Artificial Intelligence for the Social Good
| LADYBIRD: The Animal-Friendly Robot Vacuum Cleaner | |
| Oliver Bendel |
| Towards Kant Machines | |
| Oliver Bendel, Kevin Schwegler, Bradley Richards |
| In Search of Health Doubles | |
| Malay Bhattacharyya |
| Smart City Planning with Constrained Crowd Judgment Analysis | |
| Sujoy Chatterjee, Anirban Mukhopadhyay, Malay Bhattacharyya |
| Wandering Detection Within an Embedded System for Alzheimer Suffering Patients | |
| Arnaud Delaunay, Jean Guérin |
| Societal Challenges Need Social Agents | |
| Virginia Dignum, Frank Dignum |
| Animal Population Censusing at Scale with Citizen Science and Photographic Identification | |
| Jason Remington Parham, Jonathan Crall, Charles Stewart, Tanya Berger-Wolf, Daniel Rubenstein |
| Understanding Social Media's Take on Climate Change through Large-Scale Analysis of Targeted Opinions and Emotions | |
| Neetu Pathak, Michael J Henry, Svitlana Volkova |
| Machine Representation of Data Analyses: Towards a Platform for Collaborative Data Science | |
| Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney |
| Back to the Future: A Framework for Modelling Altruistic Intelligence Explosions | |
| Mahendra Prasad |
| Identifying Sources of Discrimination Risk in the Life Cycle of Machine Intelligence Applications under New European Union Regulations | |
| Syed Ali Asad Rizvi, Elmarie van Heerden, Arnold Salas, Favour Nyikosa, Stephen J. Roberts, Michael A. Osborne, Elmer Rodriguez |
| Knowledge-Based Provisioning of Goods and Services: Towards a Virtual Social Needs Marketplace | |
| Daniela Rosu, Dionne M. Aleman, J. Christopher Beck, Mark Chignell, Mariano Consens, Mark S. Fox, Michael Gruninger, Chang Liu, Yi Ru, Scott Sanner |
| Teaching and Checking of Constraints for Surgical Tray Layout | |
| Lanbo She, Jonathan Connell |
| Modeling the Evolution of Climate Change Assessment Research Using Dynamic Topic Models and Cross-Domain Divergence Maps | |
| Jennifer Sleeman, Milton Halem, Tim Finin, Mark Cane |
| The AI Community and the United Nations: A Missing Global Conversation & A Closer Look at Social Good | |
| Karen Judd Smith |
| Statistical Analysis of Peer Detailing for Children’s Diarrhea Treatments | |
| Yumeng Tao, Debarun Bhattacharjya, Aliza R. Heching, Aditya Vempaty, Moninder Singh, Felix Lam, Kush R. Varshney, Aleksandra Mojsilović |
Computational Construction Grammar and Natural Language Understanding
| Broad Coverage, Domain-Generic Deep Semantic Parsing | |
| James F. Allen, Choh Man Teng |
| Can We Already Conceive of a Computational Construction Grammar that is Adequate to Address the Data of Neurolinguistics? | |
| Michael A. Arbib, Nancy Chang, Peter Dominey, Victor Barres, Michael Spranger |
| Frame-Based Knowledge Representation Using Large Specialized Corpora | |
| Daphnée Azoulay |
| Metaphor Shifts in Constructions: The Russian Metaphor Corpus | |
| Yulia Badryzlova, Olga Lyashevskaya |
| Modeling the Partial Productivity of Constructions | |
| Libby Barak, Adele Goldberg |
| Template Construction Grammar: A Schema-Theoretic Computational Construction Grammar | |
| Victor J. Barres |
| Constructions, Frames and Event Structure | |
| William Croft, Meagan Vigus |
| Grammar Scaling: Leveraging FrameNet Data to Increase Embodied Construction Grammar Coverage | |
| Ellen Kirsten Dodge, Sean Trott, Luca Gilardi, Elise Stickles |
| Dynamic Construction Grammar and Steps Towards the Narrative Construction of Meaning | |
| Peter Ford Dominey, Anne-Laure Mealier, Gregoire Pointeau, Solene Mirliaz, Mark Finlayson |
