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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 6, 2013.
Abstract: To receive valuable information about expected reliability in everyday technologies compared to Ambient Assisted Living (AAL) technologies, an online survey was conducted including five everyday (train, dishwasher, navigation system, computer, mobile phone) and three AAL (stove, window, floor sensors) technologies. The age range of the 206 participants (109 men; 97 female) was from 14 to 88 years (mean=38.0). The descriptive analysis indicates expected reliabilities of more than 90% for most technologies. Only train punctuality is considered as less reliable with a mean expected reliability of 86%. Furthermore, by using t-tests it can be shown that the three AAL technologies are expected to have a higher reliability than the everyday technologies. Additionally, a sample split at the age of 50 years indicates that elderly participants expect that technologies have a higher reliability than younger participants do. Using these findings, in a next step an experiment with different reliability levels of AAL technologies will be designed. This differentiation will be used to measure the influence of reliability on trust and intention to use in context of Ambient Assisted Living.
Frederick Steinke, Tobias Fritsch, Andreas Hertzer, Helmut Tautz and Simon Zickwolf, “Expected Reliability of Everyday- and Ambient Assisted Living Technologies” International Journal of Advanced Computer Science and Applications(IJACSA), 4(6), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040603
@article{Steinke2013,
title = {Expected Reliability of Everyday- and Ambient Assisted Living Technologies},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040603},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040603},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {6},
author = {Frederick Steinke and Tobias Fritsch and Andreas Hertzer and Helmut Tautz and Simon Zickwolf}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.