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Auflistung nach Autor:in "Mitrevska, Teodora"

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  • Zeitschriftenartikel
    Broadening the mind: how emerging neurotechnology is reshaping HCI and interactive system design
    (i-com: Vol. 23, No. 2, 2024) Schneegass, Christina; Wilson, Max L.; Shaban, Jwan; Niess, Jasmin; Chiossi, Francesco; Mitrevska, Teodora; Woźniak, Paweł W.
    People are increasingly eager to know more about themselves through technology. To date, technology has primarily provided information on our physiology. Yet, with advances in wearable technology and artificial intelligence, the current advent of consumer neurotechnology will enable users to measure their cognitive activity. We see an opportunity for research in Human-Computer Interaction (HCI) in the development of these devices. Neurotechnology offers new insights into user experiences and facilitates the development of novel methods in HCI. Researchers will be able to create innovative interactive systems based on the ability to measure cognitive activity at scale in real-world settings. In this paper, we contribute a vision of how neurotechnology will transform HCI research and practice. We discuss how neurotechnology prompts a discussion about ethics, privacy, and trust. This trend highlights HCI’s crucial role in ensuring that neurotechnology is developed and utilised in ways that truly benefit people.
  • Zeitschriftenartikel
    UnlockLearning – Investigating the Integration of Vocabulary Learning Tasks into the Smartphone Authentication Process
    (i-com: Vol. 21, No. 1, 2022) Schneegass, Christina; Sigethy, Sophia; Mitrevska, Teodora; Eiband, Malin; Buschek, Daniel
    Frequent repetition of vocabulary is essential for effective language learning. To increase exposure to learning content, this work explores the integration of vocabulary tasks into the smartphone authentication process. We present the design and initial user experience evaluation of twelve prototypes, which explored three learning tasks and four common authentication types. In a three-week within-subject field study, we compared the most promising concept as mobile language learning (MLL) applications to two baselines: We designed a novel (1) UnlockApp that presents a vocabulary task with each authentication event, nudging users towards short frequent learning session. We compare it with a (2) NotificationApp that displays vocabulary tasks in a push notification in the status bar, which is always visible but learning needs to be user-initiated, and a (3) StandardApp that requires users to start in-app learning actively. Our study is the first to directly compare these embedding concepts for MLL, showing that integrating vocabulary learning into everyday smartphone interactions via UnlockApp and NotificationApp increases the number of answers. However, users show individual subjective preferences. Based on our results, we discuss the trade-off between higher content exposure and disturbance, and the related challenges and opportunities of embedding learning seamlessly into everyday mobile interactions.