1,721,422 research outputs found

    Number of interrupting events influences response time in multitasking, but not trust in automation

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    oai:https://soar.wichita.edu:10057/29610Objective The present study examined how the number of interrupting events (interruption load) influences the effect of task load on human-automation trust and resource allocation in a low-fidelity flight simulation environment. Background Trust is one critical factor that influences successful human-automation interaction. In the previous research, operators reported lower trust scores and made fewer fixation toward an automated system, which assisted a task, when competing task in the same workspace demanded more attention from the operator. However, it is unclear whether human-automation trust is influenced by frequent shift of attention away from a task assisted by an automated signaling system. Methods Participants concurrently performed a tracking task, a system monitoring task, and a communication task. An automated signaling system was employed to assist the system monitoring task with 70% reliability. Task load was manipulated by the difficulty of the tracking task while interruption load was manipulated by the varying the frequency of auditory messages in the communication task. Results Results demonstrated an effect of task load on human-automation trust and resource allocation, replicating previous findings. Further, participants responded faster to an auditory message that occurred less frequently when performing a tracking task at the low difficulty level but automation trust did not vary. Conclusion While operators reported higher trust levels to imperfect automation under lower task load, number of interrupting events does not influence their trust

    A theoretical approach to management of limited attentional resources to support m:N operation in advanced air mobility ecosystem

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    Available online 17 January 2025, Version of Record 17 January 2025.Available in paperback and ebook.This chapter, along with the full text, can also be found online at ScienceDirect: https://www.sciencedirect.com/book/9780443292460/interdependent-human-machine-teamsAdvanced air mobility (AAM) technologies incorporate increasingly autonomous systems that allow fully remote, independent, and intelligent operation of air vehicles to support the transportation of goods and passengers within and across urban and rural areas. In the AAM ecosystem, the human operator's role will likely be a passive supervisory monitor of the air vehicles, involving increasingly fewer humans (m) that manage many more autonomous systems (N), or m:N operations. In the general human information-processing model, a human operator exercises a limited pool of attentional resources to engage various information-processing stages. Yamani and Horrey (2018) expanded the human information-processing model to characterize a tradeoff between information-processing demand and resource relief that automation brings in the context of automated driving. In their model, a driver interacting with an automated driving system is assumed to reallocate resources “freed” by automation to support other information-processing stages required for successful task performance. A future AAM ecosystem enabled by an orchestration of advanced automated systems, however, requires a single operator to interact with more than one air vehicle with varying levels and degrees of automation. We provide a review of the literature on situation assessment and trust, two constructs identified as critical for a fuller understanding of intimate and intricate interactions between a human operator and multiple air vehicles equipped with increasingly autonomous systems. Then, we propose an expansion of Yamani and Horrey's (2018) model to motivate systematic research on the human operator's role, identify factors that influence resource allocation, and guide human-centered design of an interface supporting the m:N operation in the AAM environment

    Multilevel confirmatory factor analysis reveals two distinct human–automation trust constructs

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    Objective This work examined the relationship of the constructs measured by the trust scales developed by Chancey et al. (2017) and Jian et al. (2000) using a multilevel confirmatory factor analysis (CFA). Background Modern theories of automation trust have been proposed based on data collected using trust scales. Chancey et al. (2017) adapted Madsen and Gregor’s (2000) trust scale to align with Lee and See’s (2004) human–automation trust framework. In contrast, Jian et al. (2000) developed a scale empirically with trust and distrust as factors. However, it remains unclear whether these two scales measure the same construct. Method We analyzed data collected from previous experiments to investigate the relationship between the two trust scales using a multilevel CFA. Results Data provided evidence that Jian et al. (2000) and Chancey et al. (2017) automation trust scales are only weakly related. Trust and distrust are found to be distinct factors in Jian et al.’s (2000) scale, whereas performance, process, and purpose are distinct factors in Chancey et al.’s (2017) trust scale. Conclusion The analysis suggested that the two scales purporting to measure human–automation trust are only weakly related. Application Trust researchers and automation designers may consider using Chancey et al. (2017) and Jian et al. (2000) scales to capture different characteristics of human–automation trust

    Gaze transition entropy as a measure of attention allocation in a dynamic workspace involving automation

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    Abstract Real-world work environments require operators to perform multiple tasks with continual support from an automated system. Eye movement is often used as a surrogate measure of operator attention, yet conventional summary measures such as percent dwell time do not capture dynamic transitions of attention in complex visual workspace. This study analyzed eye movement data collected in a controlled a MATB-II task environment using gaze transition entropy analysis. In the study, human subjects performed a compensatory tracking task, a system monitoring task, and a communication task concurrently. The results indicate that both gaze transition entropy and stationary gaze entropy, measures of randomness in eye movements, decrease when the compensatory tracking task required more continuous monitoring. The findings imply that gaze transition entropy reflects attention allocation of operators performing dynamic operational tasks consistently

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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