Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/93394
Title: A.I. Nanny
Authors: Cassar, Stephen (2013)
Keywords: Web browsing
Artificial intelligence
Internet and children
Internet -- Security measures
Issue Date: 2013
Citation: Cassar, S. (2013). A.I. Nanny (Bachelor’s dissertation).
Abstract: Safe Internet browsing for minors is considered a common threat for parents. This project proposes a prototype tool as a fun alternative to constant supervision, a strict web filter, or an efficient firewall in order to ensure a safe and productive educational experience online. Instead of subtracting what the legal guardian of the child deems inappropriate, it makes sure the child comes in contact with material the parent decides is appropriate. The completed prototype software will act as a buffer between the vast Internet and the child's fragile, yet eager mind. It is intended for children between the ages of 5 to 11. The A.I. Nanny collaborates with the parents to make sure that while on the Internet the child learns, thinks and is intellectually challenged but at the same time still has fun in a safe environment. The research contained in this document seeks to show that although traditional filters are effective they are only part of the solution. The best way is to provide content to the child, keep them entertained and at the same time make sure they are learning something. A chapter also deals with the best way to design an interface for children based on their cognitive skills, visual abilities and manual dexterity when using input devices. The software was designed to keep a detailed profile of the user. Not only websites visited but also preferred subjects, time taken to answer academic questions, time spent idle, missed button clicks and based on this data, give suggestions to the parent on how to improve the child's experience. The software also has 4 modes of use - Homework mode, Simple, Medium and Full mode. Testing and evaluation was done by exposing the software to a sample of children (125) of the target age group. The results were then compared to previous research done on the subject to gauge what options, mini games and intellectual challenges are best suited to keep the child entertained and at the same time imparting them new valuable knowledge.
Description: B.Sc. IT (Hons)(Melit.)
URI: https://www.um.edu.mt/library/oar/handle/123456789/93394
Appears in Collections:Dissertations - FacICT - 2013

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