3,251 research outputs found

    Evaluating humanhuman communication protocols with miscommunication generation and model checking

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    Abstract. Human-human communication is critical to safe operations in domains such as air transportation where airlines develop and train pilots on communication procedures with the goal to ensure that they check that verbal air traffic clearances are correctly heard and executed. Such communication protocols should be designed to be robust to miscommunication. However, they can fail in ways unanticipated by designers. In this work, we present a method for modeling human-human communication protocols using the Enhanced Operator Function Model with Communications (EOFMC), a task analytic modeling formalism that can be interpreted by a model checker. We describe how miscommunications can be generated from instantiated EOFMC models of human-human communication protocols. Using an air transportation example, we show how model checking can be used to evaluate if a given protocol will ensure successful communication. Avenues of future research are explored

    Modeling Operator Behavior in the Safety Analysis of Collaborative Robotic Applications

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    Human-Robot Collaboration is increasingly prominent in peo- ple's lives and in the industrial domain, for example in manufacturing applications. The close proximity and frequent physical contacts between humans and robots in such applications make guaranteeing suitable levels of safety for human operators of the utmost importance. Formal veri- cation techniques can help in this regard through the exhaustive explo- ration of system models, which can identify unwanted situations early in the development process. This work extends our SAFER-HRC method- ology with a rich non-deterministic formal model of operator behaviors, which captures the hazardous situations resulting from human errors. The model allows safety engineers to rene their designs until all plausi- ble erroneous behaviors are considered and mitigated

    The Impact of Generational Differences on Organizational Relationships: A Communication Perspective

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    The purpose of this mixed methods sequential explanatory study was to investigate the relationship between an individual’s generation and the communication styles used with other generations, and explore the influence of intergenerational communication styles on organizational relationships. The study utilized the Global Perceptions of Intergenerational Communication (GPIC) survey to assess participants’ perceptions of others and one’s own communication styles on three factors: accommodation, nonaccommodation, and respectful avoidance. Three hundred and eighty-five participants of staff and administrators employed at five community colleges located in South Texas completed the survey. Principal component analyses and multiple analysis of variance analysis results showed the younger generations perceived more nonaccommodation communication among the older generation. In addition, the younger generations indicated they use more respectful avoidance communication with the older generation. Inter-generational focus groups also highlighted these different communication experiences among the generations. Specifically, the focus groups showed Veterans/Baby Boomers find their communication experiences to be problematic with Millennials. Millennials also find their communication experiences to be problematic with the Veterans/Baby Boomer generation, whereas the Generation Xer focus group participants characterized the Veteran/Baby Boomer communication as rough and inappropriate. The study concluded there are differences in communication experiences between members of the generations that leads to tension and conflict in the workplace along with the perception of differences in their values. Specifically, the research highlights the values of respect, trust, and openness, which are all important among employees within an organizational setting

    Technology and Organizational Decision-Making: A Qualitative Case Study Approach

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    Technology and communication skills simultaneously increase organizational productivity and decision-making. However, excessive use of technology to make decisions can diminish the added benefits that nonverbal communication can bring. The interpersonal sensitivity effects on perception of service quality model, face-to-face communication versus teleconferencing, the technology acceptance model, and decision-making were the conceptual framework of the study. The research questions examined how excessive use of technology to make decisions can diminish the added benefits that nonverbal communication can bring to organizational leadership decision-making. Employing an exploratory multiple case study design, organizational leaders from the Southern California region, ranging in seniority from team-leader through executive, completed 25 member-checked interviews and 15 qualitative questionnaires. Using Yin\u27s 5-step approach to analyzing the data, 8 themes remerged. From these themes, I developed 5 findings regarding technology, non-verbal communication, and decision-making. My study affects positive social change by educating organizational leaders on the importance of distancing themselves from work during nonwork hours, encouraging organizational leaders to develop guidelines around the use of teleconference software, promoting organizational learning with an emphasis on soft-skill training, and acknowledging when there is a misunderstanding in nonverbal communication. Organizational leaders can improve decision-making by using the favorable traits associated with both electronic and nonverbal behavioral communications

    A think-aloud protocols investigation of lexico-semantic problems and problem-solving strategies among trainee English-Arabic translators.

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    SIGLEAvailable from British Library Document Supply Centre-DSC:DXN039294 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

    Gulfs of Expectation: Eliciting and Verifying Differences in Trust Expectations using Personas

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    Personas are a common tool used in Human Computer Interaction to represent the needs and expectations of a system’s stakeholders, but they are also grounded in large amounts of qualitative data. Our aim is to make use of this data to anticipate the differences between a user persona’s expectations of a system, and the expectations held by its developers. This paper introduces the idea of gulfs of expectation – the gap between the expectations held by a user about a system and its developers, and the expectations held by a developer about the system and its users. By evaluating these differences in expectation against a formal representation of a system, we demonstrate how differences between the anticipated user and developer mental models of the system can be verified. We illustrate this using a case study where persona characteristics were analysed to identify divergent behaviour and potential security breaches as a result of differing trust expectations

    Pharmacists’ interventions in minimising medication misadventure in children with cancer

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    This study evaluated 1741 interventions by clinical pharmacists to reduce medication misadventure in three clinical units of a children’s hospital in Perth, Australia, documented using snapshot self-report and observation. Commonly, pharmacists’ interventions involved taking medication histories, patient counselling and/or drug therapy changes. Active interventions were randomly assessed by an expert panel for their clinical significance. Root cause analysis was used to assess healthcare professionals’ ability to evaluate medication errors causes and formulate preventative strategies
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