| Processing Natural Language About Ongoing Actions in ECG | |
| Steve Doubleday, Sean Trott, Jerome Feldman |
| Construction Detection in a Conventional NLP Pipeline | |
| Jesse Dunietz, Lori Levin, Miriam R. L. Petruck |
| A Construction-Grammar Approach to Computationally Solving the Winograd Schema: Implementation and Evaluation | |
| Denis Kiselev |
| The Brazilian Portuguese Constructicon: Modeling Constructional Inheritance, Frame Evocation and Constraints in FrameNet Brasil | |
| Adrieli Laviola, Ludmila Lage, Natália Marção, Tatiane Tavares, Vânia Almeida, Ely Matos, Tiago Torrent |
| Modelling the Meaning of Argument Constructions with Distributional Semantics | |
| Gianluca E. Lebani, Alessandro Lenci |
| Tree-Adjoining Grammar: A Tree-Based Constructionist Grammar Framework for Natural Language Understanding | |
| Timm Lichte, Laura Kallmeyer |
| Cognitive Modeling Approaches to Language Comprehension Using Construction Grammar | |
| Peter Lindes, John E. Laird |
| Constructional Analysis Using Constrained Spreading Activation in a FrameNet-Based Structured Connectionist Model | |
| Ely Matos, Tiago Torrent, Vânia Almeida, Adrieli Laviola, Ludmila Lage, Natália Marção, Tatiane Tavares |
| A Proposal for Incorporating Analogically Learned Constructions in a Feature Based Parsing Framework | |
| Clifton James McFate, Kenneth Forbus |
| Semantically-Driven Coreference Resolution with Embodied Construction Grammar | |
| Vivek Raghuram, Sean Trott, Kelly Shen, Ethan Goldberg, Sidney Oderberg |
| Usage-Based Grounded Construction Learning — A Computational Model | |
| Michael Spranger |
| Requirements for Computational Construction Grammars | |
| Luc L. Steels |
| Meta-Layer Problem Solving for Computational Construction Grammar | |
| Paul Van Eecke, Katrien Beuls |
| A Computational Construction Grammar for English | |
| Remi van Trijp |
| Towards a Constructicon for German | |
| Alexander Ziem, Hans C. Boas |
Computational Context: Why It's Important, What It Means, and Can It Be Computed?
| Context Classification Using Entropy and Weak Negation: Some Criteria for Good Computational Properties | |
| Olivier Bartheye, Laurent Chaudron |
| Framework for Multi-Human Multi-Robot Interaction: Impact of Operational Context and Team Configuration on Interaction Task Demands | |
| R. Dirk Beer, Cory A. Rieth, Randy Tran, Maia B. Cook |
| The Moving Lens: Coherence Across Heterogeneous Contexts in Narrative and Biology | |
| Beth Cardier |
| Context in Communication | |
| Paul Cohen |
| Computational Context as Cognitive Priming | |
| Laura Hiatt |
| (Computational) Context. Why It's Important, What It Means, Can It Be Computed? | |
| William Frere Lawless, Ranjeev Mittu, Don Sofge |
| Combing Context and Commonsense Knowledge Through Neural Networks for Solving Winograd Schema Problems | |
| Quan Liu, Hui Jiang, Zhen-Hua Ling, Xiaodan Zhu, Si Wei, Yu Hu |
| Heterogeneous Hidden Markov Models for Context Modeling Through Eye Gaze Observations | |
| Pujitha Mannaru, Balakumar Balasingam, Krishna Pattipati, Ciara Sibley, Joseph Coyne |
| Machine Learning Approach for Task Generation in Uncertain Environments | |
| Luke Marsh, Iryna Dzieciuch, Douglas Lange |
| Context-Driven Proactive Decision Support: Challenges and Applications | |
| Manisha Mishra, David Sidoti, Gopi Vinod Avvari, Pujitha Mannaru, Diego Fernando Martinez Ayala, Krishna R Pattipati |
| Context Driven Decision Making in ONR’s Command Decision Making Program (CDM) | |
| Jeffrey G. Morrison |
