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Special Issues

Jump to: Upcoming Special Issues.

General Guidelines

This set of general guidelines is aimed to help potential Guest Editors (GEs) to initiate and to complete the editing of a special issue (SI). When proposing a special issue, GEs are advised to consult the scope of IEEE Transactions on Human-Machine Systems (THMS) to assess topic suitability. The THMS Editor-in-Chief (EiC), the THMS associate editors (AEs), and the IEEE Systems, Man and Cybernetics Society (SMCS) Vice President for Human-Machine Systems are good resources to help potential GEs with addressing topic suitability.

Once the GEs have decided to propose a special issue, they are to provide the Editor-in-Chief with the following material:

  • A brief description of the scope of the proposed special issue
  • A brief description of the state-of-the-art in the proposed area and justification for why the proposed SI could be of interest to the THMS readership (including what gaps there are in the published literature)
    • Please note that the GEs will be expected to write an editorial that will lead the rest of the papers in the SI. This description should be written with an eye toward that editorial.
  • A brief biography for each Guest Editor with emphasis on research experience and previous editorial experience. Please note that the SMC Society strives for geographic diversity in the set of SI GEs.
  • A Call for Papers (CFP): a draft one-page CFP which includes a brief description of the proposed SI and pertinent deadlines (with suggested dates for initial submissions, notification of first review, revised submissions, notification of final review, final manuscript, expected publication
  • Names of possible contributors (if available at the time of submission)

The Editor-in-Chief makes a decision as to the acceptance of the proposal after consultation with current Associate Editors whose areas of expertise coincide or significantly overlap with the main subject of the Special Issue. Additional material could be requested as part of this process.

Once the SI's acceptance decision has been made, the CFP will be published in THMS. The Guest Editors will be encouraged to promote the SI using additional appropriate communication means.

The Guest Editors will be given Associate Editor access to the manuscript submission website in order to manage the reviewing of submissions. Each manuscript should be reviewed according to the general THMS process.

Please note that papers written by the GEs (with the exception of the editorial mentioned above) will be discouraged by the EiC. However, they could be considered for other issues of THMS.

Please note that once the Guest Editors make a final recommendation to accept manuscripts as part of the SI, the EiC will coordinate with the GE(s) as the final decision is made by Editor-in-Chief and communicated to the authors.


Upcoming

Special Issue on Holistic Approaches for Human-Vehicle Systems: Combining Models, Interactions and Control

Ground vehicles operate in a complex human–vehicle–road environment involving numerous levels of interaction among drivers, vehicles, and the ambient within which they travel. Human drivers may be “intelligent controllers” that define the intended driving direction and/or operate (totally or partially) autonomous vehicles. To support the development of safe driver-vehicle interactions in an era of increasing automation, methods for modeling and analyzing the contribution of driver performance are critical and essential. This raises interesting challenges associated with the characterization and modeling of human behaviors, particularly with respect to cognition and neuromuscular dynamics, their implication in closed-loop driver–vehicle performance, and their induced modifications brought about by interaction with the surrounding environment. Specifically, holistic approaches are of interest, which aim at efficiently and quantitatively combine different aspects of the human-vehicle interaction in specific application domains.

Guest Editors:

  • This email address is being protected from spambots. You need JavaScript enabled to view it., Politecnico di Milano, Italy
  • This email address is being protected from spambots. You need JavaScript enabled to view it., Cranfield University, United Kingdom
  • This email address is being protected from spambots. You need JavaScript enabled to view it., Universidad Politécnica de Cartagena, Spain
  • This email address is being protected from spambots. You need JavaScript enabled to view it., Montana State University–Bozeman, United States

Paper submissions are due June 15, 2016.
This issue will be published in 2017.

Download the Call for Papers (PDF).


Special Issue on Situation, Activity and Goal Awareness in Cyber-physical Human-Machine Systems

Recent advances in sensing technologies, the Internet of Things, pervasive computing and smart environments have led to a new wave of cyber-physical applications. These applications require human-machine systems to support context awareness, learning and cognitive capabilities, personalization and adaptation. Intelligent analysis and semantic interpretation of events, behaviors, and environmental states are key to the success of such cyber-physical human-machine systems. There has been a shift of sensor observation modeling, representation, interpretation and usage, namely from low-level raw observation data and their direct/hardwired usage, data aggregation and fusion, to high-level formal context modeling, activity recognition and behavior analysis and change detection. It is envisioned that this trend will continue towards a further higher level of abstraction, achieving situation, activity and goal awareness to facilitate enhanced human-machine systems and human-system interaction. This special issue focuses on decision support systems where sensor data analysis enables inferring situations, activities and goals. It solicits theory and application with system prototyping and human participant evaluations.

Guest Editors:

  • This email address is being protected from spambots. You need JavaScript enabled to view it., De Montfort University, UK
  • This email address is being protected from spambots. You need JavaScript enabled to view it., Washington State University, USA
  • This email address is being protected from spambots. You need JavaScript enabled to view it., Northwestern Polytechnical University, China
  • This email address is being protected from spambots. You need JavaScript enabled to view it., Ecole Centrale de Lyon, France
  • This email address is being protected from spambots. You need JavaScript enabled to view it., Norsk Regnesentral (NR), Norway

Paper submissions were due February 28, 2016.

