SimTech researchers have reason to celebrate as two papers have been accepted to the highly competitive ACM (Association of Computing Machinery) CHI conference, the pinnacle event in the realm of Human-Computer Interaction (HCI). With an acceptance rate of around 25%, this achievement underscores the caliber of research emerging from SimTech.
The ACM CHI conference, renowned for its focus on advancing the frontiers of technology, will take place from May 11th to May 16th, 2024, in Honolulu, Hawaii, USA. This year's theme, "Surfing the World," symbolizes the conference's dedication to exploring cutting-edge technology and embracing new developments in HCI.
The first paper, authored by Xingyao Yu, titled "Design Space of Visual Feedforward and Corrective Feedback in XR-Based Motion Guidance Systems," explores the interplay between instructional cues and corrective feedback in extended reality (XR) motion guidance. This research, conducted in collaboration with Benjamin Lee and Michael Sedlmair, sheds light on design approaches for enhancing the learning experience in XR environments.
Abstract: Extended reality (XR) technologies are highly suited in assisting individuals in learning motor skills and movements---referred to as motion guidance. In motion guidance, the ``feedforward’’ provides instructional cues of the motions that are to be performed, whereas the ``feedback’’ provides cues which help correct mistakes and minimize errors. Designing synergistic feedforward and feedback is vital to providing an effective learning experience, but this interplay between the two has not yet been adequately explored. Based on a survey of the literature, we propose design space for both motion feedforward and corrective feedback in XR, and describe the interaction effects between them. We identify common design approaches of XR-based motion guidance found in our literature corpus, and discuss them through the lens of our design dimensions. We then discuss additional contextual factors and considerations that influence this design, together with future research opportunities for motion guidance in XR.
Xingyao Yu is a SimTech Ph.D. student in Visualization Research Center (VISUS), at University of Stuttgart and at Stuttgart Center for Simulation Science (SimTech), supervised by Prof. Dr. Michael Sedlmair. His research interests are in human-computer interaction (HCI) and extended reality (XR, including VR, AR and MR), especially in user experience, motion guidance and on-body visualization in XR.
The second paper, authored by Christian Krauter and team, delves into "Sitting Posture Recognition and Feedback: A Literature Review." This comprehensive review examines various approaches to improving sitting habits through smart devices, providing valuable insights for developers of posture systems. Christian Krauter, alongside Katrin Angerbauer, Aimée Sousa Calepso, Alexander Achberger, Sven Mayer, and Michael Sedlmair, presents findings that address factors such as hardware selection, feedback types, and long-term effects on user posture.
Abstract: Extensive sitting is unhealthy; thus, countermeasures are needed to react to the ongoing trend toward more prolonged sitting. A variety of studies and guidelines have long addressed the question of how we can improve our sitting habits. Nevertheless, sitting time is still increasing. Here, smart devices can provide a general overview of sitting habits for more nuanced feedback on the user’s sitting posture. Based on a literature review (N=223), including publications from engineering, computer science, medical sciences, electronics, and more, our work guides developers of posture systems. There is a large variety of approaches, with pressure-sensing hardware and visual feedback being the most prominent. We found factors like environment, cost, privacy concerns, portability, and accuracy important for deciding hardware and feedback types. Further, one should consider the user’s capabilities, preferences, and tasks. Regarding user studies for sitting posture feedback, there is a need for better comparability and for investigating long-term effects.
Christian Krauter recently received his M.Sc. and is now a Ph.D. candidate at the Visualization Research Center (VISUS) of the University of Stuttgart, both under the supervision of Prof. Dr. Michael Sedlmair. For his Master's thesis, he built a smart chair for sitting posture recognition and feedback, which led to this publication. The work is closely related and embedded in SimTech’s Digital Human Model vision.
Both Xingyao Yu and Christian Krauter represent the cutting-edge research conducted within SimTech, highlighting the interdisciplinary nature of HCI research and its potential to shape future interactions between humans and technology. Their contributions underscore SimTech's commitment to advancing the field and its reputation as a leading hub for innovative research.
For more information about ACM CHI conference, visit the conference website: https://chi2024.acm.org/.