top of page


The 23rd IEEE International Symposium on Mixed and Augmented Reality
Oct 21, 2024, 9:00 AM – 5:00 PM PDT
Hilton Bellevue,
300 112th Ave SE, Bellevue, WA 98004, USA
Call for Papers
Call for Papers

The XR-SPro 

Smart production is set to revolutionize the manufacturing industry by enabling new levels of flexibility in product design and production, integrated operations, manufacturing sustainability, and worker competence. This new production paradigm benefits from extended reality (XR) technologies in every stage of the product life cycle. XR can enable remote collaboration on product designs and workflows, as well as on-the-job training and coaching tailored to the work context and the expertise levels of individual workers. These systems can support the designs of safer factories and the optimization of production lines. And they increase workers' competence and efficiency by providing relevant information at the right time. This workshop aims to identify the current state, gaps, and future directions of XR research in the context of smart production. XR-SPro will build a community to bring together researchers and designers in XR and manufacturing from academia and industry. This year, we are particularly interested in the theme of workforce development. In recent years, manufacturing firms across the world report their #1 pain point as the challenge to find talent for production. How can XR support training and supporting a competent and diverse manufacturing workforce?

Themes and Topics of Interest

  • XR for industrial training and education

  • Game-based learning in XR

  • XR for remote assistance XR for collaborative work

  • XR for instructional aids XR for computer-assisted design (CAD)

  • User acceptance of XR for smart production

  • XR for factory layout, production planning and optimization

  • XR for human-machine interaction and collaboration

  • XR for real-time visualization of sensor and process data

  • XR and haptics to support manual manufacturing applications

  • Integration of XR hardware/software to support smart production

  • Industrial metaverse

  • XR and digital twins for manufacturing applications

Image by Freepik


John Liu
John Liu
Massachusetts Institute of Technology
  • LinkedIn

Dr. John Liu is the Principal Investigator of the MIT LEAP Group, focusing on STEM education and workforce development. He is a Lecturer in MIT's Mechanical Engineering department and MITx Digital Learning Lab Scientist, leading the Manufacturing@MIT initiative. Former Director of the Principles of Manufacturing MicroMasters program, Dr. Liu's work spans engineering education, mixed reality, workforce solutions, and instructional design. He earned awards from ASEE and holds degrees from Caltech and MIT, including a Ph.D. under prestigious fellowships.

Mohsen Moghaddam
Georgia Institute of Technology
  • LinkedIn

Mohsen Moghaddam is the Gary C. Butler Family Associate Professor at Georgia Tech's H. Milton Stewart School of Industrial & Systems Engineering and the George W. Woodruff School of Mechanical Engineering. He is also a Visiting Scholar at Harvard University and a Visiting Professor at Politecnico di Milano. He earned his Ph.D. in Industrial Engineering from Purdue University. His research on human-centered AI and spatial computing to enhance learning and adaptability in industrial settings, funded by NSF, DARPA, the U.S. Navy, and industry.

Mohsen Moghaddam
Thomas Moser
Thomas Moser
St. Pölten University of Applied Sciences
  • LinkedIn

FH-Prof. Dr. Thomas Moser is the head of the Institute of Creative\Media/Technologies at St. Pölten University of Applied Sciences and is involved in the “Smart Engineering” program. He earned his master’s and Ph.D. from Vienna University of Technology. Moser has authored over 80 publications and given 25+ talks at international conferences. His research focuses on digitalization, Industry 4.0, and new technologies. He organizes multiple workshop series and has served on program committees for international conferences.

Josef Wolfartsberger
University of Applied Sciences Upper Austria
  • LinkedIn

Josef Wolfartsberger is a Professor for Smart Production at the University of Applied Sciences Upper Austria, School of Business & Management Steyr. He completed his PhD in computer science at Vienna University of Technology in 2012. Since 2017, he has lectured on "Smart Production and Management" and "Operations Management" and was appointed Professor in 2020. He organizes the XR-SPro workshop series and heads the Smart Production Lab. His research includes mixed reality, additive manufacturing, and collaborative robots, with over 60 publications.

Joseph Wolfartsberger
Peter Zink
PTC, Inc.
  • LinkedIn

Peter Zink, Ph.D., directs Strategic Education Programs at PTC, a global software company. He collaborates with educational institutions worldwide to advance PTC’s product development and empower future engineers. Previously, as a mechanical engineering faculty member at Boston University, Zink designed a flexible automated manufacturing cell. This innovation provided students with hands-on experience with industrial machines and advanced manufacturing systems, preparing them for real-world challenges in engineering.

