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ORCIDACM Transactions on Interactive Intelligent Systems, Volume 13
Volume 13, Number 1, March 2023
- Xingjun Li
, Yizhi Zhang, Justin Leung, Chengnian Sun, Jian Zhao:
EDAssistant: Supporting Exploratory Data Analysis in Computational Notebooks with In Situ Code Search and Recommendation. 1:1-1:27 - Huimin Liu, Minsoo Choi, Dominic Kao, Christos Mousas:
Synthesizing Game Levels for Collaborative Gameplay in a Shared Virtual Environment. 2:1-2:36 - Dongning Yan, Li Chen:
The Influence of Personality Traits on User Interaction with Recommendation Interfaces. 3:1-3:39 - Yi-Ling Lin, Shao-Wei Lee:
A Personalized Interaction Mechanism Framework for Micro-moment Recommender Systems. 4:1-4:28 - Shehzad Afzal, Sohaib Ghani, Mohamad Mazen Hittawe, Sheikh Faisal Rashid, Omar M. Knio, Markus Hadwiger, Ibrahim Hoteit:
Visualization and Visual Analytics Approaches for Image and Video Datasets: A Survey. 5:1-5:41
Volume 13, Number 2, June 2023
- Diana C. Hernandez-Bocanegra, Jürgen Ziegler:
Explaining Recommendations through Conversations: Dialog Model and the Effects of Interface Type and Degree of Interactivity. 6:1-6:47 - Devleena Das, Yasutaka Nishimura, Rajan P. Vivek, Naoto Takeda, Sean T. Fish, Thomas Plötz, Sonia Chernova:
Explainable Activity Recognition for Smart Home Systems. 7:1-7:39 - David Rudrauf, Grégoire Sergeant-Perhtuis, Yvain Tisserand, Teerawat Monnor, Valentin Durand de Gevigney, Olivier Belli:
Combining the Projective Consciousness Model and Virtual Humans for Immersive Psychological Research: A Proof-of-concept Simulating a ToM Assessment. 8:1-8:31 - Mengtian Guo, Zhilan Zhou, David Gotz, Yue Wang:
GRAFS: Graphical Faceted Search System to Support Conceptual Understanding in Exploratory Search. 9:1-9:36 - Wolfgang Jentner, Giuliana Lindholz, Hanna Hauptmann, Mennatallah El-Assady, Kwan-Liu Ma, Daniel A. Keim:
Visual Analytics of Co-Occurrences to Discover Subspaces in Structured Data. 10:1-10:49
Volume 13, Number 3, September 2023
- Özge Nilay Yalçin, Sébastien Lallé, Cristina Conati:
The Impact of Intelligent Pedagogical Agents' Interventions on Student Behavior and Performance in Open-Ended Game Design Environments. 11:1-11:29 - Gary Ang, Ee-Peng Lim:
Learning and Understanding User Interface Semantics from Heterogeneous Networks with Multimodal and Positional Attributes. 12:1-12:31 - Javedul Ferdous, Hae Na Lee, Sampath Jayarathna, Vikas Ashok:
Enabling Efficient Web Data-Record Interaction for People with Visual Impairments via Proxy Interfaces. 13:1-13:27 - Carlos A. Aguirre, Shiye Cao, Amama Mahmood, Chien-Ming Huang:
Crowdsourcing Thumbnail Captions: Data Collection and Validation. 14:1-14:28 - Ryoichi Shibata, Shoya Matsumori, Yosuke Fukuchi, Tomoyuki Maekawa, Mitsuhiko Kimoto, Michita Imai:
Conversational Context-sensitive Ad Generation with a Few Core-Queries. 15:1-15:37 - Arthur Sluÿters, Sébastien Lambot, Jean Vanderdonckt, Radu-Daniel Vatavu:
RadarSense: Accurate Recognition of Mid-air Hand Gestures with Radar Sensing and Few Training Examples. 16:1-16:45 - Clarice Wang, Kathryn Wang, Andrew Bian, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Shimei Pan:
When Biased Humans Meet Debiased AI: A Case Study in College Major Recommendation. 17:1-17:28 - Ronnie Smith, Mauro Dragone:
Generalisable Dialogue-based Approach for Active Learning of Activities of Daily Living. 18:1-18:37
- Michelle Zhou, Shlomo Berkovsky:
2022 TiiS Best Paper Announcement. 19:1
Volume 13, Number 4, December 2023
- Yiran Li, Junpeng Wang, Takanori Fujiwara, Kwan-Liu Ma:
Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks. 20:1-20:26 - Cecilia Panigutti, Andrea Beretta, Daniele Fadda, Fosca Giannotti, Dino Pedreschi, Alan Perotti, Salvatore Rinzivillo:
Co-design of Human-centered, Explainable AI for Clinical Decision Support. 21:1-21:35 - Federico Maria Cau, Hanna Hauptmann, Lucio Davide Spano, Nava Tintarev:
Effects of AI and Logic-Style Explanations on Users' Decisions Under Different Levels of Uncertainty. 22:1-22:42 - Ronal Singh, Tim Miller, Henrietta Lyons, Liz Sonenberg, Eduardo Velloso, Frank Vetere, Piers Howe, Paul Dourish:
Directive Explanations for Actionable Explainability in Machine Learning Applications. 23:1-23:26 - Benjamin Charles Germain Lee, Doug Downey, Kyle Lo, Daniel S. Weld:
LIMEADE: From AI Explanations to Advice Taking. 24:1-24:29 - Tim Schrills, Thomas Franke:
How Do Users Experience Traceability of AI Systems? Examining Subjective Information Processing Awareness in Automated Insulin Delivery (AID) Systems. 25:1-25:34 - Heidi Vainio-Pekka, Mamia Ori-otse Agbese, Marianna Jantunen, Ville Vakkuri, Tommi Mikkonen, Rebekah Rousi, Pekka Abrahamsson:
The Role of Explainable AI in the Research Field of AI Ethics. 26:1-26:39 - Miguel Angel Meza Martínez, Mario Nadj, Moritz Langner, Peyman Toreini, Alexander Maedche:
Does this Explanation Help? Designing Local Model-agnostic Explanation Representations and an Experimental Evaluation Using Eye-tracking Technology. 27:1-27:47 - Marc-André Zöller, Waldemar Titov, Thomas Schlegel, Marco F. Huber:
XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning. 28:1-28:39 - Chiradeep Roy, Mahsan Nourani, Shivvrat Arya, Mahesh Shanbhag, Tahrima Rahman, Eric D. Ragan, Nicholas Ruozzi, Vibhav Gogate:
Explainable Activity Recognition in Videos using Deep Learning and Tractable Probabilistic Models. 29:1-29:32 - Retno Larasati, Anna De Liddo, Enrico Motta:
Meaningful Explanation Effect on User's Trust in an AI Medical System: Designing Explanations for Non-Expert Users. 30:1-30:39
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