{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T11:03:25Z","timestamp":1763204605930,"version":"3.45.0"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100003524","name":"Ministry of Business, Innovation and Employment","doi-asserted-by":"publisher","award":["SFTI - RTVU2002"],"award-info":[{"award-number":["SFTI - RTVU2002"]}],"id":[{"id":"10.13039\/501100003524","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,29]]},"DOI":"10.1145\/3764687.3764689","type":"proceedings-article","created":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T09:15:38Z","timestamp":1763198138000},"page":"414-425","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["XRGait: Immersive Gait Training Visualization with Integrated Sensing"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0706-9396","authenticated-orcid":false,"given":"Faisal","family":"Zaman","sequence":"first","affiliation":[{"name":"School of Design Innovation, Victoria University of Wellington, Wellington, New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2703-6022","authenticated-orcid":false,"given":"Nadia","family":"Pantidi","sequence":"additional","affiliation":[{"name":"School of Design Innovation, Victoria University of Wellington, Wellington, New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1180-4114","authenticated-orcid":false,"given":"Jacob","family":"Young","sequence":"additional","affiliation":[{"name":"Human Computer Interaction Group, University of Otago, Dunedin, Otago, New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2616-7541","authenticated-orcid":false,"given":"Rafael","family":"Kuffner dos Anjos","sequence":"additional","affiliation":[{"name":"School of Computing, University of Leeds, Leeds, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-9697-0046","authenticated-orcid":false,"given":"Tom","family":"Trengrove","sequence":"additional","affiliation":[{"name":"School of Design Innovation, Victoria University of Wellington, Wellington, New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-0137-3814","authenticated-orcid":false,"given":"James","family":"Drown","sequence":"additional","affiliation":[{"name":"School of Design Innovation, Victoria University of Wellington, Wellington, New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7414-5215","authenticated-orcid":false,"given":"Jonathan","family":"Lee","sequence":"additional","affiliation":[{"name":"School of Design Innovation, Victoria University of Wellington, Wellington, New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,11,28]]},"reference":[{"key":"e_1_3_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/IC3.2018.8530543"},{"key":"e_1_3_3_3_3_2","unstructured":"ERD Alcala JA Voerman JM Konrath and A Vydhyanathan. 2021. Xsens DOT wearable sensor platform white paper. White Paper (2021)."},{"key":"e_1_3_3_3_4_2","doi-asserted-by":"crossref","unstructured":"Eric Anson Russell Rosenberg Peter Agada Tim Kiemel and John Jeka. 2013. Does visual feedback during walking result in similar improvements in trunk control for young and older healthy adults? Journal of neuroengineering and rehabilitation 10 (2013) 1\u20138.","DOI":"10.1186\/1743-0003-10-110"},{"key":"e_1_3_3_3_5_2","doi-asserted-by":"crossref","unstructured":"Philipp Arens Christopher Siviy Jaehyun Bae Dabin\u00a0K Choe Nikos Karavas Teresa Baker Terry\u00a0D Ellis Louis\u00a0N Awad and Conor\u00a0J Walsh. 2021. Real-time gait metric estimation for everyday gait training with wearable devices in people poststroke. Wearable technologies 2 (2021) e2.","DOI":"10.1017\/wtc.2020.11"},{"key":"e_1_3_3_3_6_2","unstructured":"J Brooke. 1996. SUS: A quick and dirty usability scale. Usability Evaluation in Industry (1996)."