2,737 research outputs found

    SARSCEST (human factors)

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    People interact with the processes and products of contemporary technology. Individuals are affected by these in various ways and individuals shape them. Such interactions come under the label 'human factors'. To expand the understanding of those to whom the term is relatively unfamiliar, its domain includes both an applied science and applications of knowledge. It means both research and development, with implications of research both for basic science and for development. It encompasses not only design and testing but also training and personnel requirements, even though some unwisely try to split these apart both by name and institutionally. The territory includes more than performance at work, though concentration on that aspect, epitomized in the derivation of the term ergonomics, has overshadowed human factors interest in interactions between technology and the home, health, safety, consumers, children and later life, the handicapped, sports and recreation education, and travel. Two aspects of technology considered most significant for work performance, systems and automation, and several approaches to these, are discussed

    NASA space station automation: AI-based technology review

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    Research and Development projects in automation for the Space Station are discussed. Artificial Intelligence (AI) based automation technologies are planned to enhance crew safety through reduced need for EVA, increase crew productivity through the reduction of routine operations, increase space station autonomy, and augment space station capability through the use of teleoperation and robotics. AI technology will also be developed for the servicing of satellites at the Space Station, system monitoring and diagnosis, space manufacturing, and the assembly of large space structures

    NASA space station automation: AI-based technology review. Executive summary

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    Research and Development projects in automation technology for the Space Station are described. Artificial Intelligence (AI) based technologies are planned to enhance crew safety through reduced need for EVA, increase crew productivity through the reduction of routine operations, increase space station autonomy, and augment space station capability through the use of teleoperation and robotics

    Healthcare Robotics

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    Robots have the potential to be a game changer in healthcare: improving health and well-being, filling care gaps, supporting care givers, and aiding health care workers. However, before robots are able to be widely deployed, it is crucial that both the research and industrial communities work together to establish a strong evidence-base for healthcare robotics, and surmount likely adoption barriers. This article presents a broad contextualization of robots in healthcare by identifying key stakeholders, care settings, and tasks; reviewing recent advances in healthcare robotics; and outlining major challenges and opportunities to their adoption.Comment: 8 pages, Communications of the ACM, 201

    Haptic Guidance for Extended Range Telepresence

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    A novel navigation assistance for extended range telepresence is presented. The haptic information from the target environment is augmented with guidance commands to assist the user in reaching desired goals in the arbitrarily large target environment from the spatially restricted user environment. Furthermore, a semi-mobile haptic interface was developed, one whose lightweight design and setup configuration atop the user provide for an absolutely safe operation and high force display quality

    The Utility of Measures of Attention and Situation Awareness for Quantifying Telepresence

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    Telepresence is defined as the sensation of being present at a remote robot task site while physically present at a local control station. This concept has received substantial attention in the recent past as a result of hypothesized benefits of presence experiences on human task performance with teleoperation systems. Human factors research, however, has made little progress in establishing a relationship between the concept of telepresence and teleoperator performance. This has been attributed to the multidimensional nature of telepresence, the lack of appropriate studies to elucidate this relationship, and the lack of a valid and reliable, objective measure of telepresence. Subjective measures (e.g., questionnaires, rating scales) are most commonly used to measure telepresence. Objective measures have been proposed, including behavioral responses to stimuli presented in virtual worlds (e.g. ducking virtual objects). Other research has suggested use of physiological measures, such as cardiovascular responses to indicate the extent of telepresence experiences in teleoperation tasks. The objective of the present study was to assess the utility of using measures of attention allocation and situation awareness (SA) to objectively describe telepresence. Attention and SA have been identified as cognitive constructs potentially underlying telepresence experiences. Participants in this study performed a virtual mine neutralization task involving remote control of a simulated robotic rover and integrated tools to locate, uncover, and dispose of mines. Subjects simultaneously completed two secondary tasks that required them to monitor for low battery signals associated with operation of the vehicle and controls. Subjects were divided into three groups of eight according to task difficulty, which was manipulated by varying the number, and spacing, of mines in the task environment. Performance was measured as average time to neutralize four mines. Telepresence was assessed using a Presence questionnaire. Situation awareness was measured using the Situation Awareness Global Assessment Technique. Attention was measured as a ratio of the number of ?low battery signal detections to the total number of signals presented through the secondary task displays. Analysis of variance results revealed level of difficulty to significantly affect performance time and telepresence. Regression analysis revealed level of difficulty, immersive tendencies, and attention to explain significant portions of the variance in telepresence

