@inproceedings{elkomy2017chiea,
 abstract = {Assistive systems have become commercially available to help new workers or workers with cognitive disabilities to learn new tasks. However, continuous feedback systems can make the worker feel patronized or bored, which might influence their performance. We present ABBAS, a novel integration of four different bio-sensors into an assistive system, using in-situ projection for providing feedback and measuring workers' stress levels during assembly work tasks through bio-sensors in real-time. It adjusts work steps according to the worker's state. In two user studies, we assessed the suitability of different bio-sensors to detect the worker's stress level and showed the feasibility of GSR to create adaptive assistive systems that consider the workers' current physiological state. Finally, we discuss how integrating bio-sensors influences assistive systems and leads to both opportunities and challenges for assistive technology in general.},
 acmid = {3053179},
 address = {New York, NY, USA},
 author = {ElKomy, Mai and Abdelrahman, Yomna and Funk, Markus and Dingler, Tilman and Schmidt, Albrecht and Abdennadher, Slim},
 booktitle = {Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems},
 doi = {10.1145/3027063.3053179},
 isbn = {978-1-4503-4656-6},
 keywords = {adaptive assistive systems, biosensors, cognitive workload measurement},
 location = {Denver, Colorado, USA},
 numpages = {8},
 pages = {2543--2550},
 publisher = {ACM},
 series = {CHI EA '17},
 title = {ABBAS: An Adaptive Bio-sensors Based Assistive System},
 url = {https://www.unibw.de/usable-security-and-privacy/publikationen/pdf/elkomy2017chiea.pdf},
 year = {2017}
}