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ORCID26th IUI 2021: College Station, TX, USA - Workshops
- Dorota Glowacka, Vinayak R. Krishnamurthy:
Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), College Station, United States, April 13-17, 2021. CEUR Workshop Proceedings 2903, CEUR-WS.org 2021
Workshop 1: Theoretical and Methodological Challenges in Intelligent Conversational User Interface Interactions - CUI@IUI
- Francesca Alloatti, Federica Cena, Luigi Di Caro, Roger Ferrod, Giovanni Siragusa:
Towards Mental Model-driven Conversations. - Florian Bemmann, Ramona Schödel, Niels van Berkel, Daniel Buschek:
Chatbots for Experience Sampling - Initial Opportunities and Challenges. - Anna Bleakley, Yunhan Wu, Ayushi Pandey, Justin Edwards:
"Hey Gūguru": Exploring Non-English Linguistic Barriers for WakeWord Use. - Clara Bove, Jonathan Aigrain, Marcin Detyniecki:
Building Trust in Artificial Conversational Agents. - Jonathan Harth, Alexandra Hofmann:
Mixed Reality Methods. Preliminary Considerations for Multimodal Analysis of Human-Agent Interactions. - Iris Hendrickx, Jelte van Waterschoot, Arif Khan, Louis ten Bosch, Catia Cucchiarini, Helmer Strik:
Take Back Control: User Privacy and Transparency Concerns in Personalized Conversational Agents. - Stephanie Mariko Sredojev, Simone Stumpf:
Voice Assistant Personalities for Health Information Seeking. - Jelte van Waterschoot, Iris Hendrickx, Arif Khan, Catia Cucchiarini, Helmer Strik, Louis ten Bosch, Rob Tieben:
Spoken Conversational Agents for Older Adults: Who Are the Stakeholders and What Do They Expect?
Workshop 2: Fourth Workshop on Exploratory Search and Interactive Data Analytics - ESIDA
- Bharat Kale, Maoyuan Sun, Michael E. Papka:
Direct Ordering: A Direct Manipulation Based Ordering Technique. - Quan Li, Huanbin Lin, Chun Feng Tang, Xiguang Wei, Zhenhui Peng, Xiaojuan Ma, Tianjian Chen:
Exploring the "Double-Edged Sword" Effect of Auto-Insight Recommendation in Exploratory Data Analysis. - Boxuan Ma, Min Lu, Yuta Taniguchi, Shin'ichi Konomi:
Exploration and Explanation: An Interactive Course Recommendation System for University Environments. - Behnam Rahdari, Peter Brusilovsky:
PaperExplorer: Personalized Exploratory Search for Conference Proceedings. - Julian Risch, Tim Repke, Lasse Kohlmeyer, Ralf Krestel:
ComEx: Comment Exploration on Online News Platforms.
Workshop 3: 2nd Workshop on Human-AI Co-Creation with Generative Models - HAI-GEN 2021
- Kenneth C. Arnold, April M. Volzer, Noah G. Madrid:
Generative Models can Help Writers without Writing for Them. - Daniel Buschek, Lukas Mecke, Florian Lehmann, Hai Dang:
Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems. - Michelle Carney, Chong Li, Edwin Toh
, Nida Zada, Ping Yu, Jesse H. Engel:
Tone Transfer: In-Browser Interactive Neural Audio Synthesis. - Doron Friedman, Dan Pollak:
Image Co-Creation by Non-Programmers and Generative Adversarial Networks. - Eyal Gruss:
avatars4all. - Yucheng Jin, Ge Gao, Tiffany Ong, Xi Su:
CreativeSVG: A Creativity Support Tool for Abstract Background Design with Generative Vector Graphics. - Jingoog Kim, Mary Lou Maher, Safat Siddiqui:
Studying the Impact of AI-based Inspiration on Human Ideation in a Co-Creative Design System. - Vivian Liu, Lydia B. Chilton:
Neurosymbolic Generation of 3D Animal Shapes through Semantic Controls. - Paolo Morettin, Andrea Passerini, Stefano Teso:
Co-creating Platformer Levels with Constrained Adversarial Networks. - Michael J. Muller, April Yi Wang, Steven I. Ross, Justin D. Weisz, Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, Fernando Martinez, John T. Richards, Jaimie Drozdal, Xuye Liu, David Piorkowski, Dakuo Wang:
How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks. - Laria Reynolds, Kyle McDonell:
Multiversal views on language models. - Jeba Rezwana, Mary Lou Maher, Nicholas Davis:
Creative PenPal: A Virtual Embodied Conversational AI Agent to Improve User Engagement and Collaborative Experience in Human-AI Co-Creative Design Ideation.