| Contextual Knowledge for Language-Endowed Intelligent Agents | |
| Sergei Nirenburg, Marjorie J. McShane |
| Challenges with Incorporating Context into Human-Robot Teaming | |
| Kristin E. Schaefer, Jessie Y. C. Chen, Julia Wright, Derya Aksaray, Nicholas Roy |
| Network Perspectives on Privacy and Security in the Internet of Things: From Actor-Network Theory to Social Network Analysis | |
| Yotam Shmargad |
| Responsible Recommendations for Irrational People | |
| Ciara Sibley |
| Inferring Context Through Scene Understanding | |
| Michael Walton, Doug Lange, Song-Chun Zhu |
| Cognitively-Inspired Computational Context | |
| Wayne Zachary, Taylor J. Carpenter |
Designing the User Experience of Machine Learning Systems
| Interactive Machine Learning for End-User Innovation | |
| Francisco Bernardo, Michael Zbyszynski, Rebecca Fiebrink, Mick Grierson |
| When User Experience Designers Partner with Data Scientists | |
| Fabien Girardin, Neal Lathia |
| Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications | |
| Chieh-Yang Huang, Ting-Hao Kenneth Huang, Lun-Wei Ku |
| An Experimentation Engine for Data-Driven Fashion Systems | |
| Ranjitha Kumar, Kristen Vaccaro |
| A Portable Navigation System with an Adaptive Multimodal Interface for the Blind | |
| Jacobus Cornelius Lock, Grzegorz Cielniak, Nicola Bellotto |
| Communicating Machine Learned Choices to E-Commerce Users | |
| Narayanan Seshadri, Gyanit Singh, Justin House, Mukesh Nathan, Nish Parikh |
| The Role of Design in Creating Machine-Learning-Enhanced User Experience | |
| Qian Yang |
| Not-so-Autonomous, Very Human Decisions in Machine Learning: Questions When Designing for ML | |
| Henriette Cramer, Jenn Thom |
| Design implications for Designing with a Collaborative AI | |
| Janin Koch |
| DJ Bot: Needfinding Machines for Improved Music Recommendations | |
| Nikolas Martelaro, Wendy Ju |
| Exploring Synergies between Visual Analytical Flow and Language Pragmatics | |
| Vidya Setlur, Melanie Tory |
| Dice in the Black Box: User Experiences with an Inscrutable Algorithm | |
| Aaron Springer, Victoria Hollis, Steve Whittaker |
| Reimagining the Goals and Methods of UX for ML/AI | |
| Philip van Allen |
| How Anticipatory Design Will Challenge Our Relationship with Technology | |
| Joël van Bodegraven |
| Privacy by Design in Machine Learning Data Collection: A User Experience Experimentation | |
| Jonathan Vitale, Meg Tonkin, Suman Ojha, Mary-Anne Williams, Xun Wang, William Judge |
Interactive Multisensory Object Perception for Embodied Agents
| Learning of Object Properties, Spatial Relations, and Actions for Embodied Agents from Language and Vision | |
| Muhannad Alomari, Paul Duckworth, David C. Hogg, Anthony G. Cohn |
| How Much Haptic Surface Data Is Enough? | |
| Alex Burka, Katherine J. Kuchenbecker |
| Regrasping Using Tactile Perception and Supervised Policy Learning | |
| Yevgen Chebotar, Karol Hausman, Oliver Kroemer, Gaurav Sukhatme, Stefan Schaal |
| Merging Local and Global 3D Perception using Contact Sensing | |
| Rebecca Cox, Nikolaus Correll |
| Summary of Experiments in Belief-Space Planning at the Laboratory for Perceptual Robotics | |
| Scott Michael Jordan, Dirk Ruiken, Tiffany Q. Liu, Takeshi Takahashi, Michael W. Lanighan, Roderic A. Grupen |
| Visual Stability Prediction and Its Application to Manipulation | |
| Wenbin Li, Ales Leonardis, Mario Fritz |
| Building Kinematic and Dynamic Models of Articulated Objects with Multi-Modal Interactive Perception | |
| Roberto Martín-Martín, Oliver Brock |
