We cast a design view on the interactions that occur when humans face (interconnected) adaptive systems. As humans are also adaptive, the combined behavior of such systems and humans can exhibit various phenomena that are especially of concern to designers of adaptive systems dealing with the inherent complexity of systems, systems’ interfaces, interconnectivity, and other design factors. Based on examples of interactions between humans and systems at different levels of complexity, we propose a hierarchical taxonomy of increasingly complex challenges that system engineers will encounter when designing adaptive systems. Among adaptive systems, the taxonomy distinguishes closed and open systems, embodying processes that are unaware or aware, and finally, friendly and hostile. This taxonomy can be of use in designing these systems and their interfaces, as it helps to categorize the information needs of users. In fact, systems at various levels in the hierarchy need to offer certain cognitive affordances for users to operate these systems successfully. We illustrate how complex the information needs of users in these different situations can be, and formulate emerging design research questions. These could be of particular interest to designers who create intelligent systems, products, and related services in a societal context.
Published in | Automation, Control and Intelligent Systems (Volume 2, Issue 4) |
DOI | 10.11648/j.acis.20140204.12 |
Page(s) | 53-61 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2014. Published by Science Publishing Group |
Adaptive Systems, Human Behavior, Interfaces, Systems Design, Taxonomy
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APA Style
René Ahn, Emilia Barakova, Loe Feijs, Mathias Funk, Jun Hu, et al. (2014). Interfacing with Adaptive Systems. Automation, Control and Intelligent Systems, 2(4), 53-61. https://doi.org/10.11648/j.acis.20140204.12
ACS Style
René Ahn; Emilia Barakova; Loe Feijs; Mathias Funk; Jun Hu, et al. Interfacing with Adaptive Systems. Autom. Control Intell. Syst. 2014, 2(4), 53-61. doi: 10.11648/j.acis.20140204.12
AMA Style
René Ahn, Emilia Barakova, Loe Feijs, Mathias Funk, Jun Hu, et al. Interfacing with Adaptive Systems. Autom Control Intell Syst. 2014;2(4):53-61. doi: 10.11648/j.acis.20140204.12
@article{10.11648/j.acis.20140204.12, author = {René Ahn and Emilia Barakova and Loe Feijs and Mathias Funk and Jun Hu and Matthias Rauterberg}, title = {Interfacing with Adaptive Systems}, journal = {Automation, Control and Intelligent Systems}, volume = {2}, number = {4}, pages = {53-61}, doi = {10.11648/j.acis.20140204.12}, url = {https://doi.org/10.11648/j.acis.20140204.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20140204.12}, abstract = {We cast a design view on the interactions that occur when humans face (interconnected) adaptive systems. As humans are also adaptive, the combined behavior of such systems and humans can exhibit various phenomena that are especially of concern to designers of adaptive systems dealing with the inherent complexity of systems, systems’ interfaces, interconnectivity, and other design factors. Based on examples of interactions between humans and systems at different levels of complexity, we propose a hierarchical taxonomy of increasingly complex challenges that system engineers will encounter when designing adaptive systems. Among adaptive systems, the taxonomy distinguishes closed and open systems, embodying processes that are unaware or aware, and finally, friendly and hostile. This taxonomy can be of use in designing these systems and their interfaces, as it helps to categorize the information needs of users. In fact, systems at various levels in the hierarchy need to offer certain cognitive affordances for users to operate these systems successfully. We illustrate how complex the information needs of users in these different situations can be, and formulate emerging design research questions. These could be of particular interest to designers who create intelligent systems, products, and related services in a societal context.}, year = {2014} }
TY - JOUR T1 - Interfacing with Adaptive Systems AU - René Ahn AU - Emilia Barakova AU - Loe Feijs AU - Mathias Funk AU - Jun Hu AU - Matthias Rauterberg Y1 - 2014/09/10 PY - 2014 N1 - https://doi.org/10.11648/j.acis.20140204.12 DO - 10.11648/j.acis.20140204.12 T2 - Automation, Control and Intelligent Systems JF - Automation, Control and Intelligent Systems JO - Automation, Control and Intelligent Systems SP - 53 EP - 61 PB - Science Publishing Group SN - 2328-5591 UR - https://doi.org/10.11648/j.acis.20140204.12 AB - We cast a design view on the interactions that occur when humans face (interconnected) adaptive systems. As humans are also adaptive, the combined behavior of such systems and humans can exhibit various phenomena that are especially of concern to designers of adaptive systems dealing with the inherent complexity of systems, systems’ interfaces, interconnectivity, and other design factors. Based on examples of interactions between humans and systems at different levels of complexity, we propose a hierarchical taxonomy of increasingly complex challenges that system engineers will encounter when designing adaptive systems. Among adaptive systems, the taxonomy distinguishes closed and open systems, embodying processes that are unaware or aware, and finally, friendly and hostile. This taxonomy can be of use in designing these systems and their interfaces, as it helps to categorize the information needs of users. In fact, systems at various levels in the hierarchy need to offer certain cognitive affordances for users to operate these systems successfully. We illustrate how complex the information needs of users in these different situations can be, and formulate emerging design research questions. These could be of particular interest to designers who create intelligent systems, products, and related services in a societal context. VL - 2 IS - 4 ER -