Artificial Cognitive Systems for Assistance in Traffic, Industry, and Automatization

  in Special Issue   Posted on June 15, 2019

Information for the Special Issue

Submission Deadline: Tue 15 Oct 2019
Journal Impact Factor : 1.182
Journal Name : Cognitive Systems Research
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Special Issue Call for Papers:

This special issue of \”Cognitive Systems Research“ invites submissions addressing questions on how artificial cognitive systems for assistance in traffic, industry, and automatization should and could be designed, developed, and evaluated. Technical assistance systems, that is, artificial systems that generally support or help human users in specific tasks, have significantly advanced in the last years as they are becoming more and more widespread. For example, all modern vehicles are equipped with intelligent driver assistance systems, mobile devices feature voice-based personal assistants, operators in air traffic control are supported by technical systems with different degrees of autonomy, and workers in manufacturing settings are expected to collaborate with robots and automation system interfaces. As a result, humans come to interact with technical assistance systems on a daily basis, in everyday and professional life. This raises important questions in two inter-related domains specifically addressed with this special issue:

1. How to analyze and model the interaction process between users and assistance systems? How do humans understand, utilize and rely on them? And how should assistance systems present themselves in continuous communication with their users?

2. What key features and abilities do cognitive assistance systems need to have? How can they represent, reason about, and predict the relevant states of the user, the situation and the current task at a required level of detail? And how can modern approaches to learning and adaptation yield better cognitive assistance systems?

A considerable body of research has looked at these issues based on long established methods from fields such as planning, automated reasoning, or cognitive modeling. These classical cognitive approaches are increasingly complemented, if not replaced, by new kinds of assistance systems relying on the use of data-based machine learning. However, it is an open question which kind of methods, or combination thereof, will yield the machine intelligence that is required for robust, efficient and acceptable assistance with human users. Very recent approaches are starting to return to more cognitive, model-based approaches and their integration with data-based techniques to enable, e.g., human-like generalization, zero-shot learning, or more intuitive human-machine interaction. At the same time, the human-aware design of such systems and the need to guarantee (re-)liable A.I.-based assistance systems, both at the individual scale as well as at the societal scale, is reflected in a burgeoning interest in transparency and explainability.

We invite submission of articles presenting original approaches, studies, or findings on how cognitive assistance systems for traffic, industry, or automatization should and could be designed, developed, and evaluated. Submissions of new research ideas are encouraged in this special issue, related but not limited to the following topics:

  • Situation awareness in dynamic environments with human users/operators
  • Architectures and techniques for robustness and reliability
  • Learning and adaptation in assistance systems
  • Deep cognitive or affective user models
  • Measurement or recognition of cognitive load, emotions, or affect
  • Models of planning and decision-making for assistance
  • Shared or adjusted autonomy in human-agent/robot teamwork
  • Hand-over of control
  • Mixed-initiative, multimodal communication and collaboration
  • Empirical studies on user acceptance and usability of assistance systems
  • Evaluation measures and methodologies for cognitive assistance systems
  • Models for human-machine collaboration
  • User trust in assistance systems

Important Dates:

• Deadline for paper submission: October 15, 2019

• First notification for authors: November 30, 2019

• Deadline for revised papers submission: December 31, 2019

• Final notification for authors: February 15, 2019

Submission Guideline:

Authors should prepare their manuscript according to the \”Guide for Authors\” available at the journal homepage:

Papers should be submitted through the EVISE system: Please select \”VSI: Cogn. Assistance Systems\” as the article type name when submitting your paper.

Guest Editors:

Dr. Stefan Kopp, Bielefeld University
Dr. Anette Kluge, University Duisburg-Essen
Dr. Dirk Soeffker, University Duisburg-Essen
Dr. Andreas Wendemuth, University Magdeburg

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