Usability Test and Cognitive Analyses During the Task of Using Wireless Earphones

2018 ◽  
pp. 241-263
Author(s):  
Nora G. Bustamante ◽  
Aide Aracely Maldonado Macías ◽  
Adrian A. Durán ◽  
Juan Carlos Ortiz Nicolás ◽  
Andres R. Quiñones
Keyword(s):  
Mobile Phone ◽  
Task Analysis ◽  
Mental Workload ◽  
Human Errors ◽  
Hierarchical Task Analysis ◽  
Novel Technologies ◽  
Usability Test ◽  
Nasa Tlx

The use of novel technologies can be complicated for some people; even products designed for everyday use can present problems. If a product is difficult to use, it causes frustration and prevents usage. The objectives of this study are to conduct a usability test, assess the mental workload, and identify potential human errors during the process of listening to music using wireless earphones from a mobile phone device to detect which operations were the hardest in order to suggest modifications to the design and to bring a better experience to the user. During the usability test some difficulties among users were detected and a hierarchical task analysis (HTA) was developed. NASA-TLX and SHERPA methods were applied. The use of these earphones resulted in an intermediate mental workload, and four types of human errors were identified. The methods used in this study helped to detect those difficult tasks and subtasks for the users.

scholarly journals Application of NASA-TLX and SHERPA in Setting Up Fused Filament Fabrication Equipment

2019 ◽  
Vol 63 (1) ◽  
pp. 2175-2179
Keyword(s):  
Human Error ◽  
New Technologies ◽  
Mental Workload ◽  
Complete Analysis ◽  
Fused Filament Fabrication ◽  
Human Errors ◽  
Hierarchical Task Analysis ◽  
Mental Demand ◽  
Learning And Adaptation ◽  
Nasa Tlx

The use of new technologies in productive processes nowadays poses a challenge to the users, mainly because those technologies create them a necessity for learning and adaptation. This study focused on the assessment and analysis of mental workload and human error as experienced by users of Fused Filament Fabrication (FFF) printers, which is the most recent development in a series of technologies known as Additive Manufacturing (AM). Eight subjects were asked to complete the setting up of three commercial FFF equipment. Hierarchical Task Analysis (HTA) was used to describe the tasks. NASA-TLX method was used to assess the mental workload involved, and SHERPA method was applied to identify human errors while completing the task. The results of HTA show that leveling the printing bed is the most demanding activity on the subject's concentration. NASA-TLX shows that Mental Demand subscale had the highest average punctuation with 78.75 points, followed by Temporal Demand with an average of 61 points. As for SHERPA analysis, 59 human errors were identified in that particular task. In detail, 54.2% were action errors, 22.0% were selection errors, and 18.6% were checking errors. The combination of HTA, NASA-TLX and SHERPA techniques, permitted a complete analysis of the interaction between humans and this technology, opening the way to improvements in the design of FFT equipment which possibly might prevent future effects on user’s health.

scholarly journals Examining the Effect of Interruptions at Different Breakpoints and Frequencies Within a Task

2021 ◽  
pp. 001872082110090
Author(s):  
Sarah A. Powers ◽  
Mark W. Scerbo
Keyword(s):  
Task Analysis ◽  
Mental Workload ◽  
Task Structure ◽  
Trip Planning ◽  
Hierarchical Task Analysis ◽  
The Third ◽  
Initial Task ◽  
Event Segmentation Theory ◽  
Negative Effect ◽  
Within Subjects

Objective The purpose was to explore how event segmentation theory (EST) can be used to determine optimal moments for an interruption relying on hierarchical task analysis (HTA) to identify coarse and fine event boundaries. Background Research on the effects of interruptions shows that they can be either disruptive or beneficial, depending on which aspects of an interruption are manipulated. Two important aspects that contribute to these conflicting results concern when and how often interruptions occur. Method Undergraduates completed a trip planning task divided into three subtasks. The within-subjects factor was interruption timing with three levels: none, coarse breakpoints, and fine breakpoints. The between-subjects factor was interruption frequency with two levels: one and three. The dependent measures included resumption lag, number of errors, mental workload, and frustration. Results Participants took longer to resume the primary task and reported higher mental workload when interruptions occurred at fine breakpoints. The effect of interruptions at coarse breakpoints was similar to completing the task without interruption. Interruption frequency had no effect on performance; however, participants spent significantly longer attending to interruptions in the initial task, and within a task, the first and second interruptions were attended to significantly longer than the third interruption. Conclusion The disruptiveness of an interruption is tied to the point within the task hierarchy where it occurs. Application The performance cost associated with interruptions must be considered within the task structure. Interruptions occurring at coarse breakpoints may not be disruptive or have a negative effect on mental workload.

AN APPROACH FOR HUMAN ERROR MODES AND EFFECTS ANALYSIS USING HTA+ETA

2008 ◽  
Vol 15 (05) ◽  
pp. 465-478
Author(s):  
SUN ZHIQIANG ◽  
XIE HONGWEI ◽  
SHI XIUJIAN ◽  
LIU FENGQIANG ◽  
LI ZHENGYI
Keyword(s):  
Task Analysis ◽  
Human Error ◽  
Event Tree ◽  
Analysis Method ◽  
Event Tree Analysis ◽  
Human Errors ◽  
Hierarchical Task Analysis ◽  
Tree Analysis ◽  
Generic Framework ◽  
Analytical Tools

