Computers learn to understand humans better by modelling them
Researchers from Aalto University, University of Birmingham and University of Oslo present results paving the way for computers to learn psychologically plausible models of individuals simply by observing them. In newly published conference article, the researchers showed that just by observing how long a user takes to click menu items, one can infer a model that reproduces similar behavior and accurately estimates some characteristics of that user’s visual system, such as fixation durations.
Despite significant breakthroughs in artificial intelligence, it has been notoriously hard for computers to understand why a user behaves the way she does. Cognitive models that describe individual capabilities, as well as goals, can much better explain and hence be able to predict individual behavior also in new circumstances. However, learning these models from the practically available indirect data has been out of reach.
“The benefit of our approach is that much smaller amount of data is needed than for ‘black box’ methods. Previous methods for performing this type of tuning have either required extensive manual labor, or a large amount of very accurate observation data, which has limited the applicability of these models until now”, Doctoral student Antti Kangasrääsiö from Aalto University explains.
The method is based on Approximate Bayesian Computation (ABC), which is a machine learning method that has been developed to infer very complex models from observations, with uses in climate sciences and epidemiology among others. It paves the way for automatic inference of complex models of human behavior from naturalistic observations. This could be useful in human-robot interaction, or in assessing individual capabilities automatically, for example detecting symptoms of cognitive decline.
“We will be able to infer a model of a person that also simulates how that person learns to act in totally new circumstances,” Professor of Machine Learning at Aalto University Samuel Kaski says.
“We’re excited about the prospects of this work in the field of intelligent user interfaces,” Antti Oulasvirta Professor of User Interfaces from Aalto University says.
“In the future, the computer will be able to understand humans in a somewhat similar manner as humans understand each other. It can then much better predict not only the benefits of a potential change but also its individual costs to an individual, a capability that adaptive interfaces have lacked”, he continues.
The Latest on: Computers learn by observing behavior
- Restoring Credibility Of Machine Learning Pipeline Output Through Blockchain Dataon November 27, 2020 at 6:34 pm
Challenges to the credibility of Machine Learning pipeline output. How the performance of such ML models are inherently compromised due to current practices. How such problems can be cured by using ...
- English Language Training Market Worth Observing Growth : McGraw-Hill Education, Kaplan, Pearson ELTon November 25, 2020 at 5:26 am
Stay up-to-date with English Language Training Market research offered by HTF MI. Check how key trends and emerging drivers are shaping this industry growth.
- As the waves crash around us, learn from one of the greatest riders on the planeton November 25, 2020 at 2:15 am
Listen to one of the greatest risk-takers on the planet, dragon slayer of 70-foot colossus swells, when he said that before you go into a wave, be damn sure you know what you’re about and are prepared ...
- Deep learning, facial recognition, and bears: Researchers take a high-tech approach to wildlife monitoringon November 24, 2020 at 10:52 am
The BearID Project is using deep learning to help automate time-intensive research processes amid climate change and shifting wildlife behaviors.
- Deep Learning Market Size, Definition, Development, News and significant Growth With Regional Trends By Forecast 2023on November 23, 2020 at 4:59 am
The MarketWatch News Department was not involved in the creation of this content. Nov 23, 2020 (AmericaNewsHour) -- The Deep Learning Market is estimated to record a significant growth throughout the ...
via Google News and Bing News