},{"key":"e_1_3_3_3_7_2","doi-asserted-by":"crossref","unstructured":"Desiderio Cano\u00a0Porras Petra Siemonsma Rivka Inzelberg Gabriel Zeilig and Meir Plotnik. 2018. Advantages of virtual reality in the rehabilitation of balance and gait: systematic review. Neurology 90 22 (2018) 1017\u20131025.","DOI":"10.1212\/WNL.0000000000005603"},{"key":"e_1_3_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/2783446.2783564"},{"key":"e_1_3_3_3_9_2","doi-asserted-by":"crossref","unstructured":"JH Crosbie Sheila Lennon JR Basford and SM McDonough. 2007. Virtual reality in stroke rehabilitation: still more virtual than real. Disability and rehabilitation 29 14 (2007) 1139\u20131146.","DOI":"10.1080\/09638280600960909"},{"key":"e_1_3_3_3_10_2","doi-asserted-by":"crossref","unstructured":"Benjamin\u00a0J Darter and Jason\u00a0M Wilken. 2011. Gait training with virtual reality\u2013based real-time feedback: improving gait performance following transfemoral amputation. Physical Therapy 91 9 (2011) 1385\u20131394.","DOI":"10.2522\/ptj.20100360"},{"key":"e_1_3_3_3_11_2","doi-asserted-by":"crossref","unstructured":"Gileno Edu\u00a0Lameira de Melo Ana Francisca\u00a0Rozin Kleiner Jamile Benite\u00a0Palma Lopes Arislander Jonathan\u00a0Lopes Dumont Roberta\u00a0Delasta Lazzari Manuela Galli and Claudia\u00a0Santos Oliveira. 2018. Effect of virtual reality training on walking distance and physical fitness in individuals with Parkinson\u2019s disease. NeuroRehabilitation 42 4 (2018) 473\u2013480.","DOI":"10.3233\/NRE-172355"},{"key":"e_1_3_3_3_12_2","doi-asserted-by":"crossref","unstructured":"Ilona\u00a0JM de Rooij Ingrid\u00a0GL van\u00a0de Port Johanna\u00a0MA Visser-Meily and Jan-Willem\u00a0G Meijer. 2019. Virtual reality gait training versus non-virtual reality gait training for improving participation in subacute stroke survivors: study protocol of the ViRTAS randomized controlled trial. Trials 20 (2019) 1\u201310.","DOI":"10.1186\/s13063-018-3165-7"},{"key":"e_1_3_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300404"},{"key":"e_1_3_3_3_14_2","doi-asserted-by":"crossref","unstructured":"Katharina Gordt Thomas Gerhardy Bijan Najafi and Michael Schwenk. 2017. Effects of wearable sensor-based balance and gait training on balance gait and functional performance in healthy and patient populations: a systematic review and meta-analysis of randomized controlled trials. Gerontology 64 1 (2017) 74\u201389.","DOI":"10.1159\/000481454"},{"key":"e_1_3_3_3_15_2","doi-asserted-by":"crossref","unstructured":"George\u00a0E Gorton\u00a0III David\u00a0A Hebert and Mary\u00a0E Gannotti. 2009. Assessment of the kinematic variability among 12 motion analysis laboratories. Gait & posture 29 3 (2009) 398\u2013402.","DOI":"10.1016\/j.gaitpost.2008.10.060"},{"key":"e_1_3_3_3_16_2","unstructured":"SG Hart. 1988. Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. Human mental workload\/Elsevier (1988)."},{"key":"e_1_3_3_3_17_2","doi-asserted-by":"publisher","unstructured":"Chris Heinrich Nadine Morkisch Tobias Langlotz Holger Regenbrecht and Christian Dohle. 2022. Feasibility and psychophysical effects of immersive virtual reality-based mirror therapy. Journal of NeuroEngineering and Rehabilitation 19 1 (07 Oct 2022) 107. 10.1186\/s12984-022-01086-4","DOI":"10.1186\/s12984-022-01086-4"},{"key":"e_1_3_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-60566-048-6.ch003"},{"key":"e_1_3_3_3_19_2","doi-asserted-by":"crossref","unstructured":"Mohammed\u00a0Soheeb Khan Vassilis Charissis and Sophia Sakellariou. 2019. Exploring the development requirements for virtual reality gait analysis. Multimodal Technologies and Interaction 3 2 (2019) 24.","DOI":"10.3390\/mti3020024"},{"key":"e_1_3_3_3_20_2","doi-asserted-by":"crossref","unstructured":"Konstantina Kilteni Raphaela Groten and Mel Slater. 