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What Can Be Learnt from Engineering Safety Critical Partly-Autonomous Systems when Engineering Recommender Systems

Camille Fayollas, Célia Martinie, Philippe A. Palanque, Eric Barboni, Yannick Deleris
2016 ACM SIGCHI Symposium on Engineering Interactive Computing System  
Means for such designs include identifying functions (on the system side) and tasks (on the operator's side) and balancing the allocation of tasks and functions between operators and the systems being  ...  Human-Automation Design main target is to design systems in such a way that the couple system operator performs as efficiently as possible.  ...  Issue of transparency of automation has been also identified for recommender systems [14] while a process and a notation to systematically engineer transparency for partly-autonomous systems was proposed  ... 
dblp:conf/eics/FayollasMPBD16 fatcat:x3o2oreiuffwdazaq7diqn46e4

How to Design and Assess Automation for Interactive Applications and Interaction Techniques

Philippe Palanque
2022 CHI Conference on Human Factors in Computing Systems Extended Abstracts  
This course takes both a practical and theoretical approach to introduce the principles, methods and tools for automation design.  ...  Examples are taken from industries that have been embedding automation in their systems for a long time (such as aviation, automotive, satellite ground segments . . .) and interactive hands-on exercises  ...  Designing and Assessing Automation for Interactive Systems" [12] .  ... 
doi:10.1145/3491101.3503769 fatcat:d5wgafuk4bb5fmwbdijydjpida


H. Dybvik, E. Veitch, M. Steinert
2020 Proceedings of the Design Society: DESIGN Conference  
We discuss tasks, functions and interactions between human and machine.  ...  AbstractThe concept of remotely operated, unmanned, and autonomous ships is creating increasing interest in the maritime domain, promising safety, increased efficiency and sustainability.  ...  Acknowledgement The authors would like to thank interviewees for their time and contribution.  ... 
doi:10.1017/dsd.2020.131 fatcat:vlos4jo5ynfwvi56fpie4agp7m

Towards a legal definition of machine intelligence

Argyro Karanasiou, Dimitris Pinotsis
2017 Proceedings of the 16th edition of the International Conference on Articial Intelligence and Law - ICAIL '17  
in the interaction between the programmer, the user, and the algorithm; this can take various shapes and thus yield different answers to key issues regarding agency.  ...  The paper dissects the intricacies of Automated Decision Making (ADM) and urges for refining the current legal definition of AI when pinpointing the role of algorithms in the advent of ubiquitous computing  ...  Our thanks extend further to Roland Vogl and the CodeX group at Stanford Law School as well as to Helen Nissenbaum, Katherine Strandburg and the PRG community at the ILI, New York University, for providing  ... 
doi:10.1145/3086512.3086524 dblp:conf/icail/KaranasiouP17 fatcat:eic6tjr5rvaz7h2rc6wv6lh5ne

A study into the layers of automated decision-making: emergent normative and legal aspects of deep learning

Argyro P. Karanasiou, Dimitris A. Pinotsis
2017 International review of law computers & technology  
This in turn has also marked a shift from automated ML (aML) to interactive ML (iML) (Holzinger, 2016) , namely an almost seamless interaction between the machine and the operator.  ...  for Transport Code of Practise) has It is thus apparent that automated systems, such as autonomous vehicles, operate on several different degrees of automation, according to how much control is yielded  ... 
doi:10.1080/13600869.2017.1298499 fatcat:i5qrsn6jn5dmpcteqwhpnh2yse

The Roles and Modes of Human Interactions with Automated Machine Learning Systems [article]

Thanh Tung Khuat, David Jacob Kedziora, Bogdan Gabrys
2022 arXiv   pre-print
As automated machine learning (AutoML) systems continue to progress in both sophistication and performance, it becomes important to understand the 'how' and 'why' of human-computer interaction (HCI) within  ...  Ultimately, this review serves to identify key research directions aimed at better facilitating the roles and modes of human interactions with both current and future AutoML systems.  ...  General design guidelines for effective interactions between humans and learning systems [6] . 18 general design guidelines [6] .  ... 
arXiv:2205.04139v1 fatcat:kfo3oybsjvfs5gjyt2j3dbaali

Influence of meta-information on decision-making: Lessons learned from four case studies

Maria Riveiro, Tove Helldin, Goran Falkman
2014 2014 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)  
We summarize the results of these four case studies and discuss lessons learned for the design of future computerized support systems regarding the visualization of meta-information.  ...  that the visualization of various qualifiers associated to the proposals given by the support system have on air traffic operators carrying out identification tasks and (4) the effects that the presentation  ...  Such automation transparency may lead to better calibrated operator trust in the automated DSS, where known human-automation problems such as automation misuse and disuse may be avoided (see, e.g., [15  ... 
doi:10.1109/cogsima.2014.6816534 dblp:conf/cogsima/RiveiroHF14 fatcat:drdstgmm7zag7p2mznso2thlru

Designing technology in the age of digitalization: needs for technology assessment and ethics

Armin Grunwald
2019 Multidisciplinary Aspects of Production Engineering  
The need for designing and shaping digital future technologies involving ethics and technology assessment will be demonstrated by three examples: future industrial production and the fields of self-driving  ...  Technology design generally must take into account the values involved and possible consequences of the development and use of the resulting products, services, and systems.  ...  This applies to all forms of highly and partly automated driving, whereas fully automated or autonomous driving is not a problem here, since control is completely exerted by technology.  ... 
doi:10.2478/mape-2019-0060 fatcat:bkljfgwgzra77bsg5ffmwpcvmq

