Creative Applications

会議の名前
CHI 2023
Lyric App Framework: A Web-based Framework for Developing Interactive Lyric-driven Musical Applications
要旨

Lyric videos have become a popular medium to convey lyrical content to listeners, but they present the same content whenever they are played and cannot adapt to listeners' preferences. Lyric apps, as we name them, are a new form of lyric-driven visual art that can render different lyrical content depending on user interaction and address the limitations of static media. To open up this novel design space for programmers and musicians, we present Lyric App Framework, a web-based framework for building interactive graphical applications that play musical pieces and show lyrics synchronized with playback. We designed the framework to provide a streamlined development experience for building production-ready lyric apps with creative coding libraries of choice. We held programming contests twice and collected 52 examples of lyric apps, enabling us to reveal eight representative categories, confirm the framework's effectiveness, and report lessons learned.

受賞
Honorable Mention
著者
Jun Kato
National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan
Masataka Goto
National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan
論文URL

https://doi.org/10.1145/3544548.3580931

動画
Understanding Version Control as Material Interaction with Quickpose
要旨

Whether a programmer with code or a potter with clay, practitioners engage in an ongoing process of working and reasoning with materials. Existing discussions in HCI have provided rich accounts of these practices and processes, which we synthesize into three themes: (1) reciprocal discovery of goals and materials, (2) local knowledge of materials, and (3) annotation for holistic interpretation. We then apply these design principles generatively to the domain of version control to present Quickpose: a version control system for creative coding. In an in-situ, longitudinal study of Quickpose guided by our themes, we collected usage data, version history, and interviews. Our study explored our participants’ material interaction behaviors and the initial promise of our proposed measures for recognizing these behaviors. Quickpose is an exploration of version control as material interaction, using existing discussions to inform domain-specific concepts, measures, and designs for version control systems.

著者
Eric Rawn
UC Berkeley, Berkeley, California, United States
Jingyi Li
Stanford University, Stanford, California, United States
Eric Paulos
UC Berkeley, Berkeley, California, United States
Sarah E.. Chasins
University of California, Berkeley, Berkeley, California, United States
論文URL

https://doi.org/10.1145/3544548.3581394

動画
Drawing Transforms: A Unifying Interaction Primitive to Procedurally Manipulate Graphics across Style, Space, and Time
要旨

Procedural functionality enables visual creators to rapidly edit, explore alternatives, and fine-tune artwork in many domains including illustration, motion graphics, and interactive animation. Symbolic procedural tools, such as textual programming languages, are highly expressive but often limit directly manipulating concrete artwork; whereas direct manipulation tools support some procedural expression but limit creators to pre-defined behaviors and inputs. Inspired by visions of using geometric input to create procedural relationships, we identify an opportunity to use vector geometry from artwork to specify expressive user-defined procedural functions. We present Drawing Transforms (DTs), a technique that enables the use of any drawing to procedurally transform the stylistic, spatial, and temporal properties of target artwork. We apply DTs in a prototype motion graphics system to author continuous and discrete transformations, modify multiple elements in a composition simultaneously, create animations, and control fine-grained procedural instantiation. We discuss how DTs can unify procedural authoring through direct manipulation across visual media domains.

著者
Sonia Hashim
University of California Santa Barbara, Santa Barbara, California, United States
Tobias Höllerer
University of California, Santa Barbara, Santa Barbara, California, United States
Jennifer Jacobs
University of California Santa Barbara, Santa Barbara, California, United States
論文URL

https://doi.org/10.1145/3544548.3580642

動画
Rapsai: Accelerating Machine Learning Prototyping of Multimedia Applications through Visual Programming
要旨

In recent years, there has been a proliferation of multimedia applications that leverage machine learning (ML) for interactive experiences. Prototyping ML-based applications is, however, still challenging, given complex workflows that are not ideal for design and experimentation. To better understand these challenges, we conducted a formative study with seven ML practitioners to gather insights about common ML evaluation workflows. This study helped us derive six design goals, which informed Rapsai. Rapsai features a node-graph editor to facilitate interactive characterization and visualization of ML model performance. Rapsai streamlines end-to-end prototyping with interactive data augmentation and model comparison capabilities in its no-coding environment. Our evaluation of Rapsai in four real-world case studies (N=15) suggests that practitioners can accelerate their workflow, make more informed decisions, analyze strengths and weaknesses, and holistically evaluate model behavior with real-world input.

