Calculating Nasa Tlx Weight

NASA-TLX Weight Calculator: Understand Mental Workload :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ccc; –light-gray: #eee; –white: #fff; } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; display: flex; flex-direction: column; align-items: center; } .container { width: 100%; max-width: 1024px; margin: 20px auto; padding: 20px; background-color: var(–white); box-shadow: 0 0 15px rgba(0, 0, 0, 0.05); border-radius: 8px; } header { background-color: var(–primary-color); color: var(–white); padding: 20px 0; text-align: center; width: 100%; margin-bottom: 20px; border-radius: 8px 8px 0 0; } header h1 { margin: 0; font-size: 2.2em; font-weight: 700; } .subtitle { font-size: 1.1em; color: var(–light-gray); margin-top: 5px; } h2, h3 { color: var(–primary-color); border-bottom: 2px solid var(–primary-color); padding-bottom: 5px; margin-top: 30px; margin-bottom: 20px; } .calculator-section { background-color: var(–white); padding: 25px; border-radius: 8px; margin-bottom: 30px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.02); } .loan-calc-container { display: flex; flex-direction: column; gap: 15px; } .input-group { margin-bottom: 15px; } .input-group label { display: block; margin-bottom: 8px; font-weight: 600; color: var(–primary-color); } .input-group input[type="number"], .input-group select { width: calc(100% – 22px); padding: 10px; border: 1px solid var(–border-color); border-radius: 5px; font-size: 1em; box-sizing: border-box; } .input-group input[type="number"]:focus, .input-group select:focus { border-color: var(–primary-color); outline: none; box-shadow: 0 0 0 3px rgba(0, 74, 153, 0.2); } .helper-text { font-size: 0.85em; color: #666; margin-top: 5px; display: block; } .error-message { color: #dc3545; font-size: 0.8em; margin-top: 5px; display: none; /* Hidden by default */ } .button-group { display: flex; gap: 10px; margin-top: 20px; justify-content: center; flex-wrap: wrap; } button { padding: 12px 20px; border: none; border-radius: 5px; font-size: 1em; font-weight: 600; cursor: pointer; transition: background-color 0.3s ease, transform 0.2s ease; color: var(–white); min-width: 150px; } button.primary { background-color: var(–primary-color); } button.primary:hover { background-color: #003a7a; transform: translateY(-2px); } button.success { background-color: var(–success-color); } button.success:hover { background-color: #218838; transform: translateY(-2px); } button.reset { background-color: #6c757d; } button.reset:hover { background-color: #5a6268; transform: translateY(-2px); } .results-section { background-color: var(–primary-color); color: var(–white); padding: 25px; border-radius: 8px; margin-top: 20px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); text-align: center; } .results-section h3 { color: var(–white); border-bottom: 2px solid var(–white); margin-bottom: 15px; } #main-result { font-size: 2.5em; font-weight: 700; margin: 10px 0; display: block; padding: 10px; background-color: rgba(255, 255, 255, 0.1); border-radius: 5px; } .intermediate-results div { margin-bottom: 10px; font-size: 1.1em; } .intermediate-results span { font-weight: 700; color: #a0c4e8; } .formula-explanation { margin-top: 15px; font-size: 0.9em; font-style: italic; color: rgba(255, 255, 255, 0.8); } table { width: 100%; border-collapse: collapse; margin-top: 20px; margin-bottom: 30px; box-shadow: 0 2px 5px rgba(0,0,0,0.05); } caption { font-size: 1.1em; font-weight: 600; color: var(–primary-color); margin-bottom: 10px; text-align: left; } th, td { padding: 12px 15px; text-align: left; border: 1px solid var(–border-color); } thead th { background-color: var(–primary-color); color: var(–white); font-weight: 700; } tbody tr:nth-child(even) { background-color: var(–light-gray); } canvas { width: 100% !important; height: auto !important; margin-top: 20px; border: 1px solid var(–border-color); border-radius: 5px; background-color: var(–white); } .chart-container { margin-top: 20px; background-color: var(–white); padding: 20px; border-radius: 8px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.02); } .article-content { width: 100%; margin-top: 30px; background-color: var(–white); padding: 30px; border-radius: 8px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.02); } .article-content p { margin-bottom: 15px; } .article-content a { color: var(–primary-color); text-decoration: none; font-weight: 500; } .article-content a:hover { text-decoration: underline; } .faq-item { margin-bottom: 15px; border-left: 3px solid var(–primary-color); padding-left: 15px; background-color: var(–light-gray); border-radius: 5px; } .faq-item strong { color: var(–primary-color); display: block; margin-bottom: 5px; } #related-tools ul { list-style: none; padding: 0; } #related-tools li { margin-bottom: 10px; padding: 10px; border: 1px solid var(–border-color); border-radius: 5px; background-color: var(–light-gray); } #related-tools li:hover { background-color: var(–white); } .tooltip { position: relative; display: inline-block; border-bottom: 1px dotted var(–primary-color); cursor: help; } .tooltip .tooltiptext { visibility: hidden; width: 220px; background-color: #555; color: #fff; text-align: center; border-radius: 6px; padding: 5px 10px; position: absolute; z-index: 1; bottom: 125%; left: 50%; margin-left: -110px; opacity: 0; transition: opacity 0.3s; font-size: 0.8em; line-height: 1.4; } .tooltip .tooltiptext::after { content: ""; position: absolute; top: 100%; left: 50%; margin-left: -5px; border-width: 5px; border-style: solid; border-color: #555 transparent transparent transparent; } .tooltip:hover .tooltiptext { visibility: visible; opacity: 1; } footer { text-align: center; margin-top: 40px; padding: 20px; font-size: 0.9em; color: #666; width: 100%; }

NASA-TLX Weight Calculator

Assess Mental Workload Weighting

NASA-TLX Input Scores

Enter the raw scores (1-21) for each of the six subscales and the subjective weight (0-15) you assign to each. The calculator will then compute the weighted averages.

