Ala Sarah Alaqra

<p>Karegar, F.,&nbsp;Alaqra, A.S., Fischer-Hübner, S. (2022). Exploring User-Suitable metaphors for differentially private data analyses. In&nbsp;<em>Eighteenth Symposium on Usable Privacy and Security</em>&nbsp;(SOUPS 2022), Boston, MA, August 2022. USENIX Association.</p>

<p>Alaqra, A.S.,&nbsp;Khumalo, A.C.&nbsp;(2022). Swedish Recreational Businesses Coping with&nbsp;COVID-19 Using Technologies. In: Stephanidis, C., Antona, M., Ntoa, S. (eds)&nbsp;<em>HCI International 2022 Posters. HCII 2022. Communications in Computer and Information Science</em>, vol 1582, pp. 349–357. Springer, Cham.&nbsp;<a href="https://doi.org/10.1007/978-3-031-06391-6_45">https://doi.org/10.1007/9…;

<p>Alaqra, A.S.,&nbsp;Kane, B.&nbsp;and Fischer-Hübner, S. (2021). Machine Learning–Based Analysis of Encrypted Medical Data in the Cloud: Qualitative Study of Expert Stakeholders’ Perspectives.&nbsp;<em>JMIR Human Factors</em>,&nbsp;<a href="https://humanfactors.jmir.org/2021/3/e21810"><em>8</em>(3):e21810</a>.<…;

<p>Alaqra, S.A., Kitkowska, A. (2021). Impact of Intrinsic Factors and COVID-19 Pandemic on the Use of Technology.&nbsp;<em>CHI’21 Extended Abstracts</em>, May 8–13, 2021, Yokohama, Japan. ACM.</p>