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Understanding the Role of Interactive Machine Learning in Movement Interaction Design
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Non-representational Interaction Design
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Evaluation of Interactive Machine Learning Systems
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Does Body Movement Engage You More in Digital Game Play? and Why?
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Continuous Realtime Gesture Following and Recognition
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Learning Backchannel Prediction Model from Parasocial Consensus Sampling: A Subjective Evaluation
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Improving Generalization with Active Learning
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Move to get moved: a search for methods, tools and knowledge to design for expressive and rich movement-based interaction
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IJCAI-83: International joint conference on artificial intelligence
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The Tacit Dimension
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Teachable robots: Understanding human teaching behavior to build more effective robot learners
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Evaluating system utility and conceptual fit using CASSM
inferredcites →https://doi.org/10.1016/j.ijhcs.2013.03.005openalex-snapshot
Customizing by doing for responsive video game characters
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Descartes' error. Emotion, reason and the human brain
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A sensorimotor account of vision and visual consciousness
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The Appropriation of Interactive Technologies: Some Lessons from Placeless Documents
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Towards a technique for articulating aesthetic experiences in design using Focusing and the Felt Sense
inferredcites →https://doi.org/10.1080/17458927.2018.1468690openalex-snapshot
Developing somatic sensibilities for practices of discernment in interaction design
inferredcites →https://doi.org/10.1098/rstb.2009.0138openalex-snapshot
Place illusion and plausibility can lead to realistic behaviour in immersive virtual environments
inferredcites →https://doi.org/10.1098/rstb.2009.0202openalex-snapshot
Affective loop experiences: designing for interactional embodiment
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The reflective practitioner: How professionals think in action
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The role of strategies in motor learning
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Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes
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inferredcites →https://doi.org/10.1145/1744161.1744163openalex-snapshot
Natural user interfaces are not natural
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Human model evaluation in interactive supervised learning
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Embodied cognition and the magical future of interaction design
inferredcites →https://doi.org/10.1145/2470654.2466461openalex-snapshot
The design space of body games
inferredcites →https://doi.org/10.1145/2493432.2493457openalex-snapshot
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inferredcites →https://doi.org/10.1145/2556288.2557163openalex-snapshot
Movement-based game guidelines
inferredcites →https://doi.org/10.1145/2678025.2701373openalex-snapshot
Applying the CASSM Framework to Improving End User Debugging of Interactive Machine Learning
inferredcites →https://doi.org/10.1145/2678025.2701399openalex-snapshot
Principles of Explanatory Debugging to Personalize Interactive Machine Learning
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Understanding Gesture Expressivity through Muscle Sensing
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Designing for and with People with Parkinson's
inferredcites →https://doi.org/10.1145/2702123.2702474openalex-snapshot
Using Interactive Machine Learning to Support Interface Development Through Workshops with Disabled People
inferredcites →https://doi.org/10.1145/2731182openalex-snapshot
Motion games in real sports environments
inferredcites →https://doi.org/10.1145/2738219openalex-snapshot
Interactive Visuals as Metaphors for Dance Movement Qualities
inferredcites →https://doi.org/10.1145/2783258.2788613openalex-snapshot
Intelligible Models for HealthCare
inferredcites →https://doi.org/10.1145/2790994.2790996openalex-snapshot
Embodied design of full bodied interaction with virtual humans
inferredcites →https://doi.org/10.1145/2793107.2793110openalex-snapshot
Utilizing Gravity in Movement-Based Games and Play
inferredcites →https://doi.org/10.1145/280765.280769openalex-snapshot
Real-time decision making in multimodal face-to-face communication
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Human-Centred Machine Learning
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Motivating Stroke Rehabilitation Through Music
inferredcites →https://doi.org/10.1145/2858036.2858583openalex-snapshot
Somaesthetic Appreciation Design
inferredcites →https://doi.org/10.1145/2948910.2948951openalex-snapshot
What is Movement Interaction in Virtual Reality for?
