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of 41
pro vyhledávání: '"Kropczynski, Jess"'
Publikováno v:
Proceedings on Privacy Enhancing Technologies 2025
We conducted a 4-week field study with 101 smartphone users who self-organized into 22 small groups of family, friends, and neighbors to use ``CO-oPS,'' a mobile app for co-managing mobile privacy and security. We differentiated between those who pro
Externí odkaz:
http://arxiv.org/abs/2409.02364
Autor:
Akter, Mamtaj, Alghamdi, Leena, Gillespie, Dylan, Miazi, Nazmus, Kropczynski, Jess, Lipford, Heather, Wisniewski, Pamela
Smartphone users install numerous mobile apps that require access to different information from their devices. Much of this information is very sensitive, and users often struggle to manage these accesses due to their lack of tech expertise and knowl
Externí odkaz:
http://arxiv.org/abs/2404.10258
Autor:
Gyamfi, Emmanuel Kojo, ElSayed, Zag, Kropczynski, Jess, Yakubu, Mustapha Awinsongya, Elsayed, Nelly
By 2050, it is predicted that there will be 9 billion people on the planet, which will call for more production, lower costs, and the preservation of natural resources. It is anticipated that atypical occurrences and climate change will pose severe r
Externí odkaz:
http://arxiv.org/abs/2401.00814
Autor:
Akter, Mamtaj, Tabassum, Madiha, Miazi, Nazmus Sakib, Alghamdi, Leena, Kropczynski, Jess, Wisniewski, Pamela, Lipford, Heather
Mobile privacy and security can be a collaborative process where individuals seek advice and help from their trusted communities. To support such collective privacy and security management, we developed a mobile app for Community Oversight of Privacy
Externí odkaz:
http://arxiv.org/abs/2306.02289
Publikováno v:
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
We conducted a user study with 19 parent-teen dyads to understand the perceived benefits and drawbacks of using a mobile app that allows them to co-manage mobile privacy, safety, and security within their families. While the primary goal of the study
Externí odkaz:
http://arxiv.org/abs/2306.02287
This study aims to demonstrate the methods for detecting negations in a sentence by uniquely evaluating the lexical structure of the text via word-sense disambiguation. The proposed framework examines all the unique features in the various expression
Externí odkaz:
http://arxiv.org/abs/2302.02291
This study examines machine learning methods used in crisis management. Analyzing detected patterns from a crisis involves the collection and evaluation of historical or near-real-time datasets through automated means. This paper utilized the meta-re
Externí odkaz:
http://arxiv.org/abs/2302.02267
We conducted 26 co-design interviews with 50 smarthome device owners to understand the perceived benefits, drawbacks, and design considerations for developing a smarthome system that facilitates co-monitoring with emergency contacts who live outside
Externí odkaz:
http://arxiv.org/abs/2301.06652
Our research aims to highlight and alleviate the complex tensions around online safety, privacy, and smartphone usage in families so that parents and teens can work together to better manage mobile privacy and security-related risks. We developed a m
Externí odkaz:
http://arxiv.org/abs/2204.07749
Akademický článek
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