    The role of the vocal stream in telepresence communication

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    This paper helps in developing a new telepresence TP that will capture the vocal stream, and allow users to relate to natural behaviours that spontaneously arise during speech. Most of the work in affective computing within telepresence robot platforms adds to current research and knowledge generation as opposed to application. Consequently, users do not get clear benefits from them in the real world. The main reason behind this lack of benefit is that most research does not represent reality, and the actual capabilities we have in the real world do not match the capabilities that are used in research. Therefore, contemporary telepresence robot design should be based on an understanding of different aspects of human-human interaction (HHI) in regard to that which can be feasibly implemented in TP. Thus, this study will provided step by step guidelines to govern the creation of practical natural user interfaces using the vocal stream

    Anthropomorphic Robot Design and User Interaction Associated with Motion

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    Though in its original concept a robot was conceived to have some human-like shape, most robots now in use have specific industrial purposes and do not closely resemble humans. Nevertheless, robots that resemble human form in some way have continued to be introduced. They are called anthropomorphic robots. The fact that the user interface to all robots is now highly mediated means that the form of the user interface is not necessarily connected to the robots form, human or otherwise. Consequently, the unique way the design of anthropomorphic robots affects their user interaction is through their general appearance and the way they move. These robots human-like appearance acts as a kind of generalized predictor that gives its operators, and those with whom they may directly work, the expectation that they will behave to some extent like a human. This expectation is especially prominent for interactions with social robots, which are built to enhance it. Often interaction with them may be mainly cognitive because they are not necessarily kinematically intricate enough for complex physical interaction. Their body movement, for example, may be limited to simple wheeled locomotion. An anthropomorphic robot with human form, however, can be kinematically complex and designed, for example, to reproduce the details of human limb, torso, and head movement. Because of the mediated nature of robot control, there remains in general no necessary connection between the specific form of user interface and the anthropomorphic form of the robot. But their anthropomorphic kinematics and dynamics imply that the impact of their design shows up in the way the robot moves. The central finding of this report is that the control of this motion is a basic design element through which the anthropomorphic form can affect user interaction. In particular, designers of anthropomorphic robots can take advantage of the inherent human-like movement to 1) improve the users direct manual control over robot limbs and body positions, 2) improve users ability to detect anomalous robot behavior which could signal malfunction, and 3) enable users to be better able to infer the intent of robot movement. These three benefits of anthropomorphic design are inherent implications of the anthropomorphic form but they need to be recognized by designers as part of anthropomorphic design and explicitly enhanced to maximize their beneficial impact. Examples of such enhancements are provided in this report. If implemented, these benefits of anthropomorphic design can help reduce the risk of Inadequate Design of Human and Automation Robotic Integration (HARI) associated with the HARI-01 gap by providing efficient and dexterous operator control over robots and by improving operator ability to detect malfunctions and understand the intention of robot movement

    Enabling Social Interaction Through Embodiment in ExCITE

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    No abstract availableThe emerging demographic trends toward an aging population involve an unflagging research of ways of assisting elderly people to stay independent for as long as possible. This means to be active at home and in the labour market, to prevent social isolation and promote societal inclusion. Both ICT and robotics technologies can contribute to help achieving these goals. This paper introduces the aims of the Ambient Assisted Living project ExCITE whose main objective is to enhance a robotic platform for telepresence with features enabling social interaction from a domestic environment to the outside world. The whole ExCITE project uses a user-centered approach hence it evolves around an intensive evaluation to be performed in situ, on a PanEuropean scale. An existing prototype, called Giraff, is to be deployed to targeted end-users, and refined taking into account outcome of the evaluation. This paper introduces the objectives of ExCITE and offers a description of its initial activities particularly focused on the user evaluation

    Almost Like Being There: Embodiment, Social Presence, and Engagement Using Telepresence Robots in Blended Courses

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    As students’ online learning opportunities continue to increase in higher education, students are choosing not to come back to campus in-person for a variety of personal, health, safety, and financial reasons. The growing use of video conferencing technology during the COVID-19 pandemic allowed classes to continue, but students reported a sense of disconnectedness and lack of engagement with their classes. Telepresence robots may be an alternative to video conferencing that can provide learning experiences closer to the in-person experience, which also provides a stronger sense of embodiment, social presence, and engagement in the classroom. This study explored the use of telepresence robots in four undergraduate, humanities, blended learning courses. Sixty-nine students, 43 in-person and 26 remote students, were surveyed using the Telepresence and Engagement Measurement Scale (TEMS) and provided written feedback about their experience. The TEMS measured embodiment, social presence, psychological involvement, and three indicators of engagement: behavioral, affective, and cognitive. Embodiment and social presence were positively correlated as were embodiment and behavioral engagement. There was no significant difference between the two groups’ perceptions of social presence but there was a significant difference between groups’ perceptions of engagement. Qualitative data and effect sizes greater than 0.80 supported the reliability and validity of the TEMS instrument as a measurement instrument for future study of blended learning environments using remote tools such as telepresence robots. Provided that technological issues such as connectivity and audio and video quality are addressed, telepresence robots can be a useful tool to help students feel more embodied and socially present in today’s blended learning classrooms
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