scholarly journals The usability of ventilator maintenance user interface: A comparative evaluation of user task performance, workload, and user experience

2020 ◽  
Vol 103 (4) ◽  
pp. 003685042096288
Author(s):  
Mingyin Jiang ◽  
Dongjie Sun ◽  
Qiang Li ◽  
Daoxiong Wang
Keyword(s):  
User Interface ◽  
Task Performance ◽  
User Experience ◽  
Error Rate ◽  
Completion Time ◽  
Human Error ◽  
Task Completion ◽  
Performance Task ◽  
Task Completion Time ◽  
Significant Difference

Poor usability designed of ventilator user interface can easily lead to human error. In this study, we evaluated the usability design of ventilator maintenance user interface and identified problems related to the usability of user interface that could easily cause human error. Sixteen respiratory therapists participated in this usability study. The usability of the ventilator maintenance user interface was evaluated by participants’ task performance (task completion time, task error rate), physiological workload (eye-fixation duration) and perceived workload (NASA-TLX), and user experience (questionnaire). For task performance, task completion time and task error rate showed significant differences. For task completion time, significant difference was found when conducting ventilator self-test ( p < 0.001), replace the breathing circuit ( p = 0.047), and check battery status ( p = 0.005). For task error rate, the three ventilators showed significant difference ( p = 0.012), and the Serov I showed a significantly higher task error rate than the Boaray 5000D ( p = 0.031). For workload, the Serov I was associated with higher physiological and perceived workloads than other ventilators ( p < 0.05). For user experience, the Boaray 5000D received better scores among the ventilators in terms of ease to maintain, friendly to maintain, and willingness to use ( p < 0.05, respectively). Our study adds available literature for usability evaluation of ventilator maintenance user interface. The results indicate that the maintenance user interface of the Boaray 5000D performed better than the other two tested ventilators. Moreover, the study results also proved that eye-fixation duration can be a reliable tool for evaluating the usability of ventilator user interface.

scholarly journals Analysis of user experience during interaction with selected CMS platforms

2021 ◽  
Vol 21 ◽  
pp. 336-343
Author(s):  
Michał Miszczak ◽  
Mariusz Dzieńkowski
Keyword(s):  
Eye Tracking ◽  
User Experience ◽  
Completion Time ◽  
Task Completion ◽  
Task Completion Time ◽  
Tracking Technique

The purpose of this study was assessing user experience while working with two popular CMS systems: WordPress and PrestaShop. The evaluation was done using a questionnaire and an eye tracking technique. Average task completion time, the number of fixations, the percentage of correctly completed tasks and the SUS index were used for comparisons. On the basis of the obtained results which, were collected during and after the users' interaction with a given system, it is difficult to clearly state which CMS proved to be better.

scholarly journals Integration of biosensor to a window-based control system for user emotion detection to static and dynamic visual contents of webpages

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fatima M. Isiaka ◽  
Awwal Adamu ◽  
Zainab Adamu
Keyword(s):  
Control System ◽  
Eye Movement ◽  
User Experience ◽  
Completion Time ◽  
Dynamic Control ◽  
Task Completion ◽  
Time Interval ◽  
Task Completion Time ◽  
Content Type ◽  
Dynamic Control System

Purpose Basic capturing of emotion on user experience of web applications and browsing is important in many ways. Quite often, online user experience is studied via tangible measures such as task completion time, surveys and comprehensive tests from which data attributes are generated. Prediction of users’ emotion and behaviour in some of these cases depends mostly on task completion time and number of clicks per given time interval. However, such approaches are generally subjective and rely heavily on distributional assumptions making the results prone to recording errors. This paper aims to propose a novel method – a window dynamic control system – that addresses the foregoing issues. Design/methodology/approach Primary data were obtained from laboratory experiments during which 44 volunteers had their synchronized physiological readings – skin conductance response, skin temperature, eye movement behaviour and users activity attributes taken by biosensors. The window-based dynamic control system (PHYCOB I) is integrated to the biosensor which collects secondary data attributes from these synchronized physiological readings and uses them for two purposes: for detection of both optimal emotional responses and users’ stress levels. The method’s novelty derives from its ability to integrate physiological readings and eye movement records to identify hidden correlates on a webpage. Findings The results from the analyses show that the control system detects basic emotions and outperforms other conventional models in terms of both accuracy and reliability, when subjected to model comparison – that is, the average recoverable natural structures for the three models with respect to accuracy and reliability are more consistent within the window-based control system environment than with the conventional methods. Research limitations/implications Graphical simulation and an example scenario are only provided for the control’s system design. Originality/value The novelty of the proposed model is its strained resistance to overfitting and its ability to automatically assess user emotion while dealing with specific web contents. The procedure can be used to predict which contents of webpages cause stress-induced emotions to users.

