Triangulating empirical and analytic techniques for improving number entry user interfaces

Cauchi, Abigail; Oladimeji, Patrick; Niezen, Gerrit; Thimbleby, Harry

doi:10.1145/2607023.2607025

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…Lab studies help in making sure that users understand an interaction design, while simulations help in designing the fine details of the user interface that are essential in safety-critical design, such as those of medical devices [3]. The human operator model presented here combines manual control theory with behavior-based hybrid automata to simulate both continuous and discrete interaction, enabling us to simulate aspects of user interaction at a high resolution that compares well to real-world data.…”

Section: Discussionmentioning

confidence: 99%

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A Human Operator Model for Medical Device Interaction Using Behavior-Based Hybrid Automata

Niezen

Eslambolchilar

2016

IEEE Trans. Human-Mach. Syst.

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This paper describes the design and implementation of a control-theoretic model that can be used to model both the discrete and continuous behavior of a human operator. The human operator model can be used to compare different device user interfaces in terms of human performance. The implemented human operator model combines an ON-OFF control model and a behavior-based hybrid automaton with three controllers. The controllers, defined as continuous, discrete, and fine-tuning behavior, simulate the user's conceptual model of the user interface. The device model used is that of a commercial syringe pump with chevron keys, described as a formal specification. Results of the human operator model simulation were generated for 20 different numbers obtained from syringe pump log files. The simulation results were compared over 33 trials to a lab study employing a device based on the formal specification. The result of the simulation shows a significant similarity to the result of the lab study for all the numbers used.

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Section: Discussionmentioning

confidence: 99%

“…Number entry is a very common task in healthcare, and incorrect drug doses are a significant contributory factor to unnecessary fatalities [3]. Errors made using incremental number entry are less severe than numeric keypads [2].…”

Section: Introductionmentioning

confidence: 99%

A Human Operator Model for Medical Device Interaction Using Behavior-Based Hybrid Automata

Niezen

Eslambolchilar

2016

IEEE Trans. Human-Mach. Syst.

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“…Infusion pumps are medical devices used to deliver drugs to patients. Deep investigation has been done of the data entry systems of such devices (Cauchi et al 2012b;Cauchi et al 2014;Gimblett and Thimbleby 2013;Masci et al 2011;Oladimeji et al 2011;Oladimeji et al 2013;Thimbleby 2010;Thimbleby and Gimblett 2011;Tu et al 2014). If a nurse makes an error in setting up an infusion (for instance, a number ten times larger than the necessary for the patient's therapy), the patient may die.…”

Section: Modellingmentioning

confidence: 99%

State of the Art on Formal Methods for Interactive Systems

Oliveira¹,

Palanque²,

Weyers³

et al. 2017

Human–Computer Interaction Series

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This chapter provides an overview of several formal approaches for the design, specification and verification of interactive systems. For each approach presented, we describe how they support both modelling and verification activities. We also exemplify their use on a simple example in order to provide the reader with a better understanding of their basic concepts. It is important to note that this chapter is not selfcontained and that the interested reader should get more details looking at the references provided. The chapter is organized to provide an historical perspective at the main contributions in the area of formal methods in the field of Human-Computer Interaction. The approaches are presented in a semi-structured way identifying their contributions alongside a set of criteria. The chapter is concluded by a summary section organizing the various approaches in two summary tables reusing the criteria previously derived.

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“…Graham et al 2004), and focusing on specific design issues such as number entry input (e.g. Cauchi et al 2014), very little attention has been paid to the mismatches that occur between user and device and how these may cause vulnerabilities within the wider system.…”

Section: Introductionmentioning

confidence: 99%

How external and internal resources influence user action: the case of infusion devices

et al. 2016

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Human error can have potentially devastating consequences in contexts such as healthcare, but there is a rarely a simple dichotomy between errors and correct behaviour. Furthermore, there has been little consideration of how the activities of users (erroneous and otherwise) relate to the conceptual fit between user and device, despite the fact that healthcare technologies are becoming increasingly prevalent and complex. In this article, we present a study in which nurses' conceptions of infusion device practice were elicited to identify misfits. By focusing on key concepts that users work with when setting up infusions and the extent to which the system supports them, our analysis highlights how actions are influenced by the different resources available to users including: the device itself; supporting artefacts; the conceptual understanding of the user; and the community of practice the user is part of. The findings reveal the ways in which users are resourceful in their day-to-day activities and also suggest potential vulnerabilities within the wider system that could threaten patient safety. Our approach is able to make previously under-explored aspects of practice visible, thus enabling insight into how users act and why.

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Triangulating empirical and analytic techniques for improving number entry user interfaces

Cited by 6 publications

References 13 publications

A Human Operator Model for Medical Device Interaction Using Behavior-Based Hybrid Automata

A Human Operator Model for Medical Device Interaction Using Behavior-Based Hybrid Automata

State of the Art on Formal Methods for Interactive Systems

How external and internal resources influence user action: the case of infusion devices

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