| Reinforcement Learning Based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception | |
| Kory Wallace Mathewson, Patrick M. Pilarski |
| A Deep Neural Model for Emotion-Driven Multimodal Attention | |
| German Ignacio Parisi, Pablo Barros, Haiyan Wu, Guochun Yang, Zhenghan Li, Xun Liu, Stefan Wermter |
Learning from Observation of Humans
| Combining a Mixture of Experts with Transfer Learning in Complex Games | |
| Mihai Sorin Dobre, Alex Lascarides |
| Using Deep Learning to Automate Feature Modeling in Learning by Observation: A Preliminary Study | |
| Michael W. Floyd, J. T. Turner, David W. Aha |
| Towards a Framework for Testing Learning from Observation of State-Based Agents | |
| Amrik Sacha Elapata Gunaratne, Babak Esfandiari, Caleb Chan |
| Learning to Predict Driver Behavior from Observation | |
| Santiago Ontanon, Yi-Ching Lee, Sam Snodgrass, Flaura K. Winston, Avelino J. Gonzalez |
| Policies for Active Learning from Demonstration | |
| Brandon Packard, Santiago Ontanon |
| Neural Networks in Autonomous Driving | |
| Cristina Tîrnăucă, José Luis Montaña, Zoraida Mediavilla |
Science of Intelligence: Computational Principles of Natural and Artificial Intelligence
| A Model for Interpreting Social Interactions in Local Image Regions | |
| Guy Ben-Yosef, Alon Yachin, Shimon Ullman |
| Markov Transitions between Attractor States in a Recurrent Neural Network | |
| Jeremy Bernstein, Ishita Dasgupta, David Rolnick, Haim Sompolinsky |
| Modeling the Resituation of Memory in Neurobiology and Narrative | |
| Beth Cardier, Larry D. Sanford, Harold T. Goranson, Patric S. Lundberg, Richard P Ciavarra, Keith Devlin, Niccolo Cassas, Alessio Erioli |
| Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision | |
| Francis X. Chen, Gemma Roig, Leyla Isik, Xavier Boix, Tomaso Poggio |
| Multiple Plasticity Mechanisms Enhance Associative Memory Retrieval in a Spiking Network Model of the Hippocampus | |
| Yansong Chua, Cheston Tan |
| On Active Video Summarization: Customized Summaries via On-Line Interaction with the User | |
| Ana Garcia del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan |
| Getting Up to Speed on Vehicle Intelligence | |
| Leilani Henrina Gilpin, Ben Ze Yuan |
| Is the Human Visual System Invariant to Translation and Scale? | |
| Yena Han, Gemma Roig, Gad Geiger, Tomaso Poggio |
| Principles of Noology: A Theory and Science of Intelligence for Natural and Artificial Intelligence | |
| Seng-Beng Ho |
| Unsupervised Learning via Maximizing Mutual Information in Neural Population Coding | |
| Wentao Huang, Kai Liu |
| Content-Dependent Fusion: Combining Human MEG and FMRI Data to Reveal Spatiotemporal Dynamics of Animacy and Real-world Object Size | |
| Seyed-Mahdi Khaligh-Razavi, Radoslaw M. Cichy, Dimitrios Pantazis, Aude Oliva |
| Sparse Representation Learning Approach Resolves Deep Sources Underlying MEG and EEG Data | |
| Pavitra Krishnaswamy, Gabriel Obregon-Henao, Sheraz Khan, Behtash Babadi, Eugenio Iglesias, Matti S. Hamalainen, Patrick L. Purdon |
| Feynman Machine: A Novel Neural Architecture for Cortical and Machine Intelligence | |
| Eric Laukien, Richard Crowder, Fergal Byrne |
| Integrating Human Input for Decision Making with Informative Bayesian Beliefs | |
| Robert Lew, Hongsheng Wu, Chen-Hsiang Yu |
| Active Interpretation of Visual Situations | |
| Melanie Mitchell |
| Group Invariant Deep Representations for Image Instance Retrieval | |
| Olivier Morere, Antoine Veillard, Lin Jie, Julie Petta, Vijay Chandrasekhar, Tomaso Poggio |
| Lifelong Learning of Action Representations with Deep Neural Self-Organization | |
