Formal modeling and analysis of safety-critical human multitasking

Broccia, Giovanna; Milazzo, Paolo; Ölveczky, Peter Csaba

doi:10.1007/s11334-019-00333-7

Cited by 18 publications

(6 citation statements)

References 38 publications

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“…See [17] for a GPU implementation of the parent tool VoxLogicA. Finally, a user interface could be useful to explore large datasets, and to better visualize the interpretation of logic formulas, possibly exploiting results in [15] for validation.…”

Section: Discussionmentioning

confidence: 99%

Geometric Model Checking of Continuous Space

Bezhanishvili¹,

Ciancia²,

Gabelaia³

et al. 2021

Preprint

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Topological Spatial Model Checking is a recent paradigm that combines Model Checking with the topological interpretation of Modal Logic. The Spatial Logic of Closure Spaces, SLCS, extends Modal Logic with reachability connectives that, in turn, can be used for expressing interesting spatial properties, such as "being near to" or "being surrounded by". SLCS constitutes the kernel of a solid logical framework for reasoning about discrete space, such as graphs and digital images, interpreted as quasi discrete closure spaces. In particular, the spatial model checker VoxLogicA, that uses an extended version of SLCS, has been used successfully in the domain of medical imaging. However, SLCS is not restricted to discrete space. Following a recently developed geometric semantics of Modal Logic, we show that it is possible to assign an interpretation to SLCS in continuous space, admitting a model checking procedure, by resorting to models based on polyhedra. In medical imaging such representations of space are increasingly relevant, due to recent developments of 3D scanning and visualisation techniques that exploit mesh processing. We demonstrate feasibility of our approach via a new tool, PolyLogicA, aimed at efficient verification of SLCS formulas on polyhedra, while inheriting some well-established optimization techniques already adopted in VoxLogicA. Finally, we cater for a geometric definition of bisimilarity, proving that it characterises logical equivalence.

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Section: Discussionmentioning

confidence: 99%

Geometric Model Checking of Continuous Space

Bezhanishvili¹,

Ciancia²,

Gabelaia³

et al. 2021

Preprint

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“…The model is an extension and modification of the cognitive framework proposed by Cerone for the analysis of interactive systems [9]. Other related models of human multitasking are ACT-R [1], SEEV [30], STOM [29] and the models proposed in [19,21] (see [6] for a deeper discussion about related work).…”

Section: Safety-critical Human Multitasking Modelmentioning

confidence: 99%

“…Moreover, we implemented the multitasking model in Real-Time Maude, which is a rewriting logic language and tool which supports the formal specification and analysis of real-time systems [4,6]. The Real-Time Maude framework enables us to analyse safety-critical human multitasking through simulation and reachability analysis.…”

Section: Safety-critical Human Multitasking Modelmentioning

confidence: 99%

Validation of a Simulation Algorithm for Safety-Critical Human Multitasking

Broccia

Milazzo

Belviso

et al. 2020

Lecture Notes in Computer Science

Self Cite

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Multitasking has become surprisingly present in our life. This is mostly due to the fact that nowadays most of our activities involve the interaction with one or more devices. In such a context the brain mechanism of selective attention plays a key role in determining the success of a human's interaction with a device. Indeed, it is a resource to be shared among the concurrent tasks to be performed, and the sharing of attention turns out to be a process similar to process scheduling in operating systems. In order to study human multitasking situations in which a user interacts with more than one device at the same time, we proposed in a previous work an algorithm for simulating human selective attention. Our algorithm focuses, in particular, on safety-critical human multitasking, namely situations in which some of the tasks the user is involved in may lead to dangerous consequences if not executed properly. In this paper, we present the validation of such an algorithm against data gathered from an experimental study performed with real users involved concurrently in a "main" task perceived as safety-critical and in a series of "distractor" tasks having different levels of cognitive load.

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“…4 If the tasks are safety-critical, failures to perform them correctly or timely will have catastrophic consequences. 4 Recent accident analysis showed that 60%-90% of aviation accidents and incidents occurred can be attributed to MOL. 5 Notably, MOL is an important precursor to accidents.…”

Section: Introductionmentioning

confidence: 99%

“…A safety‐critical multitasking situation takes place usually due to certain combinations of unpredictable situations introduced by human errors (HEs), machine failures (MFs), abnormal environment (AE), or temporary tasks 2 . Under multitasking situations where mental workload (MWL) research is usually most pertinent and/or most pursued, mental overload (MOL) is a very real concern 3 and could result in forgetting or mistaking tasks 4 . If the tasks are safety‐critical, failures to perform them correctly or timely will have catastrophic consequences 4 .…”

Section: Introductionmentioning

confidence: 99%

Risk assessment of man‐machine systems under safety‐critical multitasking situations

Che,

Li,

Zeng

et al. 2024

Quality & Reliability Eng

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Multitasking is increasingly common in highly complex and safety‐critical systems, especially under abnormal situations. Mental overload (MOL) may occur and result in forgetting/mistaking tasks uncertainly. Such probabilistic errors could have catastrophic consequences and contribute greatly to the multitasking risk of man‐machine systems. In this paper, to better identify the risks of safety‐critical multitasking situations, MOL mechanism is investigated and a risk analysis method considering MOL is proposed. MOL occurs when the demand for resources estimated by Multiple Resources Model exceeds an operator's ability. Then, the operator's performance degrades, and s/he tends to mistake or abandon parts of tasks. Based on the MOL mechanism, a MOL‐performance dependency (MOL‐PDEP) gate is proposed to incorporate MOL into risk analysis. Its inputs are concurrent tasks, and it triggers the related hazardous human behavior events with certain probabilities if MOL occurs. Through this gate, the dependence among these events and their nondeterministic cause relationships to MOL are added to traditional fault tree (FT), which presents a challenge issue to FT analysis. An implicit method is proposed to analyze the FT with MOL‐PDEP gate and calculate the accident probability. A case study on a helicopter crash accident demonstrates the effectiveness of the proposed method.

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Formal modeling and analysis of safety-critical human multitasking

Cited by 18 publications

References 38 publications

Geometric Model Checking of Continuous Space

Geometric Model Checking of Continuous Space

Validation of a Simulation Algorithm for Safety-Critical Human Multitasking

Risk assessment of man‐machine systems under safety‐critical multitasking situations

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