scholarly journals Augmenting Visual Image Configuration in a Simulated Digital Periscope Human-Machine Interface

2021 ◽  
Author(s):  
Stephanie Michailovs ◽  
Jessica Irons ◽  
Zachary L Howard ◽  
Stephen Pond ◽  
Megan Schmitt ◽  
...  
Keyword(s):  
Visual Information ◽  
Visual Image ◽  
Human Machine Interaction ◽  
Analysis Tools ◽  
Perceived Workload ◽  
Machine Interface ◽  
Perceived Usability ◽  
And Performance ◽  
Digital Human ◽  
Machine Interaction

Advances in opto-electronics enables replacement of traditional periscopes which display only a portion of the horizon, with digital periscopes, which can potentially display a full 360° panoramic digital representation of the horizon. The advantages of an increased field of view (FOV) might include reducing memory requirements and being better able to integrate visual information over time. Another potential advantage of moving to digital human-machine interaction concepts is that they can be paired with digital aids that can replace or simplify tasks traditionally performed manually. This study compared a low- FOV visual concept to a high-FOV concept (Experiment 1), and then traditional analysis tools with digitized analysis tools (Experiment 2). The high-FOV concept and digitized tools provided a range of perceived workload, perceived usability, and performance benefits, and we conclude that digitally augmenting the periscope concept, including exploiting a panoramic display and digitized analysis tools, can support key submariner tasks.

scholarly journals Empathy and Human-Machine Interaction

2013 ◽  
Vol 4 (2) ◽  
pp. 8-21
Author(s):  
Florence Gouvrit
Keyword(s):  
Human Machine Interaction ◽  
Presence And Absence ◽  
And Performance ◽  
Machine Interaction

This paper presents the framework of the author’s practice and research exploring empathy and human-machine interaction in projects involving robotic art and video installations and performance. The works investigate emotions and embodiment, presence and absence, relationships and loss, and ways to implicate these ideas in encounters between technology-based artwork and the viewer.

Workload and Performance: Associations, Insensitivities, and Dissociations

2018 ◽  
Vol 61 (3) ◽  
pp. 374-392 ◽  
Author(s):  
P. A. Hancock ◽  
Gerald Matthews
Keyword(s):  
Subjective Experience ◽  
Conscious Experience ◽  
Physiological Reactivity ◽  
Human Machine Interaction ◽  
Objective Performance ◽  
Self Reports ◽  
Practical Design ◽  
Future Prediction ◽  
And Performance ◽  
Machine Interaction

Objective: The aim of this study was to distill and define those influences under which change in objective performance level and the linked cognitive workload reflections of subjective experience and physiological variation either associate, dissociate, or are insensitive, one to another. Background: Human factors/ergonomics frequently employs users’ self-reports of their own conscious experience, as well as their physiological reactivity, to augment the understanding of changing performance capacity. Under some circumstances, these latter workload responses are the only available assessment information to hand. How such perceptions and physiological responses match, fail to match, or are insensitive to the change in primary-task performance can prove critical to operational success. The reasons underlying these associations, dissociations, and insensitivities are central to the success of future effective human–machine interaction. Method: Using extant research on the relations between differing methods of workload assessment, factors influencing their association, dissociation, and insensitivity are identified. Results: Dissociations and insensitivities occur more frequently than extant explanatory theories imply. Methodological and conceptual reasons for these patterns of incongruity are identified and evaluated. Application: We often seek convergence of results in order to provide coherent explanations as bases for future prediction and practical design implementation. Identifying and understanding the causes as to why different reflections of workload diverge can help practitioners toward operational success.