Overtrusting robots: Setting a research agenda to mitigate overtrust in automation

Alexander M. Aroyo, Jan de Bruyne, Orian Dheu, Eduard Fosch-Villaronga, Aleksei Gudkov, Holly Hoch, Steve Jones, Christoph Lutz, Henrik Sætra, Mads Solberg, Aurelia Tamò-Larrieux
2021 Paladyn: Journal of Behavioral Robotics  
A broad range of participants brought in their expertise, allowing the formulation of a forward-looking research agenda on overtrust and automation biases in robotics and autonomous systems.  ...  Moreover, little research exists on what happens when too much trust is placed in robots and autonomous systems. Conceptual clarity and a shared framework for approaching overtrust are missing.  ...  Such an endeavour will be crucial for assessing the inherent risks associated with these robots and autonomous systems.  ... 
doi:10.1515/pjbr-2021-0029 fatcat:lozo6p3gajcdrje2qeyastxqfu

Algorithmic governance

Christian Katzenbach, Lena Ulbricht
2019 Internet Policy Review  
Short case studies on predictive policy and automated content moderation show that algorithmic governance is multiple, contingent and contested.  ...  Recurrent controversies across all sectors such as datafication and surveillance, bias, agency and transparency indicate that the concept of algorithmic governance allows to bring objects of inquiry and  ...  Here, we reduce the gradual scale of involvement to the binary distinction between fully automated systems where decisions are not checked by a human operator, and recommender systems where human operators  ... 
doi:10.14763/2019.4.1424 fatcat:cz3ihqn77vhyhb25udw4c6zada

LEADOR: A Method for End-to-End Participatory Design of Autonomous Social Robots [article]

Katie Winkle, Emmanuel Senft, Séverin Lemaignan
2021 arXiv   pre-print
We present LEADOR (Led-by-Experts Automation and Design Of Robots) an end-to-end PD methodology for domain expert co-design, automation and evaluation of social robots.  ...  The extensive inclusion of the domain expert(s) in robot design represents established responsible innovation practice, lending credibility to the system both during the teaching phase and when operating  ...  studies and previous experiences that informed this work.  ... 
arXiv:2105.01910v2 fatcat:en3w46raujcl3oeuhcap6kixni

Innovation Potentials and Pathways Merging AI, CPS, and IoT

Matthias Klumpp
2018 Applied System Innovation  
Independent of physical production innovations (additive manufacturing) the information integration and decision autonomy tendencies themselves will drive new supply chain and customer interaction designs  ...  The question is not if further innovation and automation will happen but when-sooner than later-and how.  ...  For logistics, this may include for example the automated gearbox in truck driving, automated routing and navigation systems as well as automated intralogistics applications systems such as picking and  ... 
doi:10.3390/asi1010005 fatcat:rxqknvwg3jeq3m3bfivtr4nkx4

Levels of Automation for a Mobile Robot Teleoperated by a Caregiver [article]

Samuel Olatunji, Andre Potenza, Andrey Kiselev, Tal Oron-Gilad, Amy Loutfi, Yael Edan
2022 arXiv   pre-print
In order for such robots to be operated effectively and efficiently by non-technical users, it is important to examine if and how the robotic system's level of automation (LOA) impacts their performance  ...  The objective of this work was to develop suitable LOA modes for a mobile robotic telepresence (MRP) system for eldercare and assess their influence on users' performance, workload, awareness of the environment  ...  The autonomous system identifies areas that are safe for navigation and within which the operator can select an appropriate goal location.  ... 
arXiv:2107.09992v2 fatcat:5f56yjk37jeo5fkucfjvgivp5y

LEADOR: A Method for End-To-End Participatory Design of Autonomous Social Robots

Katie Winkle, Emmanuel Senft, Séverin Lemaignan
2021 Frontiers in Robotics and AI  
In this article, we present LEADOR (Led-by-Experts Automation and Design Of Robots), an end-to-end PD methodology for domain expert co-design, automation, and evaluation of social robot behaviour.  ...  The extensive inclusion of the domain expert(s) in robot design represents established responsible innovation practice, lending credibility to the system both during the teaching phase and when operating  ...  generalisable method based on their shared experiences, with all authors contributing to reflections on the foundational studies, resultant implications for the generalisable methodology and producing  ... 
doi:10.3389/frobt.2021.704119 pmid:34926589 pmcid:PMC8678512 fatcat:efflvkcglbhrdmax3gf52rzqhm

Perspectives on Future Power System Control Centers for Energy Transition

Antoine Marot, Adrian Kelly, Matija Naglic, Vincent Barbesant, Jochen Cremer, Alexandru Stefanov, Jan Viebahn
2022 Journal of Modern Power Systems and Clean Energy  
Reviewing upcoming challenges as well as emerging technologies for power systems, we present our vision of a new evolutionary architecture for control centers, both at backend and frontend levels.  ...  We assert that more transformative changes are needed, especially regarding humancentered design approaches, to enable control room operators to manage the future power system.  ...  Fluid, well-conceived, and more transparent interactions [91] will build up necessary trust between operators and assistant [92] .  ... 
doi:10.35833/mpce.2021.000673 fatcat:zjfxxuzcz5dgtiw65oe6qdp7ge
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