Analysis of the User Experience with a Multiperspective Tool for Explainable Machine Learning in Light of Interactive Principles
Abstract
References
Index Terms
- Analysis of the User Experience with a Multiperspective Tool for Explainable Machine Learning in Light of Interactive Principles
Recommendations
A Review of User Interface Design for Interactive Machine Learning
Special Issue on Human-Centered Machine LearningInteractive Machine Learning (IML) seeks to complement human perception and intelligence by tightly integrating these strengths with the computational power and speed of computers. The interactive process is designed to involve input from the user but ...
Emerging principles in machine learning
ISMIS '86: Proceedings of the ACM SIGART international symposium on Methodologies for intelligent systemsMachine learning, a field concerned with developing computational theories of learning and constructing learning machines, is now one of the most active research areas in artificial intelligence. An inference-based theory of learning will be presented ...
IUI workshop on interactive machine learning
IUI '13 Companion: Proceedings of the companion publication of the 2013 international conference on Intelligent user interfaces companionMany applications of Machine Learning (ML) involve interactions with humans. Humans may provide input to a learning algorithm (in the form of labels, demonstrations, corrections, rankings or evaluations) while observing its outputs (in the form of ...
Comments
Information & Contributors
Information
Published In

- General Chairs:
- Ingrid Teixeira Monteiro,
- Kamila Rios da Hora Rodrigues,
- Ticianne de Gois Ribeiro Darin,
- Program Chairs:
- André Pimenta Freire,
- Marcelle Pereira Mota
In-Cooperation
- SBC: Brazilian Computer Society
- SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 174Total Downloads
- Downloads (Last 12 months)21
- Downloads (Last 6 weeks)3
Other Metrics
Citations
Cited By
View allView Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in