Adna Bliek

Adna Bliek
Friedrich-Alexander-University of Erlangen-Nürnberg | FAU · Department of Electrical, Electronic and Communication Engineering

Master of Science

About

7
Publications
289
Reads
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8
Citations
Citations since 2017
7 Research Items
8 Citations
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Introduction
Adna Bliek is currently a doctoral candidate at the chair of Autonomous Systems at the Departments Electrical Engineering of FAU Erlangen-Nürnberg (www.asm.tf.fau.de/person/adna-bliek/). She received her Master’s degree in Artificial Intelligence majoring in Robotics at the University of Groningen in 2020. She did a research internship at Umea University in Sweden working on her Master’s thesis, for which she received the Frauen-MINT-Award.

Publications

Publications (7)
Article
Full-text available
People with neuromuscular diseases often experience limited upper limb mobility, which makes the handling of standard computer mice and keyboards difficult. Due to the importance of computers in private and professional life, this work aims at implementing an alternative mouse and keyboard interface that will allow for their efficient use by people...
Conference Paper
People with motor disabilities of neuromuscular origin often struggle with operating the computer through a commercially available mouse and QWERTY keyboard. This work presents an alternative mouse and keyboard interface, which is personalizable to meet the individual needs of the target population to allow a more efficient use of the computer. The...
Article
Full-text available
Using the seminal rubber hand illusion and related paradigms, the last two decades unveiled the multisensory mechanisms underlying the sense of limb embodiment, that is, the cognitive integration of an artificial limb into one's body representation. Since also individuals with amputations can be induced to embody an artificial limb by multimodal se...
Article
Full-text available
Generalizing the operation of robots in dynamical environments regardless of the task complexity is one of the ultimate goals of robotics researchers. Learning from demonstration approaches supported by transfer learning and user feedback offer a remarkable solution to achieve generalization. The main idea behind such approaches is teaching robots...
Conference Paper
In human communication, backchanneling is an important part of the natural interaction protocol. The purpose is to signify the listener's attention, understanding, agreement, or to indicate that a speaker should go on talking. While the effects of backchanneling robots on humans have been investigated, studies of how and when humans backchannel to...
Thesis
During human conversations, information is not only conveyed by the speaker but also by the listener. For this, the listener is using backchannel feedback. Backchanneling can be done verbal or non-verbal and is a key aspect of human conversation, it shows listener attention and contributes to a more fluent interaction. In recent years, the effect o...

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