Stage Classification
  Erebus Oh, Kenneth Barkdoll, United States
  

S090: Human-AI Collaboration - Ι
Chair: Theodore Jensen, United States

• AI-based Coaching: Impact of a Chatbot’s Disclosure Behavior on the Working Alliance and Acceptance
  Vanessa Mai, Alexander Bauer, Christian Deggelmann, Caterina Neef, Anja Richert, Germany
  
• Intelligent Personal Assistants as a Means of Controlling Smart Home Devices: A Text-mining Analysis
  Nastaran Shishegar, Giorgia Chinazzo, Zeel RajuPrajapati, United States
  
• I'm Only Human: The Effects of Trust Dampening by Anthropomorphic Agents
  Theodore Jensen, Mohammad Maifi Hasan Khan, United States
  
• The best of both worlds: mixed systems with ML and humans in the loop to combat fake information
  Bianca Ximenes, Geber Ramalho, Brazil
  
• Using Cooperative Multi-Agent Systems to Support the Generation of Student Learning Profiles in the Deep Dive Land Bridge System
  Robert Reynolds, Chencheng Zhang, SAEAH SAAD, ASHLEY LEMKE, JOHN OSHEA, CAILEN OSHEA, United States
  
• Discover Manaus: The challenges of developing a system with Artificial Intelligence aimed at the end-user, a case study
  Marcos SIlbermann, Sergio Tamayo, Brazil
  

S143: Artificial and Augmented Intelligence Applications on Language, Text, and Speech Related Tasks
Chair: Ming Qian, United States

• Misinformation in Machine Translation: Error Categories and Levels of Recognition Difficulty
  Ka Wai Lee, Ming Qian, United States
  
• Say It Right: AI Neural Machine Translation Empowers New Speakers To Revitalize Lemko
  Petro Orynycz, United States
  
• Extracting and Re-mapping Narrative Text Structure Elements between Languages using Self-supervised and Active Few-shot Learning
  Ming Qian, Eve Zhu, United States
  
• Construction of an Instrument for the Quantitative Assessment of Experience in the Use of Conversational Agents
  Andressa Ferreira, Thiago Gama, Francisco Oliveira, Brazil
  
• Speech Disorders Classification by CNN in Phonetic E-Learning System
  Jueting Liu, Chang Ren, Yaoxuan Luan, Sicheng Li, Tianshi Xie, Cheryl Seals, Marisha Speights Atkins, United States
  
• Transformer-Based Automated Content-Standards Alignment: A Pilot Study
  Ziwei Zhou, Korinn Ostrow, United States
  

S173: Human-AI Collaboration - ΙΙ
Chair: Pei-Hsuan Hsieh, Taiwan^*, China

• Trafne: A Training Framework for Non-Expert Annotators with Auto Validation and Expert Feedback
  Shugo Miyata, Chia-Ming Chang, Takeo Igarashi, Japan
  
• Give Me A Hand: A Scene-Fit Hand Posture Drawing Aid
  Xiaohua Sun, Juexiao Qin, Weijian Xu, Xibing Peng, P.R. China
  
• Customizable Text-to-Image Modeling by Contrastive Learning on Adjustable Word-visual Pairs
  Jun-Li Lu, Yoichi Ochiai, Japan
  
• Emotional Communication between Chatbots and Users: An Empirical Study on Online Customer Service System
  Qianwen Xu, P.R. China; Jun Yan, Australia; Cong Cao, P.R. China
  
• Artificial Intelligence Augmenting Human Teams - A Systematic Literature Review on the Opportunities and Concerns
  Jayden Khakurel, Kirsimarja Blomqvist, Finland
  
• How can NoLow Code platforms help end-users develop ML applications - A systematic review
  LuYun Li, Zhanwei Wu, P.R. China
  

S200: UX Design and AI Impact
Chair(s): To be announced

• A Unified Framework to Collect and Document AI-Infused Project Exemplars
  Jennifer Moosbrugger, Germany; Stavroula Ntoa, Greece
  
