User profiles for Christina Schneegass
Christina SchneegassDelft University of Technology Verified email at tudelft.nl Cited by 221 |
What is" intelligent" in intelligent user interfaces? a meta-analysis of 25 years of IUI
This reflection paper takes the 25th IUI conference milestone as an opportunity to analyse in
detail the understanding of intelligence in the community: Despite the focus on intelligent UIs…
detail the understanding of intelligence in the community: Despite the focus on intelligent UIs…
Safeguarding crowdsourcing surveys from chatgpt with prompt injection
ChatGPT and other large language models (LLMs) have proven useful in crowdsourcing tasks,
where they can effectively annotate machine learning training data. However, this means …
where they can effectively annotate machine learning training data. However, this means …
Informing the design of user-adaptive mobile language learning applications
C Schneegass, N Terzimehić, M Nettah… - Proceedings of the 17th …, 2018 - dl.acm.org
Smartphones enable people to learn new languages whenever and wherever they want. This
popularized mobile language learning apps (MLLAs) and in particular micro learning that …
popularized mobile language learning apps (MLLAs) and in particular micro learning that …
Understanding challenges and opportunities of technology-supported sign language learning
Around 466 million people in the world live with hearing loss, with many benefiting from
sign language as a mean of communication. Through advancements in technology-supported …
sign language as a mean of communication. Through advancements in technology-supported …
The Future of Cognitive Personal Informatics
While Human-Computer Interaction (HCI) has contributed to demonstrating that physiological
measures can be used to detect cognitive changes, engineering and machine learning will …
measures can be used to detect cognitive changes, engineering and machine learning will …
Comparing concepts for embedding second-language vocabulary acquisition into everyday smartphone interactions
C Schneegass, S Sigethy, M Eiband… - Proceedings of Mensch …, 2021 - dl.acm.org
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…
(MLL) applications with varying levels of integration into everyday smartphone interactions…
Designing task resumption cues for interruptions in mobile learning scenarios
C Schneegass, F Draxler - Technology-Augmented Perception and …, 2021 - Springer
Learning on a mobile device in everyday settings makes users particularly susceptible for
interruptions. Guidance (memory) cues can be implemented to support users in resuming a …
interruptions. Guidance (memory) cues can be implemented to support users in resuming a …
Broadening the mind: how emerging neurotechnology is reshaping HCI and interactive system design
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 …
technology has primarily provided information on our physiology. Yet, with advances in …
BrainCoDe: Electroencephalography-based comprehension detection during reading and listening
The pervasive availability of media in foreign languages is a rich resource for language
learning. However, learners are forced to interrupt media consumption whenever …
learning. However, learners are forced to interrupt media consumption whenever …
UnlockLearning–Investigating the Integration of Vocabulary Learning Tasks into the Smartphone Authentication Process
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 …
exposure to learning content, this work explores the integration of vocabulary tasks into the …