Daniel Manesh: Supporting Code Performances

For my dissertation, I am interested in what I call code performances, where a performer (broadly construed) writes, modifies, and runs code live for an audience. While code is often presented as a static, pre-written artifact, watching code being written live allows the audience to observe the evolution of the code over time, gaining insight into the performer’s thought process. My work focuses on three practices which can be considered code performances:

Authors

Institutions

Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/vl/hcc60511.2024.00060
Primary Topic
Cinema and Media Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Daniel Manesh: Supporting Code Performances

Daniel Manesh
1 links
Cinema and Media Studies
article

Daniel Manesh: Supporting Code Performances

Daniel Manesh
article en

Abstract

For my dissertation, I am interested in what I call code performances, where a performer (broadly construed) writes, modifies, and runs code live for an audience. While code is often presented as a static, pre-written artifact, watching code being written live allows the audience to observe the evolution of the code over time, gaining insight into the performer’s thought process. My work focuses on three practices which can be considered code performances:

Vol. 18
Virginia Tech (US)
Gender equality
Openalex Percentile: Top 78%
Cinema and Media Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Daniel Manesh: Supporting Code Performances — Daniel Manesh · (2024) | TGRS Research Map | TGRS