2012. The sense of embodiment in virtual reality. Presence: Teleoperators and Virtual Environments 21 4 (2012) 373\u2013387.","DOI":"10.1162\/PRES_a_00124"},{"key":"e_1_3_3_3_21_2","doi-asserted-by":"crossref","unstructured":"Chi-Ho Lee Yumi Kim and Byoung-Hee Lee. 2014. Augmented reality-based postural control training improves gait function in patients with stroke: Randomized controlled trial. Hong Kong Physiotherapy Journal 32 2 (2014) 51\u201357.","DOI":"10.1016\/j.hkpj.2014.04.002"},{"key":"e_1_3_3_3_22_2","doi-asserted-by":"crossref","unstructured":"Kyeongjin Lee. 2020. Virtual reality gait training to promote balance and gait among older people: a randomized clinical trial. Geriatrics 6 1 (2020) 1.","DOI":"10.3390\/geriatrics6010001"},{"key":"e_1_3_3_3_23_2","doi-asserted-by":"crossref","unstructured":"Feng Lin Aosen Wang Yan Zhuang Machiko\u00a0R Tomita and Wenyao Xu. 2016. Smart insole: A wearable sensor device for unobtrusive gait monitoring in daily life. IEEE Transactions on Industrial Informatics 12 6 (2016) 2281\u20132291.","DOI":"10.1109\/TII.2016.2585643"},{"key":"e_1_3_3_3_24_2","doi-asserted-by":"crossref","unstructured":"Anat Mirelman Inbal Maidan Talia Herman Judith\u00a0E Deutsch Nir Giladi and Jeffrey\u00a0M Hausdorff. 2011. Virtual reality for gait training: can it induce motor learning to enhance complex walking and reduce fall risk in patients with Parkinson\u2019s disease? Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences 66 2 (2011) 234\u2013240.","DOI":"10.1093\/gerona\/glq201"},{"key":"e_1_3_3_3_25_2","doi-asserted-by":"crossref","unstructured":"Hyung\u00a0Seok Nam Caitlin Clancy Matthew Smuck and Maarten\u00a0G Lansberg. 2024. Insole Pressure Sensors to Assess Post-Stroke Gait. Annals of rehabilitation medicine 48 1 (2024) 42.","DOI":"10.5535\/arm.23064"},{"key":"e_1_3_3_3_26_2","unstructured":"Selma Papegaaij Floris Morang and Frans Steenbrink. 2017. Virtual and augmented reality based balance and gait training. White Pap (2017) 1\u20138."},{"key":"e_1_3_3_3_27_2","doi-asserted-by":"publisher","DOI":"10.4135\/9781412984898"},{"key":"e_1_3_3_3_28_2","unstructured":"Michael Pollind Rahul Soangra Marybeth Grant-Beuttler and Afshin Aminian. 2019. Customized wearable sensor-based insoles for gait re-training in idiopathic toe walkers. Biomedical sciences instrumentation 55 2 (2019) 192."},{"key":"e_1_3_3_3_29_2","doi-asserted-by":"crossref","unstructured":"Mohamed Irfan\u00a0Mohamed Refai Bert-Jan\u00a0F van Beijnum Jaap\u00a0H Buurke and Peter\u00a0H Veltink. 2018. Gait and dynamic balance sensing using wearable foot sensors. IEEE transactions on neural systems and rehabilitation engineering 27 2 (2018) 218\u2013227.","DOI":"10.1109\/TNSRE.2018.2885309"},{"key":"e_1_3_3_3_30_2","doi-asserted-by":"crossref","unstructured":"Clara Rentz Mehran\u00a0Sahandi Far Maik Boltes Alfons Schnitzler Katrin Amunts Juergen Dukart and Martina Minnerop. 2022. System comparison for gait and balance monitoring used for the evaluation of a home-based training. Sensors 22 13 (2022) 4975.","DOI":"10.3390\/s22134975"},{"key":"e_1_3_3_3_31_2","doi-asserted-by":"crossref","unstructured":"Elizabeth Russell\u00a0Esposito Harmony\u00a0S Choi Benjamin\u00a0J Darter and Jason\u00a0M Wilken. 2017. Can real-time visual feedback during gait retraining reduce metabolic demand for individuals with transtibial amputation? PLoS One 12 2 (2017) e0171786.","DOI":"10.1371\/journal.pone.0171786"},{"key":"e_1_3_3_3_32_2","doi-asserted-by":"crossref","unstructured":"Samir Sangani Kara\u00a0K Patterson Joyce Fung and Anouk Lamontagne. 