Social stress and performance in human-machine interaction: a neglected research field

Ergonomics ◽  
2019 ◽  
Vol 62 (11) ◽  
pp. 1377-1391 ◽  
Author(s):  
Juergen Sauer ◽  
Sven Schmutz ◽  
Andreas Sonderegger ◽  
Nadine Messerli
Keyword(s):  
Social Stress ◽  
Research Field ◽  
Human Machine Interaction ◽  
And Performance ◽  
Machine Interaction

scholarly journals A Robust and Wearable Triboelectric Tactile Patch as Intelligent Human-Achine Interface

Materials ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6366
Author(s):  
Zhiyuan Hu ◽  
Junpeng Wang ◽  
Yan Wang ◽  
Chuan Wang ◽  
Yawei Wang ◽  
...  
Keyword(s):  
Information Exchange ◽  
Triboelectric Nanogenerator ◽  
Wearable Electronics ◽  
Human Machine Interaction ◽  
Stable Performance ◽  
Machine Interface ◽  
Self Powered ◽  
Machine Interaction ◽  
Stable Signal ◽  
Processing Circuit

The human–machine interface plays an important role in the diversified interactions between humans and machines, especially by swaping information exchange between human and machine operations. Considering the high wearable compatibility and self-powered capability, triboelectric-based interfaces have attracted increasing attention. Herein, this work developed a minimalist and stable interacting patch with the function of sensing and robot controlling based on triboelectric nanogenerator. This robust and wearable patch is composed of several flexible materials, namely polytetrafluoroethylene (PTFE), nylon, hydrogels electrode, and silicone rubber substrate. A signal-processing circuit was used in this patch to convert the sensor signal into a more stable signal (the deviation within 0.1 V), which provides a more effective method for sensing and robot control in a wireless way. Thus, the device can be used to control the movement of robots in real-time and exhibits a good stable performance. A specific algorithm was used in this patch to convert the 1D serial number into a 2D coordinate system, so that the click of the finger can be converted into a sliding track, so as to achieve the trajectory generation of a robot in a wireless way. It is believed that the device-based human–machine interaction with minimalist design has great potential in applications for contact perception, 2D control, robotics, and wearable electronics.

Simultaneous 3D Motion Detection, Long-Term Tracking and Model Reconstruction for Multi-Objects

2019 ◽  
Vol 16 (04) ◽  
pp. 1950017
Author(s):  
Sheng Liu ◽  
Yangqing Wang ◽  
Fengji Dai ◽  
Jingxiang Yu
Keyword(s):  
3D Reconstruction ◽  
Object Tracking ◽  
Motion Detection ◽  
Visual Information ◽  
Detection Accuracy ◽  
Human Machine Interaction ◽  
Reconstruction Process ◽  
3D Motion ◽  
Machine Interaction

Motion detection and object tracking play important roles in unsupervised human–machine interaction systems. Nevertheless, the human–machine interaction would become invalid when the system fails to detect the scene objects correctly due to occlusion and limited field of view. Thus, robust long-term tracking of scene objects is vital. In this paper, we present a 3D motion detection and long-term tracking system with simultaneous 3D reconstruction of dynamic objects. In order to achieve the high precision motion detection, an optimization framework with a novel motion pose estimation energy function is provided in the proposed method by which the 3D motion pose of each object can be estimated independently. We also develop an accurate object-tracking method which combines 2D visual information and depth. We incorporate a novel boundary-optimization segmentation based on 2D visual information and depth to improve the robustness of tracking significantly. Besides, we also introduce a new fusion and updating strategy in the 3D reconstruction process. This strategy brings higher robustness to 3D motion detection. Experiments results show that, for synthetic sequences, the root-mean-square error (RMSE) of our system is much smaller than Co-Fusion (CF); our system performs extremely well in 3D motion detection accuracy. In the case of occlusion or out-of-view on real scene data, CF will suffer the loss of tracking or object-label changing, by contrast, our system can always keep the robust tracking and maintain the correct labels for each dynamic object. Therefore, our system is robust to occlusion and out-of-view application scenarios.

Designing Artificial Agents as Social Companions

2017 ◽  
Vol 61 (1) ◽  
pp. 1604-1608 ◽  
Author(s):  
Eva Wiese ◽  
Tyler Shaw ◽  
Daniel Lofaro ◽  
Carryl Baldwin
Keyword(s):  
Social Robotics ◽  
Social Connection ◽  
Artificial Agents ◽  
Human Machine Interaction ◽  
Mind Perception ◽  
Social Partners ◽  
Internal States ◽  
And Performance ◽  
Machine Interaction ◽  
Do So