• Exploring the Design Context of AI-Powered Services: A Qualitative Investigation of Designers’ Experiences with Machine Learning
  Emil Bergström, Pontus Wärnestål, Sweden
  
• The Impact of Artificial Intelligence on the Investment Decision Process in Venture Capital Firms
  Sarah Röhm, Markus Bick, Martin Boeckle, Germany
  
• Dominant View and Perception of Artificial Intelligence in Developing Economy
  Elefelious Getachew Belay, Italy; Getachew Hailemariam Mengesha, Nuniyat Kifle, Ethiopia
  
• Human-Centered Artificial Intelligence: Beyond a two-dimensional framework
  Matthew Pacailler, Sarah Yahoodik, Tetsuya Sato, Jeremiah Ammons, Jeremiah Still, United States
  

S228: UX Design and Evaluation of AI-Enabled Systems
Chair: Pei-Hsuan Hsieh, Taiwan^*, China

• Evaluation on Comfortable Arousal in Autonomous Driving using Physiological Indexes
  Naoki Sakashita, Narumon Jadram, Peeraya Sripian, Tipporn Laohakangvalvit, Midori Sugaya, Japan
  
• Design and Implementation of Platform Protocol and Client of Hakka Residential System based on Artificial Intelligence
  Hong Li, Shengqing Huang, P.R. China
  
• Design of AI-Enabled Application to Detect Ayurvedic Nutritional Values of Edible Items & Suggest a Diet
  Kousik Dutta, Aditya Rajput, Shreya Srivastava, Annamalai Chidambaram, Anmol Srivastava, India
  
• Developing and Testing a New Reinforcement Learning Toolkit with Unreal Engine
  Francesco Sapio, Riccardo Ratini, Italy
  
• An AI-based Decision Support System for Quality Control applied to the Use Case Donor Cornea
  Gian-Luca Kiefer, Tarek Safi, Matthias Nadig, Mansi Sharma, Muhammad Moiz Sakha, Alassane Ndiaye, Matthieu Deru, Loay Daas, Katja Schulz, Marvin Schwarz, Berthold Seitz, Jan Alexandersson, Germany
  

S256: HCI in Machine Learning Approaches
Chair: Mathew Nicho, United Arab Emirates

• A New Human Factor Study in Developing Practical Vision-based Applications with the Transformer-based Deep Learning Model
  Thitirat Siriborvornratanakul, Thailand
  
• Replacing Human input in Spam Email Detection using Deep Learning
  Mathew Nicho, United Arab Emirates; Farzan Majdani, Christopher McDermott, United Kingdom
  
• Scene Change Captioning in Real Scenarios
  Yue Qiu, Kodai Nakashima, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka, Japan
  
• ConfLabeling: Assisting Image Labeling with User and System Confidence
  Yi Lu, Chia-Ming Chang, Takeo Igarashi, Japan
  

S310: Human-Centered AI
Chair: Helmut Degen, United States

• How to explain it to energy engineers – a qualitative research about trustworthiness, understandability, and actionability
  Helmut Degen, Christof Budnik, Gregory Conte, Andrew Lintereur, Seth Weber, United States
  
• Gamifying the Human-in-the-Loop: Toward Increased Motivation for Training AI in Customer Service
  Christina Wiethof, Tim Roocks, Eva A.C. Bittner, Germany
  
• Promoting Human Competences by Appropriate Modes of Interaction for Human-Centered-AI
  Thomas Herrmann, Germany
  
• My Tutor is an AI: the Effects of Involvement and Tutor Type on Perceived Quality, Perceived Credibility, and Use Intention
  Mo Chen, Fanjue Liu, Yu-Hao Lee, United States
  
• Adoption and Perception of Artificial Intelligence Technologies by Children and Teens in Education
  Erin Li, Sean Li, Xiaojun Yuan, United States
  
• Measuring and Predicting Human Trust in Recommendations from an AI Teammate
  Nikolos Gurney, David V. Pynadath, Ning Wang, United States