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Massachusetts Institute of Technology

Aesthetics of computation : unveiling the visual machine

Abstract

dc:description.abstract

This thesis presents a new paradigm for the design of visual programming languages, with the goal of making computation visible and, in turn, more accessible. The Visual Machine Model emphasizes the need for clear visual representations of both machines and materials, and the importance of continuity. Five dynamic visual programming languages were designed and implemented according to the specification of the Visual Machine Model. In addition to individual analysis, a comparative evaluation of all five design experiments is conducted with respect to several ease of use metrics and Visual Machine qualities. While formal user tests have not been conducted, preliminary results from general user experiences indicate that being able to see and interact with computation does enhance the programming process.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2001

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Schiffman, Jared (Jared Michael), 1976-
Advisor dc:contributor.advisor
  • John Maeda.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/31103
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/31103

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Schiffman, Jared (Jared Michael), 1976-. Aesthetics of computation : unveiling the visual machine. Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/31103