| German Ignacio Parisi, Stefan Wermter |
| New Approaches for Studying Cortical Representations | |
| Dimitris A. Pinotsis, Earl K. Miller |
| Analysis of Human Attentions for Face Recognition on Natural Videos and Comparison with CV Algorithm on Performance | |
| Mona Ragab Sayed, Rosary Yuting Lim, Bappaditya Mandal, Liyuan Li, Joo Hwee Lim, Terence Sim |
| Types of Cognition and Its Implications for Future High-Level Cognitive Machines | |
| Camilo A. Miguel Signorelli |
| Representation Learning from Orbit Sets for One-Shot Classification | |
| Andrea Tacchetti, Stephen Voinea, Georgios Evangelopoulos, Tomaso Poggio |
| Mental Representations as Distribution-Sensitive Data Structures | |
| Zenna Tavares, Armando Solar Lezama |
| Scale Invariant Value Computation for Reinforcement Learning in Continuous Time | |
| Zoran Tiganj, Karthik H. Shankar, Marc W. Howard |
| Human Learning in Atari | |
| Pedro A. Tsividis, Thomas Pouncy, Jaqueline L. Xu, Joshua B. Tenenbaum, Samuel J. Gershman |
| Computational Vision for Social Intelligence | |
| Alessia Vignolo, Alessandra Sciutti, Francesco Rea, Nicoletta Noceti, Francesca Odone, Giulio Sandini |
| Predicting When Eye Fixations Are Consistent | |
| Anna Volokitin, Michael Gygli, Xavier Boix |
Wellbeing AI: From Machine Learning to Subjectivity Oriented Computing
| ENRICHME Integration of Ambient Intelligence and Robotics for AAL | |
| Nicola Bellotto, Manuel Fernandez-Carmona, Serhan Cosar |
| Improving Accuracy of Real-Time Sleep Stage Estimation by Considering Personal Sleep Feature and Rapid Change of Sleep Behavior | |
| Tomohiro Harada, Takahiro Kawashima, Morito Morishima, Keiki Takadama |
| Research and Development Trend Analysis of Wellbeing AI Using Panoramic View Analytics | |
| Takayoshi Hayashi |
| Brain Functional State Analysis of Mindfulness Using Graph Theory and Functional Connectivity | |
| Tomoyuki Hiroyasu, Satoru Hiwa |
| Visual Impression Generation System Based on Boids Algorithm | |
| Masafumi Ishii, Jinhwan Kwon, Keiki Takadama, Maki Sakamoto |
| The Robot Facilitating Conversation by Revoicing Keywords Learning from Active Conversations among Healthy Old Sisters | |
| Tabito Kurosaka, Mihoko Otake |
| The Role of Body Motion Synchrony in Distance Education | |
| Jinhwan Kwon, Xiaoqian Fang, Yoshihiro Miyake |
| Sensor-Based Detection of Invisible Changes in Activities towards Visualizing Disuse Syndrome | |
| Shuya Masuda, Masayuki Numao |
| How Do Huge M&As Affect Our Health? | |
| Tatsuo Nakamura |
| Depression Detection and Analysis | |
| Shweta Oak |
| Interactive Robotic System Assisting Image Based Dialogue for the Purpose of Cognitive Training of Older Adults | |
| Hikaru Otaki, Mihoko Otake |
| Adaptive Motion Gaming AI for Health Promotion | |
| Pujana Paliyawan, Takahiro Kusano, Yuto Nakagawa, Tomohiro Harada, Ruck Thawonmas |
| Loneliness in a Connected World: Analyzing Online Activity and Expressions on Real Life Relationships of Lonely Users | |
| Camille Ruiz, Kaoru Ito, Shoko Wakamiya, Eiji Aramaki |
| Sleep Stage Estimation Based on Appriximate Heartrate Calculated from Other Persons | |
| Yusuke Tajima, Tomohiro Harada, Keiki Takadama |
| Towards Guideline for Applying Machine Learning into Care Support Systems | |
| Keiki Takadama |
| Mutual Awareness beyond Mutual Acceptance by Sharing Information through Indirect Biofeedback | |
| Madoka Takahara, Fangwei Huang, Ivan Tanev, Katsunori Shimohara |
| Wellbeing AI Invited Speaker Abstracts | |
| Takashi Kido, Keiki Takadama |