MIVE Lab
Multidisciplinary research team at KITE-Toronto Rehabilitation Institute, University Health Network.
02/08/2026
Another fantastic year at the Conference in Niagara, Canada! ๐จ๐ฆ Huge thanks to the organizers for an engaging and insightful event. โค๏ธ
Some MIVE Lab highlights:
Lauren Hong shared findings on how age-related impacts dual-task performance during a listening-while-driving paradigm.๐๐
๐ฅ Best Poster Award Runner-Up: Lianna Montanari presented Jordan Fairlieโs work examining effects on spatial and gait๐ถโโ๏ธ โ congrats on placing second!
Ramsha Mahmood presented research on the impact of hearing loss in on mobility and gait. ๐๐ง
Carina Baldassarra presented a study that explored whether modulation affects symptoms in . ๐ฎ
Grateful for the opportunity to share our work and connect with such an amazing research community. Until next year!
08/25/2025
๐โ๏ธ Some of our MIVErs recently traveled to Akureyri, Iceland for the 2nd Annual Congress on Motion Sickness! Here are a few highlights:
๐น Dr. Behrang Keshavarz shared new insights into visually induced motion sickness, showcasing recent and ongoing MIVE Lab research.
๐น Polina Andrievskaia presented on the influence of s*x and age in the relationship between field dependence and motion sickness.
๐น Narmada Umatheva discussed preliminary findings from a project exploring how auditory beat stimulation and music affect motion sickness in VR.
Beyond the presentations, our team enjoyed connecting with colleagues, sparking new collaborations, and even taking in some of Icelandโs breathtaking sights.
07/31/2025
Some more MIVE activity highlights at :
๐ฎ Dr. Raheleh Saryazdi presented research on at-home VR interventions for persons living with dementia and their caregivers. Results show that the use of VR facilitated communication by making conversations longer, more frequent, natural, engaging, and enjoyable. (Coauthors: Lou-Anne Carsault, Julie Bannon, Erica Dove, Marie Savundranayagam, PhD, FGSA, Lora Appel, Jennifer Campos)
๐ Dr. Gelareh Hajian presented her exploratory work on using driving performance as a marker of cognitive status. Machine-learning models show great potential for utilizing driving performance in determining cognitive impairment. (Coauthors: Bing Ye, Elaine Stasiulis, PhD, Mark Rapoport, Gary Naglie, Jennifer Campos, Alex Mihailidis)
๐ Gelareh Hajian also presented on the use of conditionally automated vehicles (CAVs) by users across a range of cognitive abilities. Findings indicate that CAVs may be a useful tool to support safe driving in persons with cognitive impairment. (Coauthors: Bing Ye, Elaine Stasiulis, PhD, Mark Rapoport, Gary Naglie, Alex Mihailidis, Jennifer Campos)
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