scholarly journals Quantifying Usability via Task Flow-Based Usability Checklists for User-Centered Design

Designs ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 2
Author(s):  
Toshihisa Doi ◽  
Toshiki Yamaoka
Keyword(s):  
User Interface ◽  
Interface Design ◽  
Completion Time ◽  
General Purpose ◽  
Task Completion ◽  
Subjective Rating ◽  
User Centered Design ◽  
Rater Agreement ◽  
Task Completion Time ◽  
Expert Review

In this study, we investigated the effectiveness of a method to quantify the overall product usability using an expert review. The expert review involved a general-purpose task flow-based usability checklist that provided a single quantitative usability score. This checklist was expected to reduce rating variation among evaluators. To confirm the effectiveness of the checklist, two experiments were performed. In Experiment 1, the usability score obtained using the proposed checklist was compared with traditional usability measures (task completion ration, task completion time, and subjective rating). The results demonstrated that the usability score obtained using the proposed checklist shows a tendency similar to that of the traditional measures. In Experiment 2, we investigated the inter-rater agreement of the proposed checklist by comparing it with a similar method. The results demonstrate that the inter-rater agreement of the proposed task flow-based usability checklist is greater than that of structured user interface design and evaluation.

Age-Related Decrements in Automobile Instrument Panel Task Performance

1989 ◽  
Vol 33 (3) ◽  
pp. 159-163 ◽  
Author(s):  
Brian C. Hayes ◽  
Ko Kurokawa ◽  
Walter W. Wierwille
Keyword(s):  
Task Performance ◽  
Completion Time ◽  
Dwell Time ◽  
Age Groups ◽  
Instrument Panel ◽  
Task Completion ◽  
Task Completion Time ◽  
Age Related ◽  
Instrumented Vehicle ◽  
And Task

This research was undertaken, in part, to determine the magnitudes of performance decrements associated with automotive instrument panel tasks as a function of driver age. Driver eye scanning and dwell time measures and task completion measures were collected while 24 drivers aged 18 to 72 performed a variety of instrument panel tasks as each drove an instrumented vehicle along preselected routes. The results indicated a monotonically increasing relationship between driver age and task completion time and the number of glances to the instrument panel. Mean glance dwell times, either to the roadway or the instrument, were not significantly different among the various age groups. The nature of these differences for the various task categories used in the present study was examined.

scholarly journals Comparison of usability of text editors MS Word 2003, MS Word 2007 and OpenOffice Writer 3.0

2009 ◽  
Vol 50 ◽  
Author(s):  
Beatričė Andziulienė ◽  
Žilvinas Jucys
Keyword(s):  
Open Source ◽  
Task Performance ◽  
Completion Time ◽  
Educational Process ◽  
Task Completion ◽  
Text Editor ◽  
Task Completion Time ◽  
Performance Accuracy ◽  
Microsoft Office ◽  
Free Open Source

In order to address ergonomic problems in the process of education, education relevant to the use of ergonomic work tools. The article includes educational process is widely used in a text editor usabilityresults of the study, of the performance experiment. Operating results of the experiment showed that MS Office Word 2007 usability respect ahead of MS Word 2003 and OpenOffice Writer 3.0 applications: task completion time for work in MS Word 2007 editor is 5 percent lower than the same task in MS Word 2003 and 8 percent lower then in Open Office Writer 3.0 editor; navigational errors in learning a task using MS Word 2007 and Word 2003 decreased by 9 times on average, while using OpenOffice Writer 3.0 approximately 3.5-times; task performance accuracy (formatting error) is the best on MS Word 2007, there’s no errors then task is learned. The fact that OpenOffice Writer is a free open source product, this is a relatively well-developed alternative to the commercial Microsoft Office Word.