2020. Real-time avatar-based feedback to enhance the symmetry of spatiotemporal parameters after stroke: instantaneous effects of different avatar views. IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 4 (2020) 878\u2013887.","DOI":"10.1109\/TNSRE.2020.2979830"},{"key":"e_1_3_3_3_33_2","doi-asserted-by":"crossref","unstructured":"Thomas Schubert Frank Friedmann and Holger Regenbrecht. 2001. The experience of presence: Factor analytic insights. Presence: Teleoperators & Virtual Environments 10 3 (2001) 266\u2013281.","DOI":"10.1162\/105474601300343603"},{"key":"e_1_3_3_3_34_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3501989"},{"key":"e_1_3_3_3_35_2","doi-asserted-by":"crossref","unstructured":"Mel Slater and Maria\u00a0V Sanchez-Vives. 2016. Enhancing our lives with immersive virtual reality. Frontiers in Robotics and AI 3 (2016) 236866.","DOI":"10.3389\/frobt.2016.00074"},{"key":"e_1_3_3_3_36_2","first-page":"1","volume-title":"Smart SysTech 2019; European Conference on Smart Objects, Systems and Technologies","author":"Stoutz Sebastian","year":"2019","unstructured":"Sebastian Stoutz, Chien-Hsi Chen, Kim-Charline Broscheid, and Lutz Schega. 2019. User acceptance and Usability of a home based gait analysis system. In Smart SysTech 2019; European Conference on Smart Objects, Systems and Technologies. VDE, 1\u20135."},{"key":"e_1_3_3_3_37_2","doi-asserted-by":"crossref","unstructured":"Sophini Subramaniam Sumit Majumder Abu\u00a0Ilius Faisal and M\u00a0Jamal Deen. 2022. Insole-based systems for health monitoring: Current solutions and research challenges. Sensors 22 2 (2022) 438.","DOI":"10.3390\/s22020438"},{"key":"e_1_3_3_3_38_2","doi-asserted-by":"crossref","unstructured":"Maite Taboada Julian Brooke Milan Tofiloski Kimberly Voll and Manfred Stede. 2011. Lexicon-based methods for sentiment analysis. Computational linguistics 37 2 (2011) 267\u2013307.","DOI":"10.1162\/COLI_a_00049"},{"key":"e_1_3_3_3_39_2","doi-asserted-by":"crossref","unstructured":"Linda\u00a0MA van Gelder Andrew Barnes Jonathan\u00a0S Wheat and Ben\u00a0W Heller. 2018. The use of biofeedback for gait retraining: A mapping review. Clinical Biomechanics 59 (2018) 159\u2013166.","DOI":"10.1016\/j.clinbiomech.2018.09.020"},{"key":"e_1_3_3_3_40_2","doi-asserted-by":"crossref","unstructured":"Carla Winter Florian Kern Dominik Gall Marc\u00a0Erich Latoschik Paul Pauli and Ivo K\u00e4thner. 2021. Immersive virtual reality during gait rehabilitation increases walking speed and motivation: a usability evaluation with healthy participants and patients with multiple sclerosis and stroke. Journal of neuroengineering and rehabilitation 18 1 (2021) 68.","DOI":"10.1186\/s12984-021-00848-w"},{"key":"e_1_3_3_3_41_2","doi-asserted-by":"publisher","DOI":"10.1145\/2413097.2413120"},{"key":"e_1_3_3_3_42_2","doi-asserted-by":"crossref","unstructured":"Yea-Ru Yang Meng-Pin Tsai Tien-Yow Chuang Wen-Hsu Sung and Ray-Yau Wang. 2008. Virtual reality-based training improves community ambulation in individuals with stroke: a randomized controlled trial. Gait & posture 28 2 (2008) 201\u2013206.","DOI":"10.1016\/j.gaitpost.2007.11.007"}],"event":{"name":"OZCHI '25: 37th Australian Conference on Human-Computer Interaction","acronym":"OZCHI '25","location":"Gadigal | Sydney Australia"},"container-title":["Proceedings of the 37th Australian Conference on Human-Computer Interaction"],"original-title":[],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T11:01:27Z","timestamp":1763204487000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3764687.3764689"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,28]]},"references-count":41,"alternative-id":["10.1145\/3764687.3764689","10.1145\/3764687"],"URL":"https:\/\/doi.org\/10.1145\/3764687.3764689","relation":{},"subject":[],"published":{"date-parts":[[2025,11,28]]},"assertion":[{"value":"2025-11-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}