inferredcites →https://doi.org/10.1145/3025453.3025714openalex-snapshot
Designing for Kinesthetic Awareness
inferredcites →https://doi.org/10.1145/3173574.3173635openalex-snapshot
Reinterpreting Schlemmer's Triadic Ballet
inferredcites →https://doi.org/10.1145/632716.632790openalex-snapshot
Video brainstorming and prototyping
inferredcites →https://doi.org/10.1163/9789087901134_007openalex-snapshot
Phenomenology of Perception
inferredcites →https://doi.org/10.1207/s15324834basp0103_2openalex-snapshot
The Effects of Over Head Movements on Persuasion: Compatibility and Incompatibility of Responses
inferredcites →https://doi.org/10.1214/15-aoas848openalex-snapshot
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
inferredcites →https://doi.org/10.1609/aimag.v35i4.2513openalex-snapshot
Power to the People: The Role of Humans in Interactive Machine Learning
inferredcites →https://doi.org/10.3389/frobt.2014.00009openalex-snapshot
How to Build an Embodiment Lab: Achieving Body Representation Illusions in Virtual Reality
inferredcites →https://doi.org/10.3390/informatics5010008openalex-snapshot
Embracing First-Person Perspectives in Soma-Based Design
inferredcites →https://doi.org/10.48550/arxiv.0912.1128openalex-snapshot
How to Explain Individual Classification Decisions
inferredcites →https://doi.org/10.48550/arxiv.1707.06742openalex-snapshot
Machine Teaching: A New Paradigm for Building Machine Learning Systems
inferredcites →https://doi.org/10.5281/zenodo.1178489openalex-snapshot
Machine Learning Of Musical Gestures
inferredcites →https://doi.org/10.5281/zenodo.850029openalex-snapshot
A Hierarchical Approach For The Design Of Gesture-To-Sound Mappings
inferredcites →https://doi.org/10.5860/choice.39-0357openalex-snapshot
Your wish is my command: programming by example
inferredcites →https://doi.org/10.5860/choice.46-1409openalex-snapshot
Body consciousness: a philosophy of mindfulness and somaesthetics
inferredcites →https://doi.org/10.5860/choice.47-4947openalex-snapshot
The Oxford companion to consciousness
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Artificial Intelligence in Music and Performance: A Subjective Art-Research Inquiry
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Embodied and Sonic Interactions in Virtual Environments: Tactics and Exemplars
inferred← citeshttps://doi.org/10.1007/978-3-031-35596-7_4openalex-snapshot
User Clustering Visualization and Its Impact on Motion-Based Interaction Design
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From Technology to Strategy: Robotic Fabrication and Human Robot Collaboration for Increasing AEC Capacities
inferred← citeshttps://doi.org/10.1016/j.ijhcs.2021.102697openalex-snapshot
Interaction designers’ perceptions of using motion-based full-body features
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Exploring a user-centered approach for movement-based features in interaction design
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Human-Centered Machine Learning in the Arts and Humanities
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Machine Learning in Movement-Based Interaction for Performing Arts Applications
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Evaluation on interactive waiting experience design of mobile internet products based on machine learning
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MusicReco: Interactive Interface Modeling With User-Centered Design in a Music Recommendation System
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inferred← citeshttps://doi.org/10.1109/ici3c60830.2023.00041openalex-snapshot
Motion Decomposition and Guidance Technology in Dance Teaching Based on Motion Feedback System
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Interaction Design of Number Counting Operation Learning Media for Mildly Mentally Retarded Children
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Integrating Generative Artificial Intelligence to a Project-Based Tangible Interaction Course
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Prototyping by Moving for Virtual Reality
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Interactive Machine Learning for Movement Interaction in VR
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Evaluating movement qualities with visual feedback for real-time motion capture
inferred← citeshttps://doi.org/10.1145/3347122.3359604openalex-snapshot
A Study of Movement-Sound within Extended Reality
inferred← citeshttps://doi.org/10.1145/3401956.3404248openalex-snapshot
Designing Human-Object Performances using Theatre Practices and Machine Learning
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Movement interaction design for immersive media using interactive machine learning
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Dots — An Inclusive Natural User Interfaces (NUI) for Spatial Computing
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RL4HCI: Reinforcement Learning for Humans, Computers, and Interaction
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Designing Deep Reinforcement Learning for Human Parameter Exploration
inferred← citeshttps://doi.org/10.1145/3419249.3420069openalex-snapshot
Programming for Moving Bodies
inferred← citeshttps://doi.org/10.1145/3430524.3442703openalex-snapshot
Interactive Machine Learning for Embodied Interaction Design: A tool and methodology
inferred← citeshttps://doi.org/10.1145/3441000.3441055openalex-snapshot
Challenges facing movement research in the time of Covid-19: Issues in redesigning workshops for remote participation and data collection
inferred← citeshttps://doi.org/10.1145/3472749.3474734openalex-snapshot
Marcelle: Composing Interactive Machine Learning Workflows and Interfaces
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InteractML: Making machine learning accessible for creative practitioners working with movement interaction in immersive media
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Intercorporeal Biofeedback for Movement Learning
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Reimagining Machine Learning's Role in Assistive Technology by Co-Designing Exergames with Children Using a Participatory Machine Learning Design Probe
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Supporting entrainment using latent space mappings and generative sound feedback during dyadic movement exercises
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Interactive Machine Learning can recognise complex movements but does it make us happy?
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