Effects of Automation Type on Human Performance in Proofreading Tasks

2018 ◽  
Vol 62 (1) ◽  
pp. 1140-1140 ◽  
Author(s):  
Heejin Jeong ◽  
Jangwoon Park ◽  
Jaehyun Park ◽  
Byung Cheol Lee
Keyword(s):  
Task Performance ◽  
Skill Acquisition ◽  
Completion Time ◽  
Human Performance ◽  
Task Completion ◽  
Strong Positive Correlation ◽  
Task Completion Time ◽  
Perceived Trust ◽  
Mental Demand ◽  
Study Results

Automation is ubiquitous and indispensable in modern working environments. It is adopted and used in not only advanced industrial- and technology-oriented operations, but also ordinary home or office computational functions. In general, automated systems aim to improve overall work efficiency and productivity of labor-intensive tasks by decreasing the risk of errors, and cognitive and physical workloads. The systems offer the support for diverse decision-making processes as well. However, the benefits of automation are not consistently achieved and depend on the types and features of automation (Onnasch, Wickens, Li, & Manzey, 2014; Parasuraman, Sheridan, & Wickens, 2000). Possible negative side effects have been reported. Sometimes, automation may lead to multi-tasking environments, which allows operators to be distractive with several tasks. It ultimately prolongs task completion time and causes to neglect monitoring and follow-up steps of the pre-processing tasks (Endsley, 1996). Furthermore, the operators who excessively depend on automation are easily deteriorated in skill acquisition, which is necessary for the emergency or manual operations. Thus, inconsistent performance in automation is a major issue in successful adoption and trust in automation (Jeong, Park, Park, & Lee, 2017). This paper presents an experimental study that investigates the main features and causes of the inconsistency in task performance in different types of automation. Automated proofreading tasks were used in this study, which is one of the most common types of automation we experience in daily life. Based on the similar algorithm of the auto-correct function in Microsoft Word, a custom-built program of five proofreading tasks, including one non-automated and four automated proofreading tasks, were developed using Visual Studio 2015 C#. In the non-automated task used as a reference for individual difference, participants were asked to manually find a typographical error in a sentence. In the automated tasks, auto-correcting functions are provided in two levels (i.e., low and high) of automation and two statuses (i.e., routine and failure of automation). The type of automation is defined as the combinations of a status and a level. Participants identified typographical errors by only an underlined word at the low-level automation, whereas an underlined word with a possible substituting word was given at the high-level. Additionally, in the routine automation status, a correct substituting word is provided. On the other hand, a grammatically incorrect word is given in the failed automation status. Nineteen participants (11 females and 8 males; age mean = 33.8, standard deviation = 19.1) took part in this study. Results of statistical analyses show a clear advantage in high-routine automation, in terms of both task completion time and accuracy. While task performances of high & routine automation types are quite obvious in both task completion time and accuracy, those in the failed automation types are mixed and indistinguishable. Different levels and statues of failed automation do not much influence task performance. Moreover, task completion time and mental demand are strongly correlated, and the accuracy rate and perceived trust show a strong positive correlation. The approaches and outcomes of the current study can provide some insights into the human-automation interaction systems that support human performance and safety, such as in-vehicle warning systems and automated vehicle controls.

scholarly journals Validation of Trade-Off in Human–Automation Interaction: An Empirical Study of Contrasting Office Automation Effects on Task Performance and Workload

2020 ◽  
Vol 10 (4) ◽  
pp. 1288
Author(s):  
Byung Cheol Lee ◽  
Jangwoon Park ◽  
Heejin Jeong ◽  
Jaehyun Park
Keyword(s):  
Task Performance ◽  
Completion Time ◽  
Office Automation ◽  
Task Completion ◽  
Trade Off ◽  
Task Completion Time ◽  
Task Load ◽  
Subjective Workload ◽  
Human Operators ◽  
High Level