Sang Ho Yoon
Korea Advanced Institute of Science & Technology
  • LinkedIn

Sang Ho Yoon, Assistant Professor in the Graduate School of Culture Technology at KAIST, directs the HCI Tech Lab and is affiliated faculty in the School of Computing and Graduate School of Metaverse. With prior experience at Microsoft Applied Sciences Lab and Samsung Research, he specializes in novel sensing and haptic devices for XR. His research aims to facilitate natural user interactions, focusing on overcoming physical, mental, and social barriers in human-computer interaction, particularly in haptics and sensing techniques for XR interfaces.

Sang Ho Yoon


9:00 am
Welcome from the organizers
9:10 am
Morning keynote
1:00 pm
Session 3: Industry demos (interactive session)
2:00 pm
Presentation / panel: Future of work and/or funding
9:30 am
Session 1: Paper presentations (3-5 min) + round table discussions
10:30 am
Coffee break and discussions
11:00 am
Session 2: Paper presentations (3-5 min) + round table discussions
3:00 pm
Coffee break
3:30 pm
Session 4: Brainstorming session – key challenges and opportunities (small group facilitated discussion)
4:30 pm
Summary and next-steps from the organizers
12:00 pm



Contributions are planned to be included and indexed in the IEEE digital library.  

  • Research Papers (6-8 pages): Novel results in the field within the above-mentioned categories related to XR development.

  • Short Papers (up to 4 pages): Preliminary results or work in progress.

  • State of the Art Reports (6-8 pages): Surveys on the main results in this field, allowing us to understand and compare achievements and approaches in tackling issues from the XR communities.

Papers must be written in English and follow the IEEE Computer Society VGTC format, described at:


All papers and camera-ready versions must be submitted electronically via EasyChair, the conference management tool, by clicking on the button below. 


Submissions will be reviewed by at least two program committee members following a single-blind review process. Accepted papers will receive guidelines for preparing and submitting the final manuscript(s) along with the notification of acceptance.

Important Dates

All deadlines are 23:59:59 Anywhere on Earth (GMT/UTC-12:00). 

  • Submission: July 26, 2024 July 19, 2024

  • Notification: August 16, 2024

  • Camera-ready deadline for inclusion in the IEEE Digital Library: August 25, 2024


Kaveh Amouzgar, Uppsala University, Sweden

Christoph Anthes, University of Applied Sciences Upper Austria, Austria

Brian Anthony, Massachusetts Institute of Technology, USA

Mark Billinghurst, University of South Australia, Auckland

Farid Breidi, Purdue University, USA

Kapil Chalil Madathil, Clemson University, USA

Chris Dede, Harvard University, USA

Jeremiah Diephuis, University of Applied Sciences Upper Austria

Ismail Fidan, Tennessee Tech University, USA

Stephen Gilbert, Iowa State University, USA

John Hart, Massachusetts Institute of Technology, USA

Casper Harteveld, Northeastern University, USA

Yuri Hovanski, Brigham Young University, USA

Matthias Husinsky, St. Pölten University of Applied Sciences, Austria

Andreas Jakl, St. Pölten University of Applied Sciences, Austria

Seokhee Jeon, Kyung Hee University, Korea

Kemi Jona, University of Virginia, USA

Matthias Klumpp, Politecnico di Milano, Italy

Thomas Kurfess, Georgia Institute of Technology, USA

Stacy Marsella, Northeastern University, USA

Daniel Niedermayr, University of Applied Sciences Upper Austria, Austria

Victor Adriel de Jesus Oliveira, St. Pölten University of Applied Sciences, Austria

Horst Orsolits, University of Applied Sciences Technikum Wien, Austria

Karthik Ramani, Purdue University, USA

Sabrina Romina Sorko, Joanneum University of Applied Sciences, Austria

Linda Rudolph, Technische Universität München, Germany

Hideo Saito, Keio University, Japan

Lucas Schöffer, St. Pölten University of Applied Sciences, Austria

Shana Smith, National Taiwan University, Taiwan

Gerhard Sprung, Joanneum University of Applied Sciences, Austria

Ana Stanescu, Graz University of Technology, Austria

Markus Tatzgern, Salzburg University of Applied Science, Austria

Dishita Turakhia, Massachusetts Institute of Technology, USA

Erik Verlage, Ohio State University, USA

Nicholas Wilson, Harvard University, USA

Woontack Woo, KAIST, Korea

Huitaek Yun, KAIST, Korea

Smart Manufacturing Worker + XR
bottom of page