Does Personalization Help? Predicting How Social Situations Affect Personal Values

نویسندگان

چکیده

Personal values represent what people find important in their lives, and are key drivers of human behavior. For this reason, support agents should provide help that is aligned with the personal users. To do this, agent not only know value preferences user, but also how different situations user’s life affect these values. We using psychological characteristics, we build predictive models given characteristics a situation, predict whether situation promotes, demotes or does value. In work, focus on predictions for ‘enjoyment life’, use machine learning classifiers, all them performing better than chance when training data from multiple people. The best model multi-layer perceptron classifier, which achieves an accuracy 72%. Further, hypothesize such would drop tested individual sets. supports our hypothesis, drops by at least 11% data. tackle propose active procedure to personalized prediction having user loop. Results show approach outperforms previously built while 30% Our findings suggest can have subjective interpretations, account those interpretations involving building model.

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ژورنال

عنوان ژورنال: Frontiers in artificial intelligence and applications

سال: 2022

ISSN: ['1879-8314', '0922-6389']

DOI: https://doi.org/10.3233/faia220196