Cognitive Differences and Their Impact on Information Perception: An Empirical Study Combining Survey and Eye Tracking Data

Falschlunger, Lisa; Treiblmaier, Horst; Lehner, Othmar M.; Grabmann, Elisabeth

doi:10.1007/978-3-319-18702-0_18

Cited by 9 publications

(5 citation statements)

References 32 publications

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“…For example, it has been found that clinicians using comprehensive EHRs are vulnerable to information overload, which might lead them to miss important information [40]. The HCI literature addresses the influence of information overload, which is associated with impeding cognition and thus impairing objective decision making [41]. One solution suggested in the literature is visualization of data which could be used to mitigate the effect of information overload.…”

Section: Discussionmentioning

confidence: 99%

Assessing EHR use during hospital morning rounds: A multi-faceted study

Assis-Hassid

Grosz²,

Zimlichman

et al. 2019

PLoS ONE

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Background The majority of U.S hospitals have implemented electronic health records (EHRs). While the benefits of EHRs have been widely touted, little is known about their effects on inpatient care, including how well they meet workflow needs and support care. Objective Assess the extent to which EHRs support care team workflow during hospital morning rounds. Design We applied a mixed-method approach including observations of care teams during morning rounds, semi-structured interviews and an electronic survey of hospital inpatient clinicians. Structured field notes taken during observations were used to identify workflow patterns for analysis. We applied a grounded theory approach to extract emerging themes from interview transcripts and used SPSS Statistics 24 to analyze survey responses. Setting Medical units at a major teaching hospital in New England. Results Data triangulation across the three analyses yielded four main findings: (1) a high degree of variance in the ways care teams use EHRs during morning rounds. (2) Pervasive use of workarounds at critical points of care (3) EHRs are not used for information sharing and frequently impede intra-care team communication. (4) System design and hospital room settings do not adequately support care team workflow. Conclusions Gaps between EHR design and the functionality needed in the complex inpatient environment result in lack of standardized workflows, extensive use of workarounds and team communication issues. These issues pose a threat to patient safety and quality of care. Possible solutions need to include improvements in EHR design, care team training and changes to the hospital room setting.

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Section: Discussionmentioning

confidence: 99%

Assessing EHR use during hospital morning rounds: A multi-faceted study

Assis-Hassid

Grosz²,

Zimlichman

et al. 2019

PLoS ONE

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show abstract

“…In a complexity scenario, with an abundance of big data, the data processing would easily exceed the human cognitive capabilities, leading to an information overload (Falschlunger et al , 2016; Perkhofer and Lehner, 2019). A different support by AI seems appropriate in terms of the data analysis of unidentified features and correlations (Quattrone, 2016) to guide the decision-making (Huttunen et al , 2019), with the support of clever visualisations (Falschlunger et al , 2015). The third scenario is also referred to by Jarrahi (2018) as an “equivocality” scenario.…”

Section: Human–machine Collaborationmentioning

confidence: 99%

Limits of artificial intelligence in controlling and the ways forward: a call for future accounting research

Losbichler

Lehner

2021

JAAR

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PurposeLooking at the limits of artificial intelligence (AI) and controlling based on complexity and system-theoretical deliberations, the authors aimed to derive a future outlook of the possible applications and provide insights into a future complementary of human–machine information processing. Derived from these examples, the authors propose a research agenda in five areas to further the field.Design/methodology/approachThis article is conceptual in its nature, yet a theoretically informed semi-systematic literature review from various disciplines together with empirically validated future research questions provides the background of the overall narration.FindingsAI is found to be severely limited in its application to controlling and is discussed from the perspectives of complexity and cybernetics. A total of three such limits, namely the Bremermann limit, the problems with a partial detectability and controllability of complex systems and the inherent biases in the complementarity of human and machine information processing, are presented as salient and representative examples. The authors then go on and carefully illustrate how a human–machine collaboration could look like depending on the specifics of the task and the environment. With this, the authors propose different angles on future research that could revolutionise the application of AI in accounting leadership.Research limitations/implicationsFuture research on the value promises of AI in controlling needs to take into account physical and computational effects and may embrace a complexity lens.Practical implicationsAI may have severe limits in its application for accounting and controlling because of the vast amount of information in complex systems.Originality/valueThe research agenda consists of five areas that are derived from the previous discussion. These areas are as follows: organisational transformation, human–machine collaboration, regulation, technological innovation and ethical considerations. For each of these areas, the research questions, potential theoretical underpinnings as well as methodological considerations are provided.

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“…However, according to Buchanan and Kock, the vast amount of information available is more than required [2] and leads to deciding which information should be considered valuable. To better grasp this issue, studies have shown that visualizations [5] and recommendation systems [6,7] can be utilized as countermeasures. Recommendation systems utilize various approaches such as deep learning [7], similarity algorithms, and natural language processing to identify and recommend relevant items of interest.…”

Section: Introductionmentioning

confidence: 99%

Recommendation of Scientific Publications—A Real-Time Text Analysis and Publication Recommendation System

et al. 2023

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Studies have shown that although having more information improves the quality of decision-making, information overload causes adverse effects on decision quality. Visual analytics and recommendation systems counter this adverse effect on decision-making. Accurately identifying relevant information can reduce the noise during exploration and improve decision-making. These countermeasures also help scientists make correct decisions during research. We present a novel and intuitive approach that supports real-time collaboration. In this paper, we instantiate our approach to scientific writing and propose a system that supports scientists. The proposed system analyzes text as it is being written and recommends similar publications based on the written text through similarity algorithms. By analyzing text as it is being written, it is possible to provide targeted real-time recommendations to improve decision-making during research by finding relevant publications that might not have been otherwise found in the initial research phase. This approach allows the recommendations to evolve throughout the writing process, as recommendations begin on a paragraph-based level and progress throughout the entire written text. This approach yields various possible use cases discussed in our work. Furthermore, the recommendations are presented in a visual analytics system to further improve scientists’ decision-making capabilities.

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Cognitive Differences and Their Impact on Information Perception: An Empirical Study Combining Survey and Eye Tracking Data

Cited by 9 publications

References 32 publications

Assessing EHR use during hospital morning rounds: A multi-faceted study

Assessing EHR use during hospital morning rounds: A multi-faceted study

Limits of artificial intelligence in controlling and the ways forward: a call for future accounting research

Recommendation of Scientific Publications—A Real-Time Text Analysis and Publication Recommendation System

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