Workshop 4: Healthy Interfaces Workshop - HEALTHI
- Hannes Bend, Spruha K. Reddy, Yina Smith-Danenhower, Hoda Mahmoodzadegan, Nathalie Di Domenico, Kamran Hughes:
Adaptive interfaces for personalized digital wellbeing. - Arngeir Berge, Vegard Velle Sjøen, Alain Starke, Christoph Trattner:
Changing Salty Food Preferences with Visual and Textual Explanations in a Search Interface. - Jacob T. Biehl, Ravi Patel, Adam J. Lee:
Improving Medication Adherence Behaviors Through Personalized, Technology-Powered Interventions. - David Cleres, Frank Rassouli, Martin H. Brutsche, Tobias Kowatsch, Filipe Barata:
Lena: a Voice-Based Conversational Agent for Remote Patient Monitoring in Chronic Obstructive Pulmonary Disease. - Marios Constantinides, Sagar Joglekar, Daniele Quercia:
Retrofitting Meetings for Psychological Safety. - Mina Khan, Glenn Fernandes, Pattie Maes:
PAL: Privacy-preserving Audio, Visual, and Physiological Contexts for Wearable Context-aware Behavior Change Support. - Tobias Kowatsch, Chen-Hsuan Iris Shih, Yanick X. Lukic, Olivia C. Keller, Katrin Heldt, Dominique Durrer, Aikaterini Stasinaki, Dirk Büchter, Björn Brogle, Nathalie Farpour-Lambert, Dagmar L'Allemand-Jander:
A Playful Smartphone-based Self-regulation Training for the Prevention and Treatment of Child and Adolescent Obesity: Technical Feasibility and Perceptions of Young Patients. - Timothy I. Michaels, Sonali Singal, Emily Stone, Laura Braider, John Kane:
Digital Tools for the Treatment of Borderline Personality Disorder: A Critical Review of Smartphone Applications. - Vineet Pandey:
Beyond Data Tracking: A Proposal to Design Health Interfaces for Learning and Sharing. - Projna Paromita, Theodora Chaspari, Seyedhooman Sajjadi, Anurag Das, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna:
Personalized Meal Classification Using Continuous Glucose Monitors. - Alain D. Starke, Christoph Trattner:
Promoting Healthy Food Choices Online: A Case for Multi-List Recommender Systems. - Andrew L. Yin, Inna Wanyin Lin, Pargol Gheissari:
Building interfaces for self-assessment and feedback in the EMR.
Workshop 5: Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory - HUMANIZE'21 Fifth Edition)
- Christos Amyrotos, Panayiotis Andreou, Panagiotis Germanakos:
Adaptive Business Data Visualizations and Exploration: A Human-centred Perspective. - Luca Iandoli, Jia Shen:
Towards a Design Framework for Humanized AI. - Kai Lukoff:
Addressing Present Bias in Movie Recommender Systems and Beyond. - Martijn Millecamp, Cristina Conati, Katrien Verbert:
Classifeye: Classification of Personal Characteristics Based on Eye Tracking Data in a Recommender System Interface. - Dilruba Showkat:
Tinkering: A Way Towards Designing Transparent Algorithmic User Interfaces.