Automation aims to improve the task performance and the safety of human operators. The success of automation can be facilitated with well-designed human–automation interaction (HAI), which includes the consideration of a trade-off between the benefits of reliable automation and the cost of Failed automation. This study evaluated four different types of HAIs in order to validate the automation trade-off, and HAI types were configured by the levels and the statuses of office automation. The levels of automation were determined by information amount (i.e., Low and High), and the statues were decided by automation function (i.e., Routine and Failed). Task performance including task completion time and accuracy and subjective workload of participants were measured in the evaluation of the HAIs. Relatively better task performance (short task completion time and high accuracy) were presented in the High level in Routine automation, while no significant effects of automation level were reported in Failed automation. The subjective workload by the National Aeronautics and Space Administration (NASA) Task Load Index (TLX) showed higher workload in High and Failed automation than Low and Failed automation. The type of sub-functions and the task classification can be estimated as major causes of automation trade-off, and dissimilar results between empirical and subjective measures need to be considered in the design of effective HAI.

Foot Interaction Concepts to Support Radiological Interventions

i-com ◽  
2018 ◽  
Vol 17 (1) ◽  
pp. 3-13 ◽  
Author(s):  
Benjamin Hatscher ◽  
Maria Luz ◽  
Christian Hansen
Keyword(s):  
Operating Room ◽  
User Experience ◽  
Completion Time ◽  
Medical Image ◽  
Image Data ◽  
Task Completion ◽  
Task Completion Time ◽  
Interaction Task ◽  
Medical Image Data ◽  
Better Than

AbstractDuring neuroradiological interventions, physicians need to interact with medical image data, which cannot be done while the hands are occupied. We propose foot input concepts with one degree of freedom, which matches a common interaction task in the operating room. We conducted a study to compare our concepts in regards to task completion time, subjective workload and user experience. Relative input performed significantly better than absolute or rate-based input. Our findings may enable more effective computer interactions in the operating room and similar domains where the hands are not available.

scholarly journals Approaches for Motion Control Interface and Tele-Operated Overhead Crane Handling Tasks

Processes ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 2148
Author(s):  
Zhefan Yu ◽  
Jianping Luo ◽  
Han Zhang ◽  
Eiji Onchi ◽  
Seung Hee Lee
Keyword(s):  
Heart Rate ◽  
Task Performance ◽  
Motion Control ◽  
Completion Time ◽  
Task Completion ◽  
Rate Variation ◽  
Prototype System ◽  
Expert Group ◽  
Task Completion Time ◽  
Control Interface

This study aimed to identify the effects of different approaches to a motion control interface (MCI) in tele-operated crane handling tasks. In this study, due to the difficulty of applying the actual equipment to the experiment, we presented a prototype system of a tele-operated overhead handling (TOH) crane. Specifically, we investigated participants’ task performance including the accuracy of task completion during unloading, heart rate variation, workload, and the relationships between these factors when four motion control approaches were used: pointing (P), keyboard (K), orientation (O), hand-free gesture (HG). Experiments were conducted with two groups of participants: 21 university students and 11 crane operators used each of the four control methods. A task condition for handling iron blocks was tested. The efficacy of each motion control approach for task performance was evaluated by a within-subject experiment with a novice group. The expert group was used for comparing the task performance and satisfaction in the prototype system with the novices, evaluating whether the prototype system was reproducible for a real setting in the construction site. The results showed that the task completion time, the weight of physical demand, and the overall scores for workload were significantly impacted by the type of motion control: when HG was used, the task completion time increased. Particularly, using HG had the potential to increase the overall workload score, while physical laboriousness was also potentially increased by HG. Conversely, unloading accuracy, heart rate, and mental demand were not affected by motion control approaches. Generally, the expert group spent more time completing the tasks, but they performed better unloading accuracy than the novices in all methods. Ninety-one percent of the experts gave positive feedback on the reproducibility of the prototype system.

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