When we interact with others, we make inferences about their internal states (i.e., intentions, emotions) and use this information to understand and predict their behavior. Reasoning about the internal states of others is referred to as mentalizing, and presupposes that our social partners are believed to have a mind. Seeing mind in others increases trust, prosocial behaviors and feelings of social connection, and leads to improved joint performance. However, while human agents trigger mind perception by default, artificial agents are not automatically treated as intentional entities but need to be designed to do so. The panel addresses this issue by discussing how mind attribution to robots and other automated agents can be elicited by design, what the effects of mind perception are on attitudes and performance in human-robot and human-machine interaction and what behavioral and neuroscientific paradigms can be used to investigate these questions. Application areas covered include social robotics, automation, driver-vehicle interfaces, and others.

scholarly journals A Wheelchair Control System Using Human-Machine Interaction: Single-Modal and Multimodal Approaches

2019 ◽  
Vol 28 (1) ◽  
pp. 115-132 ◽  
Author(s):  
Mohamed K. Shahin ◽  
Alaa Tharwat ◽  
Tarek Gaber ◽  
Aboul Ella Hassanien
Keyword(s):  
Low Cost ◽  
Head Movements ◽  
Disabled People ◽  
Human Machine Interaction ◽  
Automatic Mode ◽  
Controlled Systems ◽  
Machine Interface ◽  
Head Gestures ◽  
Machine Interaction ◽  
Wheelchair Control

Abstract Recent research studies showed that brain-controlled systems/devices are breakthrough technology. Such devices can provide disabled people with the power to control the movement of the wheelchair using different signals (e.g. EEG signals, head movements, and facial expressions). With this technology, disabled people can remotely steer a wheelchair, a computer, or a tablet. This paper introduces a simple, low-cost human-machine interface system to help chaired people to control their wheelchair using several control sources. To achieve this paper’s aim, a laptop was installed on a wheelchair in front of the sitting person, and the 14-electrode Emotiv EPOC headset was used to collect the person’s head impressions from the skull surface. The superficially picked-up signals, containing the brain thoughts, head gestures, and facial emotions, were electrically encoded and then wirelessly sent to a personal computer to be interpreted and then translated into useful control instructions. Using these signals, two wheelchair control modes were proposed: automatic (using single-modal and multimodal approaches) and manual control. The automatic mode controller was accomplished using a software controller (Arduino), whereas a simple hardware controller was used for the manual mode. The proposed solution was designed using wheelchair, Emotiv EPOC EEG headset, Arduino microcontroller, and Processing language. It was then tested by totally chaired volunteers under different levels of trajectories. The results showed that the person’s thoughts can be used to seamlessly control his/her wheelchair and the proposed system can be configured to suit many levels and degrees of disability.

scholarly journals Performance Analysis of Urban Cleaning Devices Using Human–Machine Interaction Method

2021 ◽  
Vol 13 (11) ◽  
pp. 5846
Author(s):  
María Alonso-García ◽  
Ana García-Sánchez ◽  
Paula Jaén-Moreno ◽  
Manuel Fernández-Rubio
Keyword(s):  
Performance Analysis ◽  
Well Being ◽  
Working Environment ◽  
Interaction Method ◽  
Human Machine Interaction ◽  
Complex Interactions ◽  
Limited Company ◽  
Cleaning Device ◽  
And Performance ◽  
Machine Interaction

Presently, several jobs require the collaboration of humans and machines to perform different services and tasks. The ease and intuitiveness of the worker when using each machine will not only improve the worker’s experience but also improve the company’s productivity and the satisfaction that all users have. Specifically, electromechanical devices used to provide cleaning services require complex interactions. These interactions determine the usability and performance of devices. Therefore, devices must have appropriate ergonomic arrangements for human–machine interactions. Otherwise, the desired performance cannot be achieved. This study analyzes the performance of an urban cleaning device (pressure washer on a power take-off van) using human–machine interaction method. The method measures visceral and behavioral levels (set by Norman) and service times. Using these measurements, the usability of the pressure washer is determined according to different factors that facilitate the operator’s well-being in the working environment. A pressure washer from Feniks Cleaning and Safety, Limited Company, has been studied. Sixteen errors related to ergonomics, usability and safety were identified in this machine, which operates in more than 40 locations in Spain. Therefore, this study provides valuable information on the usability and performance of pressure washers, as well as possibilities for improvement.

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