受賞
Honorable Mention
著者
Ruofei Du
Google, San Francisco, California, United States
Na Li
Google, Palo Alto, California, United States
Jing Jin
Google, Mountain View, California, United States
Michelle Carney
Google, Mountain View, California, United States
Scott Miles
Google, Mountain View, California, United States
Maria Kleiner
Google, Mountain View, California, United States
Xiuxiu Yuan
Google, Mountain View, California, United States
Yinda Zhang
Google, Mountain View, California, United States
Anuva Kulkarni
Google, Mountain View, California, United States
Xingyu "Bruce". Liu
UCLA, Los Angeles, California, United States
Ahmed Sabie
Google, Mountain View, California, United States
Sergio Orts-Escolano
Google, Mountain View, California, United States
Abhishek Kar
Google, Mountain View, California, United States
Ping Yu
Google, Mountain View, California, United States
Ram Iyengar
Google, Mountain View, California, United States
Adarsh Kowdle
Google, San Francisco, California, United States
Alex Olwal
Google Inc., Mountain View, California, United States
論文URL

https://doi.org/10.1145/3544548.3581338

動画
De-Stijl: Facilitating Graphics Design with Interactive 2D Color Palette Recommendation
要旨

Selecting a proper color palette is critical in crafting a high-quality graphic design to gain visibility and communicate ideas effectively. To facilitate this process, we propose De-Stijl, an intelligent and interactive color authoring tool to assist novice designers in crafting harmonic color palettes, achieving quick design iterations, and fulfilling design constraints. Through De-Stijl, we contribute a novel 2D color palette concept that allows users to intuitively perceive color designs in context with their proportions and proximities. Further, De-Stijl implements a holistic color authoring system that supports 2D palette extraction, theme-aware and spatial-sensitive color recommendation, and automatic graphical elements (re)colorization. We evaluated De-Stijl through an in-lab user study by comparing the system with existing industry standard tools, followed by in-depth user interviews. Quantitative and qualitative results demonstrate that De-Stijl is effective in assisting novice design practitioners to quickly colorize graphic designs and easily deliver several alternatives.

著者
Xinyu Shi
University of Waterloo, Waterloo, Ontario, Canada
Ziqi Zhou
University of Waterloo, Waterloo, Ontario, Canada
Jing Wen Zhang
University of Waterloo, Waterloo, Ontario, Canada
Ali Neshati
University of Waterloo, Waterloo, Ontario, Canada
Anjul Kumar Tyagi
Stony Brook University, Stony Brook, New York, United States
Ryan Rossi
Adobe Research, San Jose, California, United States
Shunan Guo
Adobe Research, San Jose, California, United States
Fan Du
Adobe Research, San Jose, California, United States
Jian Zhao
University of Waterloo, Waterloo, Ontario, Canada
論文URL

https://doi.org/10.1145/3544548.3581070

動画
A Study of Editor Features in a Creative Coding Classroom
要旨

Creative coding is a rapidly expanding domain for both artistic expression and computational education. Numerous libraries and IDEs support creative coding, however there has been little consideration of how the environments themselves might be designed to serve these twin goals. To investigate this gap, we implemented and used an experimental editor to teach a sequence of college and high-school creative coding courses. In the first year, we conducted a log analysis of student work (n=39) and surveys regarding prospective features (n=25). These guided our implementation of common enhancements (e.g. color pickers) as well as uncommon ones (e.g. bidirectional shape editing). In the second year, we studied the effects of these features through logging (n=39+) and survey (n=23) studies. Reflecting on the results, we identify opportunities to improve creativity- and novice-focused IDEs and highlight tensions in their design—as in tools that augment artistry or efficiency but may be perceived as hindering learning.

著者
Andrew M. McNutt
University of Chicago, Chicago, Illinois, United States
Anton Outkine
University of Chicago, Chicago, Illinois, United States
Ravi Chugh
University of Chicago, Chicago, Illinois, United States
論文URL

https://doi.org/10.1145/3544548.3580683

動画