Dynamic Personalization of Multimedia Content Based on User Model
Authors: 
Massimo Donini, 
Cristina Gena, Alessandro Mazzei, Irene Borgini, Matteo NazzarioAuthors Info & Claims
Massimo Donini, Cristina Gena, Alessandro Mazzei, Irene Borgini, Matteo NazzarioAuthors Info & ClaimsPages 211 - 214
Abstract
This project investigates the potential of personalized interactions with social robots, like Pepper, by customizing images and videos to align with individual user profiles. The primary goal is to make conversations with social robots more engaging and relatable. By tailoring content to factors such as age, gender, interests, and cultural background, we aim to enhance user satisfaction and foster broader acceptance of social robots in everyday settings. This study opens up new possibilities for designing robots that can adapt to diverse user needs and preferences. Ultimately, this approach could lead to social robots that are more widely accepted and valued in a range of contexts, from customer service to education to healthcare. This project provides a path for future research in context-aware robot communication.
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Published In
June 2024
662 pages
ISBN:9798400704666
DOI:10.1145/3631700
- General Chairs:
- Ludovico Boratto,
- Cristina Gena,
- Mirko Marras,
- Program Chairs:
- Panagiotis Germanakos,
- Elvira Popescus
Copyright © 2024 Owner/Author.
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Association for Computing Machinery
New York, NY, United States
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Published: 28 June 2024
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UMAP '24: 32nd ACM Conference on User Modeling, Adaptation and Personalization
July 1 - 4, 2024
Cagliari, Italy
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