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 |