Workshop 6: SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces - SOCIALIZE
- Federico Concone, Roberto Giaconia, Giuseppe Lo Re, Marco Morana:
A Smart Assistant for Visual Recognition of Painted Scenes. - Giuseppe D'Aniello, Matteo Gaeta:
Cultural Situation Awareness in e-Learning Systems. - Berardina De Carolis, Francesca D'Errico, Nicola Macchiarulo, Giuseppe Palestra:
Socially Inclusive Robots: Learning Culture-Related Gestures by Playing with Pepper. - Alessio Ferrato, Carla Limongelli, Mauro Mezzini, Giuseppe Sansonetti:
Exploiting Micro Facial Expressions for More Inclusive User Interfaces. - Fabio Gasparetti, Giuseppe Sansonetti, Alessandro Micarelli:
Tourism Recommender Systems as a Vehicle for Social and Cultural Inclusion. - Cristina Gena, Claudio Mattutino, Stefania Brighenti, Andrea Meirone, Francesco Petriglia, Loredana Mazzotta, Federica Liscio, Matteo Nazzario, Valeria Ricci, Camilla Quarato, Cesare Pecone, Giuseppe Piccinni:
Sugar, Salt & Pepper - Humanoid robotics for autism. - Noemi Mauro, Liliana Ardissono, Stefano Cocomazzi, Federica Cena:
Information Extraction for Inclusive Recommender Systems. - Alan J. Wecker, Tsvi Kuflik, Paul Mulholland, Belén Díaz-Agudo, Thomas Anthony Pedersen:
Introducing empathy into recommender systems as a tool for promoting social cohesion.
Workshop 7: Transparency and Explanations in Smart Systems - TExSS
- Oznur Alkan, Massimiliano Mattetti, Sergio Cabrero Barros, Elizabeth M. Daly:
Making Business Partner Recommendation More Effective: Impacts of Combining Recommenders and Explanations through User Feedback. - Ariful Islam Anik, Andrea Bunt:
Investigating Explanations that Target Training Data. - Amid Ayobi, Katarzyna Stawarz, Dmitri S. Katz, Paul Marshall, Taku Yamagata, Raúl Santos-Rodríguez, Peter A. Flach, Aisling Ann O'Kane:
Machine Learning Explanations as Boundary Objects: How AI Researchers Explain and Non-Experts Perceive Machine Learning. - Clara Bove, Jonathan Aigrain, Marie-Jeanne Lesot, Charles Tijus, Marcin Detyniecki:
Contextualising local explanations for non-expert users: an XAI pricing interface for insurance. - Jonathan Dodge:
Position: Who Gets to Harness (X)AI? For Billion-Dollar Organizations Only. - Rachel Eardley, Ewan Soubutts, Amid Ayobi, Rachael Gooberman-Hill, Aisling Ann O'Kane:
Explaining complex machine learning platforms to members of the general public. - Juliana Jansen Ferreira, Mateus de Souza Monteiro:
The human-AI relationship in decision-making: AI explanation to support people on justifying their decisions. - Mouadh Guesmi, Mohamed Amine Chatti, Yiqi Sun, Shadi Zumor, Fangzheng Ji, Arham Muslim, Laura Vorgerd, Shoeb Ahmed Joarder:
Open, Scrutable and Explainable Interest Models for Transparent Recommendation. - Mohammad Hossein Jarrahi, Mohammad Haeri:
Developing a Symbiotic Workflow between Pathologists and AI through Parameterization and Implicitization. - Nahyun Kwon, Chen Liang, Jeeeun Kim:
3D4ALL: Toward an Inclusive Pipeline to Classify 3D Contents. - Retno Larasati, Anna De Liddo, Enrico Motta:
AI Healthcare System Interface: Explanation Design for Non-Expert User Trust. - Jakob Schöffer, Yvette Machowski, Niklas Kühl:
A Study on Fairness and Trust Perceptions in Automated Decision Making. - Simone Stumpf, Lorenzo Strappelli, Subeida Ahmed, Yuri Nakao, Aisha Naseer, Giulia Del Gamba, Daniele Regoli:
Design Methods for Artificial Intelligence Fairness and Transparency. - Joice Tang, Ning F. Ma, Dongwook Yoon:
Understanding How Customers Attribute Accountability in Food Delivery Breakdowns. - Chantale Tippett:
Smart move? A case study on the operationalization of transparency and explainability in an open source career transition algorithm. - Elizabeth Anne Watkins:
The Tension Between Information Justice and Security: Perceptions of Facial Recognition Targeting. - Zelun Tony Zhang, Heinrich Hußmann:
How to Manage Output Uncertainty: Targeting the Actual End User Problem in Interactions with AI.
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