Impact of Tactile and Visual Feedback on Breathing Rhythm and User Experience in VR Exergaming
Open accessAbstract
Combining interconnected wearables provides fascinating opportunities like augmenting exergaming with virtual coaches, feedback on the execution of sports activities, or how to improve on them. Breathing rhythm is a particularly interesting physiological dimension since it is easy and unobtrusive to measure and gained data provide valuable insights regarding the correct execution of movements, especially when analyzed together with additional movement data in real-time. In this work, we focus on indoor rowing since it is a popular sport that's often done alone without extensive instructions. We compare a visual breathing indication with haptic guidance in order for athletes to maintain a correct, efficient, and healthy breathing-movement-synchronicity (BMS) while working out. Also, user experience and acceptance of the different modalities were measured. The results show a positive and statistically significant impact of purely verbal instructions and purely tactile feedback on BMS and no significant impact of visual feedback. Interestingly, the subjective ratings indicate a strong preference for the visual modality and even an aversion for the haptic feedback, although objectively the performance benefited most from using the latter.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
User-centered design (UCD) can significantly enhance user engagement and intervention outcomes in technology-based health apps.
“consistent with findings demonstrating that UCD can significantly enhance user engagement and intervention outcomes in technology-based health apps [2755].”
From Outcomes of an App-Based Intervention to Target Naming Among Individuals With Poststroke Aphasia: Virtual Randomized Controlled Trial (2025) · cites this paper as [55]
The Related work section discusses increased engagement from gamified exergame elements, while the Discussion reports effects of feedback on rowing breathing synchronicity and user experience. Neither section addresses user-centered design or its effect on engagement and intervention outcomes in health apps; searches for UCD and participatory design found no relevant passage. (LLM, conf=0.75)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Multiple resources and performance prediction
Wickens, C. D. (2002) · Theoretical Issues in Ergonomics Science · doi:10.1080/14639220210123806 · Cited by 2,621 · cited 2× · see citing works
“Both reviews concluded visual-tactile feedback decreases workload, which is in line with the Multiple Resource Theory [23], proposing different cognitive resources for processing different modalities of stimuli.”
Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review
Sigrist, R., Rauter, G., Riener, R., & Wolf, P. (2013) · Psychonomic Bulletin & Review · doi:10.3758/s13423-012-0333-8 · Cited by 1,416 · cited 1× · see citing works
“For example, haptic guidance [19] helps novices to quickly learn movements in a safe and selfexplanatory way [20], while it can offer in-depth teaching aspects for advanced learners or athletes [18].”
BackgroundAttrakDiff: Ein Fragebogen zur Messung wahrgenommener hedonischer und pragmatischer Qualität
Hassenzahl, M., Burmester, M., & Koller, F. (2003) · Berichte des German Chapter of the ACM · doi:10.1007/978-3-322-80058-9_19 · Cited by 955 · see citing works
Dinh, H. Q., Walker, N., Hodges, L. F., Song, C., & Kobayashi, A. (2003) · Proceedings IEEE Virtual Reality (Cat. No. 99CB36316) · doi:10.1109/vr.1999.756955 · Cited by 566 · see citing works
Peng, W., Lin, J.-H., Pfeiffer, K. A., & Winn, B. (2012) · Media Psychology · doi:10.1080/15213269.2012.673850 · Cited by 426 · see citing works
Haptic guidance: experimental evaluation of a haptic training method for a perceptual motor skill
Feygin, D., Keehner, M., & Tendick, R. (2003) · Proceedings 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. HAPTICS 2002 · doi:10.1109/haptic.2002.998939 · Cited by 394 · see citing works
Burke, J. L., Prewett, M. S., Gray, A. A., Yang, L., Stilson, F. R. B., Coovert, M. D., Elliot, L. R., & Redden, E. (2006) · Proceedings of the 8th international conference on Multimodal interfaces · doi:10.1145/1180995.1181017 · Cited by 221 · see citing works
The entrainment of breathing frequency by exercise rhythm.
