Roodabeh Seif
Vita
Roodabeh’s research portfolio encompasses various facets of technology. She has explored path planning for non-holonomic mobile robots in indoor environments and published a research paper titled ‚Mobile Robot Path Planning by RRT* in Dynamic Environments‘ in 2016. Her extensive work also extends to the e-VITA project from 2020 to 2023. During this period, she developed a prototype application linked to the NeU device, focusing on enhancing cognitive abilities in the elderly through real-time cognitive performance feedback during computer games and meditation, specifically within their private homes.
Currently, Roodabeh is a researcher in the CrosscomITS project. Her professional responsibilities within this project encompass communication establishment with vulnerable groups, research data collection through interviews, surveys, and workshops, and contributing to the development of application contexts. Roodabeh actively participates in participatory design workshops, oversees the iterative design process, and evaluates solutions for usability and feasibility. Her academic contributions extend to publications in conferences and journals, further advancing knowledge in her field.
Publikationen
2024
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Seif, R., Veisi, O., Wieching, R. & Wulf, V. (2024)Prototyping and Evaluating Bo App: A brain measurement device as a feedback tool for cognitive training
IN OzCHI2024
[BibTeX] [Abstract] [Download PDF]Each year, the number of older adults with mild cognitive impairment (MCI) increases; their aging process negatively impacts their subjective and emotional well-being and quality of life. Artifacts from the digital world could play a significant role in preventing or reversing MCI. This study developed a smartphone application prototype, known as the Bo app, that utilizes a Functional Near-Infrared Spectroscopy (fNIRs) sensor to provide biofeedback during cognitive interventions. The goal was to coach older adults to conduct unsupervised and regular cognitive training sessions at home. It was found that designing minimalist apps kept users focused, while various feedback mechanisms, such as real-time biofeedback, daily feedback, monthly feedback, and competitive feedback, encouraged regular cognitive training sessions. The participatory design approach enabled users to benefit from smartphone applications tailored to their preferences, expectations, and needs, encouraging them to be more productive and creative.
@article{seif_prototyping_2024, title = {Prototyping and {Evaluating} {Bo} {App}: {A} brain measurement device as a feedback tool for cognitive training}, url = {https://outbox.eait.uq.edu.au/uqsville/OzCHI2024/Late%20Breaking%20Works/Prototyping%20and%20Evaluating%20Bo%20App%20-%20A%20brain%20measurement%20device%20as%20a%20feedback%20tool%20for%20cognitive%20training.pdf}, abstract = {Each year, the number of older adults with mild cognitive impairment (MCI) increases; their aging process negatively impacts their subjective and emotional well-being and quality of life. Artifacts from the digital world could play a significant role in preventing or reversing MCI. This study developed a smartphone application prototype, known as the Bo app, that utilizes a Functional Near-Infrared Spectroscopy (fNIRs) sensor to provide biofeedback during cognitive interventions. The goal was to coach older adults to conduct unsupervised and regular cognitive training sessions at home. It was found that designing minimalist apps kept users focused, while various feedback mechanisms, such as real-time biofeedback, daily feedback, monthly feedback, and competitive feedback, encouraged regular cognitive training sessions. The participatory design approach enabled users to benefit from smartphone applications tailored to their preferences, expectations, and needs, encouraging them to be more productive and creative.}, language = {en}, journal = {OzCHI2024}, author = {Seif, Roodabeh and Veisi, Omid and Wieching, Rainer and Wulf, Volker}, year = {2024}, }