The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency
Author:
Affiliation:
1. Department of Informatics and Telematics Harokopio University of Athens Athens Greece
2. Department of Electrical Engineering Qatar University Doha Qatar
3. Institute of Artificial Intelligence De Montfort University Leicester UK
Funder
Qatar National Research Fund
Publisher
Wiley
Subject
Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22314
Reference37 articles.
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4. KlucknerPM WeissA SchrammelJ TscheligiM.Exploring persuasion in the home: Results of a long‐term study on energy consumption behavior. InProceedings of the 4th International Joint Conference on Ambient Intelligence. Dublin: Springer; 2013:150‐165.
5. PetkovP GoswamiS KöblerF KrcmarH.Personalised eco‐feedback as a design technique for motivating energy saving behaviour at home. InProceedings of the 7th Nordic Conference on Human‐Computer Interaction: Making Sense Through Design. Copenhagen: ACM; 2012:587‐596.
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