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Matthew Brucker

dblp:319/3365 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Learning and educational technologies · 77% Games and playful interaction · 23%
Computer graphics and multimedia
1 paper
Audio and music processing · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Learning and educational technologies
computing education
0.612022
TunePad Playbooks: Designing Computational Notebooks for Creative Music Coding · CHI 2022
Games and playful interaction
creative expression
0.212022
TunePad Playbooks: Designing Computational Notebooks for Creative Music Coding · CHI 2022

Methods — techniques the papers use, named apart from their topics

artifact-centered interview · 1.1
YearPublicationVenuePosition
2022 TunePad Playbooks: Designing Computational Notebooks for Creative Music Coding
abstract
This paper describes the design of an online learning platform that empowers musical creation and performance with Python code. For this platform we have developed an innovative computational notebook paradigm that we call TunePad playbooks. While playbooks borrow ideas from popular computational notebooks like Jupyter, we have designed them from the ground up to support creative musical expression including live performances. After discussing our design principles and features, we share findings from a series of artifact-centered interviews conducted with experienced TunePad users. Our results show how systems like ours might flexibly support a variety of creative workflows, while suggesting opportunities for future work in this area.
Michael S. Horn, Amartya Banerjee, Matthew Brucker
CHI3