Bechbache, R. R., & Duffin, J. (1977) · The Journal of Physiology · doi:10.1113/jphysiol.1977.sp012059 · Cited by 201 · see citing works
Bolton, J., Lambert, M., Lirette, D., et al. (2014) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2559206.2574827 · Cited by 105 · see citing works
The Task-Dependent Efficacy of Shared-Control Haptic Guidance Paradigms
Powell, D., & O'Malley, M. K. (2012) · IEEE Transactions on Haptics · doi:10.1109/toh.2012.40 · Cited by 94 · see citing works
Sport-specific influences on respiratory patterns in elite athletes
Durmić, T., Lazović, B., Djelic, M. N., Suzic-Lazić, J., Žikić, D., Žugić, V., Dekleva, M., & Mazic, S. D. (2015) · Jornal Brasileiro de Pneumologia · doi:10.1590/s1806-37562015000000050 · Cited by 73 · see citing works
Pulmonary Mechanics and Entrainment of Respiration and Stroke Rate During Rowing
Steinacker, J. M., Both, M., & Whipp, B. J. (1993) · International Journal of Sports Medicine · doi:10.1055/s-2007-1021217 · Cited by 63 · see citing works
Improving the Quality of multimedia Experience through sensory effects
Waltl, M., Timmerer, C., & Hellwagner, H. (2010) · International Workshop on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex.2010.5517704 · Cited by 58 · see citing works
Measuring the added value of haptic feedback
Maggioni, E., Agostinelli, E., & Obrist, M. (2017) · International Conference on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex.2017.7965670 · Cited by 52 · see citing works
Clinical Applications of Breathing Regulation
Gilbert, C. (2003) · Behavior Modification · doi:10.1177/0145445503256322 · Cited by 43 · see citing works
Breathe with Touch: A Tactile Interface for Breathing Assistance System
Yu, B., Feijs, L. M. G., Funk, M., & Hu, J. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-22698-9_4 · Cited by 41 · see citing works
The benefits of multimodal information
Prewett, M. S., Yang, L., Stilson, F. R. B., Gray, A. A., Coovert, M. D., Burke, J. L., Redden, E. S., & Elliot, L. (2006) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/1180995.1181057 · Cited by 41 · see citing works
Using Virtual Reality and Head-Mounted Displays to Increase Performance in Rowing Workouts
Arndt, S., Perkis, A., & Voigt‐Antons, J. (2018) · doi:10.1145/3265845.3265848 · Cited by 35 · see citing works
Self-citationSensory Experience: Quality of Experience Beyond Audio-Visual
Timmerer, C., Waltl, M., Rainer, B., & Murray, N. (2014) · T-labs series in telecommunication services · doi:10.1007/978-3-319-02681-7_24 · Cited by 33 · see citing works
Impact of Virtual Environments on Motivation and Engagement During Exergames
Schmidt, S., Ehrenbrink, P., Weiß, B., Voigt‐Antons, J., Kojić, T., Johnston, A., & Möller, S. (2018) · International Conference on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex.2018.8463389 · Cited by 32 · see citing works
Self-citationGiroux, F., Boasen, J., Sénécal, S., et al. (2019) · IEEE World Haptics Conference (WHC) · doi:10.1109/whc.2019.8816115 · Cited by 19 · see citing works
Influence of UI Complexity and Positioning on User Experience During VR Exergames
Kojić, T., Sirotina, U., Möller, S., & Voigt‐Antons, J. (2019) · International Conference on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex.2019.8743273 · Cited by 14 · see citing works
Self-citationADVANCED SPORT TECHNOLOGIES: Enhancing OLYMPIC PERFORMANCE
Broker, J. P., & Crawley, J. (2001) · ISBS - Conference Proceedings Archive · Cited by 13 · see citing works
Influence of Virtual Environments and Conversations on User Engagement During Multiplayer Exergames
Kojić, T., Voigt‐Antons, J., Schmidt, S., et al. (2018) · International Conference on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex.2018.8463370 · Cited by 11 · see citing works
Self-citationDonley, J., Ritz, C. H., & Shujau, M. (2014) · International Conference on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex.2014.6982333 · Cited by 10 · see citing works
Haptic feedback and human performance in a wearable sensor system
Janidarmian, M., Fekr, A. R., Radecka, K., et al. (2016) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi.2016.7455975 · Cited by 10 · see citing works
Ramacharaka, Y. (1905) · Biodiversity Heritage Library (Smithsonian Institution) · doi:10.5962/bhl.title.26319 · Cited by 8 · see citing works
Application of Virtual Reality Technology to Sports
Ting, L. (2015) · Advances in computer science research · doi:10.2991/cas-15.2015.74 · Cited by 7 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- R. Gevirtz, "Resonant frequency training to restore homeostasis for treatment of psychophysiological disorders," Biofeedback, vol. 27, pp. 7-9, 2000.
- Y. Oh and S. Yang, "Defining exergames & exergaming," Proceedings of Meaningful Play, pp. 1-17, 2010.
- J. Bolton, M. Lambert, D. Lirette, and B. Unsworth, "Paperdude: a virtual reality cycling exergame," in CHI'14 Extended Abstracts on Human Factors in Computing Systems. ACM, 2014, pp. 475-478.
Cited by
Sorted by citations
Kim, E. S., Laird, L., Wilson, C., Stewart, S., Mildner, P., Möller, S., Schatz, R., Spang, R. P., Voigt-Antons, J.-N., & Rochon, E. (2025) · JMIR mHealth and uHealth · doi:10.2196/67711 · Cited by 2 · see citing works
“…of the VoiceAdapt app was in its design, incorporating UCD principles with input from end users (therapists, people with aphasia, etc), consistent with findings demonstrating that UCD can significantly enhance user engagement and intervention outcomes in technology-based health apps [27,55].”
Self-citation
- Authors
- Greinacher, R., Kojic, T., Meier, L., Parameshappa, R. G., Moller, S., & Voigt-Antons, J.-N.
- Affiliations
- Technische Universität Berlin (DE)
- Venue
- 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX)
- Publisher
- IEEE
- Published
- 2020-05
- Pages
- 1-6
- OpenAlex
- W3014496572
- Cited by
- 20
- References
- 28
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 4 · 2023: 3 · 2021: 4
- FWCI
- 1.28
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- International Conference on Quality of Multimedia Experience (QoMEX) (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Physical Education and Training Studies
- Keywords
- respiratory rhythm, haptic feedback, visual feedback, indoor rowing, user experience, wearable sensors, verbal instructions
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review