Download the Call for Papers (PDF).


Special Issue on: Wearable and Ego-vision Systems for Augmented Experience

The rapid progress in the development of low-level component technologies such as wearable cameras, wearable sensors, wearable displays and wearable computers is making it possible to augment everyday living. Wearable and egocentric vision systems can be exploited to analyze multi-modal data types (e.g. video, audio, motion) and to support understanding human interactions with the world (including gesture recognition, action recognition, social interaction recognition). Based on the processing of such data, wearable systems can be used to enhance our capabilities and augment our perception. State-of-the-art techniques for wearable sensing can support assistive technologies and advanced perception. This special issue intends to highlight research in support for human performance through egocentric sensing.

Guest Editors:

  • This email address is being protected from spambots. You need JavaScript enabled to view it., University of Modena and Reggio Emilia, Italy
  • This email address is being protected from spambots. You need JavaScript enabled to view it., University of Modena and Reggio Emilia, Italy
  • This email address is being protected from spambots. You need JavaScript enabled to view it., Carnegie Mellon University, USA
  • This email address is being protected from spambots. You need JavaScript enabled to view it., University of Zaragoza, Spain

Paper submissions were due October 1, 2015.
This issue will be published in 2016.

Download the Call for Papers (PDF).


Special Issue on: Drawing and Handwriting Processing for User-Centered Systems

There has been significant progress in the automatic processing of handwriting and drawing, especially in computational models to generate, analyze and recognize pen tip and gesture trajectories in various applications. While it was thought that manuscript production would decrease with the dissemination of computers, today the trend is reversed with the boom of new touch and pen-based interactive devices. Progress in automatic processing of handwriting and drawing, both on-line and off-line, opens real opportunities to produce a true "graphonomics" continuum from paper to digital practices. One key challenge is to bring pattern recognition into reality with applications, taking advantage of the implicit or explicit human-machine interactions.

In this special issue, we invite new and original scientific work taking into account the user in the drawing and handwriting processes in terms of usability, efficiency, collaboration, interaction, cross-learning, and related topics. Consequently, papers are solicited that cross the various communities studying these important and complex human-machine relationships in "graphonomics" fields: pattern recognition, humanities, neuroscience, arts - by considering human centered point of views to design, model and test new advances in these research areas.

Guest Editors:

  • This email address is being protected from spambots. You need JavaScript enabled to view it., IRISA Laboratory, INSA de Rennes
  • This email address is being protected from spambots. You need JavaScript enabled to view it., Università degli Studi di Bari "Aldo Moro"
  • This email address is being protected from spambots. You need JavaScript enabled to view it., Laboratoire Scribens, École Polytechnique de Montréal

Paper submissions were due October 15, 2015.
This issue will be published in 2016.

Download the Call for Papers (PDF).


Past

Special Issue on Systematic Approaches to Human-Machine Interface: Improving Resilience, Robustness, and Stability

Remote mission management, unmanned aircraft systems, NextGen operations in the U.S. and its Sesar counterparts in Europe, and other similarly integrated systems of systems include complex human-machine systems with high levels of autonomy and team dynamics that are difficult to understand and analyze. It is important to develop techniques that facilitate a better characterization of the behaviors and performance of these complex systems, first in the lab, and then in the field. Techniques including formal verification, cognitive modeling, and task analysis are being explored in several disciplines. These efforts strive to quantify resilience, robustness, stability, and other properties of these complex systems. This special issue solicits interdisciplinary works that cross the various communities studying these important and complex human-machine interactions. The issue aims to explore key research areas that impact the properties of these systems which rely on varied degrees of human and machine interactions.

Guest Editors:

  • This email address is being protected from spambots. You need JavaScript enabled to view it., Brigham Young University
  • This email address is being protected from spambots. You need JavaScript enabled to view it., NASA Ames Research Center
  • This email address is being protected from spambots. You need JavaScript enabled to view it., North Carolina State University

Paper submissions were due May 1, 2014.
This issue will be published in 2015.

Download archival Call for Papers (PDF).


Special Issue on Ambient Assisted Living – Sensors, Methods, and Applications

This special issue on Ambient Assisted Living (AAL) focuses on the use of information and communication technologies (ICT) to support a person’s activities of daily living (ADL) thus allowing the person to remain independent for a longer period of time. AAL systems range from simple systems such as reminder systems to sophisticated smart environments. A smart home can monitor and assist a person with ADLs by integrating sensors embedded in the environment that can extract information pertaining to the person’s health and well-being. Sensing technology can be embedded in objects, in the environment or worn on the person. Sensor data are analysed to recognise and track activity and to infer the person's physical and/or cognitive status.

Guest Editors:

  • This email address is being protected from spambots. You need JavaScript enabled to view it., BRL, University of West of England, U.K.
  • This email address is being protected from spambots. You need JavaScript enabled to view it., Kingston University, U.K.
  • This email address is being protected from spambots. You need JavaScript enabled to view it., Kingston University, U.K.

Paper submissions were due March 1, 2014.
This issue will be published in 2015.

Download archival Call for Papers (PDF).


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