Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Malin Eiband"'
Publikováno v:
Multimodal Technologies and Interaction, Vol 2, Iss 3, p 45 (2018)
As mobile devices allow access to an increasing amount of private data, using them in public can potentially leak sensitive information through shoulder surfing. This includes personal private data (e.g., in chat conversations) and business-related c
Externí odkaz:
https://doaj.org/article/2f1081caab7d4e4c95152e6fc0ed8f08
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 12:1-27
The opaque nature of many intelligent systems violates established usability principles and thus presents a challenge for human-computer interaction. Research in the field therefore highlights the need for transparency, scrutability, intelligibility,
Publikováno v:
i-com. 21:157-174
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 ini
Publikováno v:
Mensch und Computer 2021.
We present a three-week within-subject field study comparing three mobile language learning (MLL) applications with varying levels of integration into everyday smartphone interactions: We designed a novel (1) UnlockApp that presents a vocabulary task
Publikováno v:
IUI
Unintended consequences of deployed AI systems fueled the call for more interpretability in AI systems. Often explainable AI (XAI) systems provide users with simplifying local explanations for individual predictions but leave it up to them to constru
Publikováno v:
IUI
The opaque nature of many intelligent systems violates established usability principles and thus presents a challenge for human-computer interaction. Research in the field therefore highlights the need for transparency, scrutability, intelligibility,
Publikováno v:
CHI
We present a dialogue elicitation study to assess how users envision conversations with a perfect voice assistant (VA). In an online survey, N=205 participants were prompted with everyday scenarios, and wrote the lines of both user and VA in dialogue
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f978dbe7614245913813aa5a49cf35dd
http://arxiv.org/abs/2102.13508
http://arxiv.org/abs/2102.13508
Publikováno v:
Human-Computer Interaction – INTERACT 2021 ISBN: 9783030856151
INTERACT (2)
INTERACT (2)
Software that uses Artificial Intelligence technology like Machine Learning is becoming ubiquitous with even more applications ahead. Yet, the very nature of these systems has made it very hard to understand how they operate, creating a demand for ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1aa7e8485ee731c7c37f229d0117cc5d
https://doi.org/10.1007/978-3-030-85616-8_38
https://doi.org/10.1007/978-3-030-85616-8_38
Publikováno v:
CHI
We present an in-depth analysis of the impact of multi-word suggestion choices from a neural language model on user behaviour regarding input and text composition in email writing. Our study for the first time compares different numbers of parallel s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cffcabad91b78f6fb0f72237ede3f3de
Publikováno v:
MobileHCI
Autonomous vehicles are complex systems that may behave in unexpected ways. From the drivers’ perspective, this can cause stress and lower trust and acceptance of autonomous driving. Prior work has shown that explanation of system behavior can miti