skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.


Title: 3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration Design
The widespread consumer-grade 3D printers and learning resources online enable novices to self-train in remote settings. While troubleshooting plays an essential part of 3D printing, the process remains challenging for many remote novices even with the help of well-developed online sources, such as online troubleshooting archives and online community help. We conducted a formative study with 76 active 3D printing users to learn how remote novices leverage online resources in troubleshooting and their challenges. We found that remote novices cannot fully utilize online resources. For example, the online archives statically provide general information, making it hard to search and relate their unique cases with existing descriptions. Online communities can potentially ease their struggles by providing more targeted suggestions, but a helper who can provide custom help is rather scarce, making it hard to obtain timely assistance. We propose 3DPFIX, an interactive 3D troubleshooting system powered by the pipeline to facilitate Human-AI Collaboration, designed to improve novices' 3D printing experiences and thus help them easily accumulate their domain knowledge. We built 3DPFIX that supports automated diagnosis and solution-seeking. 3DPFIX was built upon shared dialogues about failure cases from Q&A discourses accumulated in online communities. We leverage social annotations (i.e., comments) to build an annotated failure image dataset for AI classifiers and extract a solution pool. Our summative study revealed that using 3DPFIX helped participants spend significantly less effort in diagnosing failures and finding a more accurate solution than relying on their common practice. We also found that 3DPFIX users learn about 3D printing domain-specific knowledge. We discuss the implications of leveraging community-driven data in developing future Human-AI Collaboration designs.  more » « less
Award ID(s):
2403312 2324784 2113350 2318831
PAR ID:
10520952
Author(s) / Creator(s):
; ; ; ; ; ;
Publisher / Repository:
CHI
Date Published:
Journal Name:
Proceedings of the ACM on Human-Computer Interaction
Volume:
8
Issue:
CSCW1
ISSN:
2573-0142
Page Range / eLocation ID:
1 to 33
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. Mueller, Florian Floyd; Kyburz, Penny; Williamson, Julie R; Sas, Corina; Wilson, Max L; Dugas, Phoebe Toups; Shklovski, Irina (Ed.)
    Advances in artificial intelligence (AI) have enabled unprecedented capabilities, yet innovation teams struggle when envisioning AI concepts. Data science teams think of innovations users do not want, while domain experts think of innovations that cannot be built. A lack of effective ideation seems to be a breakdown point. How might multidisciplinary teams identify buildable and desirable use cases? This paper presents a first hand account of ideating AI concepts to improve critical care medicine. As a team of data scientists, clinicians, and HCI researchers, we conducted a series of design workshops to explore more effective approaches to AI concept ideation and problem formulation. We detail our process, the challenges we encountered, and practices and artifacts that proved effective. We discuss the research implications for improved collaboration and stakeholder engagement, and discuss the role HCI might play in reducing the high failure rate experienced in AI innovation. 
    more » « less
  2. To be successful in their future careers, students must be able to process information, devise creative solutions, and apply previous knowledge to new situations. Learning through only traditional teaching practices that rely heavily on lecture format and memorization is insufficient to prepare students for the future. Interactive project-based learning that experiences productive failure provides the opportunity for students to problem-solve novel topics and potentially fail at finding the solution. Through explanation, elaboration, comparison of iterations, refinement, and implementations, students can be more prepared to solve future problems. Our study examined the benefits of productive failure on high school students from both formal and informal learning environments working in collaborative teams to design and create 3D plant models. This STEAM project integrates science, design, and technology through innovative learning experiences in plant and agricultural science using emergent technologies. This learning experience encourages students to work together in collaborative teams of self-identified science, technophile, and art students to create 3D models of plants used in research at the Donald Danforth Plant Science Center in St. Louis, MO. Students learn about scientific research, the importance of plants in our society, and practice science communication skills. To create the 3D models, students must learn-by-doing to become proficient in using previously unfamiliar 3D modeling software where their teachers are merely facilitators. Students become active participants in their own learning by overcoming challenges through research, troubleshooting, teamwork, and perseverance. We used a mixed-method assessment approach comparing pre- and post-reflection questions. Students experience many challenges with learning the 3D model programs. They reported that they overcame difficulties working with the 3D modeling programs primarily through help from others and consulting outside resources, such as YouTube videos, as well as through continued effort. Students indicated that they faced challenges when creating their models but recognized that this project was a learning experience. Productive failure through the process of struggling and learning from one’s mistakes can encourage positive learning outcomes and give students a better ability to overcome future challenges. 
    more » « less
  3. To be successful in their future careers, students must be able to process information, devise creative solutions, and apply previous knowledge to new situations. Learning through only traditional teaching practices that rely heavily on lecture format and memorization is insufficient to prepare students for the future. Interactive project-based learning that experiences productive failure provides the opportunity for students to problem-solve novel topics and potentially fail at finding the solution. Through explanation, elaboration, comparison of iterations, refinement, and implementations, students can be more prepared to solve future problems. Our study examined the benefits of productive failure on high school students from both formal and informal learning environments working in collaborative teams to design and create 3D plant models. This STEAM project integrates science, design, and technology through innovative learning experiences in plant and agricultural science using emergent technologies. This learning experience encourages students to work together in collaborative teams of self-identified science, technophile, and art students to create 3D models of plants used in research at the Donald Danforth Plant Science Center in St. Louis, MO. Students learn about scientific research, the importance of plants in our society, and practice science communication skills. To create the 3D models, students must learn-by-doing to become proficient in using previously unfamiliar 3D modeling software where their teachers are merely facilitators. Students become active participants in their own learning by overcoming challenges through research, troubleshooting, teamwork, and perseverance. We used a mixed-method assessment approach comparing pre- and post-reflection questions. Students experience many challenges with learning the 3D model programs. They reported that they overcame difficulties working with the 3D modeling programs primarily through help from others and consulting outside resources, such as YouTube videos, as well as through continued effort. Students indicated that they faced challenges when creating their models but recognized that this project was a learning experience. Productive failure through the process of struggling and learning from one’s mistakes can encourage positive learning outcomes and give students a better ability to overcome future challenges. 
    more » « less
  4. Maker activities help students connect to STEAM content through hands-on activities that emphasize the roles of mentors, peers, and in-person interaction with physical artifacts. Despite the positive affordances of these activities, they do not translate well to online settings. Without immediate in-person feedback mechanisms, unstructured making activities may lead to frustration and decreased engagement. How do communities help students develop identities as future engineers if local help and mentorship is not available? The proposed study aims to address challenges of scaffolding collaboration during remote maker sessions through investigation of a novel projection device that allows users to talk & share gestures around a common physical artifact while in separate locations. 
    more » « less
  5. Over the past decade, practices related to online learning have become increasingly varied and legitimated. Whether it be formal e-learning in K-12 or at colleges and universities or casual perusing of the internet, many people have found communities online to support their own endeavors. Recently, due to the Covid-19 pandemic most colleges and universities have been forced to shift partly or entirely to remote learning due to campus closures. Further, even in cases in which a campus is open, many universities have limited access to their makerspace due to social distancing and capacity requirements. In response, this Work in Progress study investigates how online making communities and resources are supporting student learning through making. Through in-depth phenomenologically-based interviews conducted both before and during the pandemic, this study offers rich insights into how students are learning from and engaging in online maker communities/resources as a central part of their development as a maker. Through qualitative data analysis, we develop a model for how students are learning online. These findings show the role digital spaces play in developing competent, inspired makers. 
    more » « less