Microsoft technology licensing, llc (20240298946). PHYSIOLOGICAL FEEDBACK FOR PREDICTIVE MODELS simplified abstract
Contents
PHYSIOLOGICAL FEEDBACK FOR PREDICTIVE MODELS
Organization Name
microsoft technology licensing, llc
Inventor(s)
Nemanja Djuric of Belgrade (RS)
Ivan J. Tashev of Kirkland WA (US)
Raymond Michael Winters of Seattle WA (US)
Hannes Gamper of Seattle WA (US)
Dimitra Emmanouilidou of Woodinville WA (US)
PHYSIOLOGICAL FEEDBACK FOR PREDICTIVE MODELS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240298946 titled 'PHYSIOLOGICAL FEEDBACK FOR PREDICTIVE MODELS
The document discusses using biosignals to assess predictions made by predictive models. For instance, user attention can be determined from signals like gaze. When a user focuses on a prediction output, a user reaction signal such as an electroencephalogram or pupillary diameter measurement can be analyzed to detect if the user perceives an error. If an error is detected, an error indication can be generated. These error indications can then be utilized to evaluate, adjust, or train the predictive model.
- User attention can be inferred from biosignals like gaze.
- User reaction signals such as EEG or pupillary diameter can be used to detect error perception.
- Error indications can be generated to evaluate and improve predictive models.
- Potential Applications:**
This technology can be applied in various fields such as user experience testing, human-computer interaction research, and predictive modeling development.
- Problems Solved:**
This technology addresses the need for real-time feedback on predictive model accuracy and user perception of predictions.
- Benefits:**
The technology allows for the enhancement of predictive models based on user feedback, leading to more accurate and user-friendly predictions.
- Commercial Applications:**
Potential commercial uses include improving recommendation systems, enhancing user interfaces, and optimizing predictive analytics in various industries.
- Questions about the Technology:**
1. How can biosignals be effectively utilized to evaluate predictive models? 2. What are the potential challenges in implementing this technology in real-world applications?
- Frequently Updated Research:**
Researchers are continuously exploring new ways to enhance predictive modeling through the analysis of user feedback and biosignals.
Original Abstract Submitted
this document relates to employing biosignals to evaluate predictions made by predictive models. for example, user attention can be inferred from a user attention signal such as gaze. when the user directs attention to a prediction output by a given predictive model, a user reaction signal such as an electroencephalogram or pupillary diameter measurement can be processed to determine whether the user perceives an error. if the user perceives an error, an error indication can be output. error indications can be used to evaluate the predictive model, replace predictions generated by the predictive model, train the predictive model, etc.