A framework for human error modes and effects analysis is presented. The methods of hierarchical task analysis and event tree analysis are introduced as the basic analytical tools, and a novel generic framework for human errors classification is presented as the guidance to identify human errors. Firstly, the process of human error modes and effects analysis is discussed, and the hierarchical task analysis method is introduced briefly. Secondly, the framework for human errors classification is discussed in detail. Thirdly, the multi-states event tree is designed to model the accident scenario. Finally, two scenarios are selected as the examples to illustrate the proposed process of human error modes and effects analysis.

scholarly journals Applying Hierarchical Task Analysis to Depict Human Safety Errors during Pesticide Use in Vineyard Cultivation

Agriculture ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 158 ◽  
Author(s):  
Fargnoli ◽  
Lombardi ◽  
Puri
Keyword(s):  
Task Analysis ◽  
Current Knowledge ◽  
Health And Safety ◽  
Point Of View ◽  
Pesticide Use ◽  
Human Errors ◽  
Hierarchical Task Analysis ◽  
Human Safety ◽  
Research Gap ◽  
Larger Sample

The use of pesticides in agriculture is a significant problem at a global level, not only from an environmental perspective but also from the farmers’ health and safety point of view. In the literature, several studies have discussed the safe behavior and risk perception of farmers. However, human errors when dealing with pesticides and the related work equipment are rarely considered. To reduce this research gap, a study of the human safety errors in pesticide use based on hierarchical task analysis is proposed. In particular, such a bottom-up approach was applied to vineyard cultivation and considered all the activities that operators carry out when using pesticides. The results of this study showed that most of the identified human errors were action errors, i.e., potential failures of the operator in completing the activity successfully. In addition, retrieval and checking errors resulted in being rather common. These outputs shed light on the gap between the information received and the practical need for operators to reduce their failure to perform specific activities. Therefore, while the present study augments current knowledge on the safe use of pesticides, further research is needed to address human errors in agricultural activities, thus extending these results to a larger sample size as well as to other cultivation types.

Doctors' handovers in an acute medical assessment unit: A hierarchical task analysis

2010 ◽  
Author(s):  
Michelle A. Raduma-Tomas ◽  
Rhona Flin ◽  
Steven Yule ◽  
Steven Close
Keyword(s):  
Task Analysis ◽  
Medical Assessment ◽  
Hierarchical Task Analysis ◽  
Assessment Unit

Evaluation of Subjective Mental Workload: A Comparison of SWAT, NASA-TLX, and Workload Profile Methods

2004 ◽  
Vol 53 (1) ◽  
pp. 61-86 ◽  
Author(s):  
Susana Rubio ◽  
Eva Diaz ◽  
Jesus Martin ◽  
Jose M. Puente
Keyword(s):  
Mental Workload ◽  
Nasa Tlx

Surgical simulation workflow representation using hierarchical task analysis and statecharts: Implementation on the evolution engine

2014 ◽  
Author(s):  
Justin MacKenzie ◽  
Shaun Carnegie ◽  
James Schmalz ◽  
Mike Schmalz ◽  
Sandrine de Ribaupierre ◽  
...  
Keyword(s):  
Task Analysis ◽  
Surgical Simulation ◽  
Hierarchical Task Analysis

The Effects of Practice on Navigation Performance and Mental Workload with a Mirror-In-The-Sky Map

2021 ◽  
Vol 65 (1) ◽  
pp. 1546-1550
Author(s):  
Holland M. Vasquez ◽  
Justin G. Hollands ◽  
Greg A. Jamieson
Keyword(s):  
Task Performance ◽  
Secondary Task ◽  
Mental Workload ◽  
Task Completion ◽  
Practice Performance ◽  
Global Ratings ◽  
Detection Response ◽  
Nasa Tlx ◽  
Response Task ◽  
Completion Times

Some previous research using a new augmented reality map display called Mirror-in-the-Sky (MitS) showed that performance was worse and mental workload (MWL) greater with MitS relative to a track-up map for navigation and wayfinding tasks. The purpose of the current study was to determine—for both MitS and track-up map—how much performance improves and MWL decreases with practice in a simple navigation task. We conducted a three-session experiment in which twenty participants completed a route following task in a virtual environment. Task completion times and collisions decreased, subjective MWL decreased, and secondary task performance improved with practice. The NASA-TLX Global ratings and Detection Response Task Hit Rates showed a larger decrease in MWL with MitS than the track-up map. Additionally, means for performance and workload measures showed that differences between the MitS and track-up map decreased in the first session. In later sessions the differences between the MitS and track-up map were negligible. As such, with practice performance and MWL may be comparable to a traditional track-up map.

Pengukuran Beban Kerja Mental Job Driver Dan Swamper Team Fuel Menggunakan NASA-TLX

2022 ◽  
Vol 8 (2) ◽  
pp. 333-338
Author(s):  
Muhammad Qurthuby
Keyword(s):  
Work Stress ◽  
Work Motivation ◽  
Mental Workload ◽  
Emotional Reactions ◽  
Skill Levels ◽  
Physical Demand ◽  
Mental Demand ◽  
Work Accident ◽  
Nasa Tlx ◽  
Very High

Giving excessive workloads causes work stress both physically and psychologically and emotional reactions. The excess workload experienced by drivers and swampers at PT XYZ results in reduced attention at work, decreased work motivation, and decreased skill levels, thus affecting drivers and swampers productivity and the chance of a work accident is very high. This study aims to measure the Mental Workload of Job Driver and Swampers Fuel Tank Using the NASA-TLX Method. The NASA-TLX score obtained 93.8, driver 2  get 83.7, driver 3  91.3, swamper 1  91, swamper 2 89.5, and swamper 3 94.7. Elements of mental workload that are very influential are Mental Demand with a percentage of 22%, Effort 20%, Physical Demand 18%, Own Performance 15%, Frustation Level 15% and Temporal Demand 12%.

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