Title

All Too Well

Abstract

All Too Well is a 2D animation graduate thesis film, with a length of 6 minutes and 49 seconds. The production phase went from September 2018 to January 2020.

A father who lost his son in a car accident recreates the family by bringing an artificial intelligence boy into the home to replace the lost son. Not only does their relationship fail to heal the father's broken heart, but it also often brings back painful memories of his real boy. This only makes him realize that the robot son cannot replace his real son. So, he turns the power off of the robot son and deeply grieves. The mother witnesses her husband’s actions, approaches him, and then turns his power off. Themes of loss and healing in the age of artificial intelligence and the use of robots to fill our need for love and normal relationships are central to this abstracted narrative.

The major software used during the entire production process include: Adobe Photoshop, Adobe After Effects, Adobe Premiere, TVPaint and MOHO. The original music is a score by KaMan Chang. The final output format is 1080HD.

This paper will retrace the making of All Too Well and share the personal experience during its creation.

Library of Congress Subject Headings

Computer animation--Themes, motives; Computer animation--Technique; Animated films--Themes, motives; Animation (Cinematography); Robots--Drama; Grief--Drama

Publication Date

7-2020

Document Type

Thesis

Student Type

Graduate

Degree Name

Film and Animation (MFA)

Department, Program, or Center

School of Film and Animation (CAD)

Advisor

Stephanie Maxwell

Advisor/Committee Member

Brian Larson

Advisor/Committee Member

Ambarien Alqadar

Campus

RIT – Main Campus

Plan Codes

FILMAN-MFA

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