How mentally demanding was the task? (1-21)
How physically demanding was the task? (1-21)
How hurried or rushed was the pace of the task? (1-21)
How successful were you in accomplishing the goals of the task? (1-21)
How hard did you have to work to accomplish your level of performance? (1-21)
How suspicious, critical, or insecure did you feel about your performance? (1-21)
Subjective importance of Mental Demand (0-15)
Subjective importance of Physical Demand (0-15)
Subjective importance of Temporal Demand (0-15)
Subjective importance of Performance (0-15)
Subjective importance of Effort (0-15)
Subjective importance of Frustration (0-15)

Your NASA-TLX Weighted Scores

Mental Demand Weighted:
Physical Demand Weighted:
Temporal Demand Weighted:
Performance Weighted:
Effort Weighted:
Frustration Weighted:
Total Weight Assigned:

Weighted Score = (Score of Subscale * Weight Assigned to Subscale) / Total Weight Assigned to All Subscales. The main result is the sum of all individual weighted scores.

Copied to clipboard!

NASA-TLX Score Distribution

Visualizing the raw scores and their subjective weights.

{primary_keyword}

The **NASA-TLX weight** is a crucial component of the NASA-Task Load Index (TLX) assessment tool, designed to measure perceived workload. It's not a standalone metric but rather a part of a multi-dimensional rating scale. The NASA-TLX itself is a subjective assessment that operationalizes a theory of workload as the interaction between task demands and operator capabilities. When users complete the NASA-TLX, they rate six subscales: Mental Demand (MD), Physical Demand (PD), Temporal Demand (TD), Performance (PE), Effort (EF), and Frustration (FR). After rating each subscale on a scale of 1 to 21, users are then asked to assign a "weight" to each of these six subscales, indicating how important each dimension was to their overall workload experience. This weighting process is where the concept of **calculating NASA TLX weight** becomes central. The weights are also rated on a scale from 0 to 15. A higher weight signifies that the user considers that particular aspect of workload to be more significant for the task. The raw scores are then multiplied by their assigned weights, summed, and divided by the total weight assigned across all subscales to produce a weighted workload score.

Who should use it: Researchers, human factors specialists, industrial-organizational psychologists, user experience designers, engineers, and anyone involved in studying or optimizing human performance in complex tasks. This includes fields like aviation, healthcare, manufacturing, software development, and gaming. The **NASA-TLX weight calculation** helps in understanding which aspects of a task contribute most to perceived workload, enabling targeted interventions to reduce fatigue, improve efficiency, and enhance safety.

Common misconceptions:

  • Misconception 1: The raw scores alone represent the full workload. Reality: The raw scores are only half the story; the subjective weighting is critical for understanding *which* aspects of workload are most impactful for a given individual and task.
  • Misconception 2: All subscales are equally important. Reality: The weighting step explicitly allows users to differentiate the importance of each subscale, reflecting individual task experiences and cognitive priorities.
  • Misconception 3: The weights are objective measures. Reality: The weights are subjective perceptions, reflecting the user's personal experience and how they prioritize different workload dimensions.
  • Misconception 4: The weighting and scoring are separate and unrelated. Reality: The weighting process is integral to the calculation of the final weighted workload score, providing a more nuanced and personalized assessment than a simple average.

{primary_keyword} Formula and Mathematical Explanation

The core of **calculating NASA TLX weight** involves a two-step process: first, obtaining raw ratings for six workload dimensions, and second, assigning subjective weights to these dimensions. The final weighted TLX score is derived from these inputs.

Step 1: Raw Ratings

Participants rate each of the six subscales (Mental Demand, Physical Demand, Temporal Demand, Performance, Effort, Frustration) on a scale from 1 (very low) to 21 (very high).

Step 2: Subjective Weighting

Participants then assign a weight to each of these six subscales, also on a scale from 0 (not important at all) to 15 (extremely important). The sum of these weights determines the denominator for the weighted score calculation.

Step 3: Weighted Score Calculation

The formula for calculating the weighted score for each subscale is:

Weighted Subscale Score = (Raw Score of Subscale * Weight Assigned to Subscale)

The overall Weighted TLX Score is then calculated as:

Overall Weighted TLX Score = Σ (Weighted Subscale Scores) / Σ (Weights Assigned to All Subscales)

In simpler terms:

Weighted TLX = [(MD * W_MD) + (PD * W_PD) + (TD * W_TD) + (PE * W_PE) + (EF * W_EF) + (FR * W_FR)] / (W_MD + W_PD + W_TD + W_PE + W_EF + W_FR)

Where:

Variables Used in NASA-TLX Weighting
Variable Meaning Unit Typical Range
MD Mental Demand Rating (1-21) 1 – 21
PD Physical Demand Rating (1-21) 1 – 21
TD Temporal Demand Rating (1-21) 1 – 21
PE Performance Rating (1-21) 1 – 21
EF Effort Rating (1-21) 1 – 21
FR Frustration Rating (1-21) 1 – 21
W_MD Subjective Weight for Mental Demand Weight (0-15) 0 – 15
W_PD Subjective Weight for Physical Demand Weight (0-15) 0 – 15
W_TD Subjective Weight for Temporal Demand Weight (0-15) 0 – 15
W_PE Subjective Weight for Performance Weight (0-15) 0 – 15
W_EF Subjective Weight for Effort Weight (0-15) 0 – 15
W_FR Subjective Weight for Frustration Weight (0-15) 0 – 15
Σ (Weights) Sum of all assigned weights Weight Units 0 – 90 (6 * 15)
Weighted TLX Score Overall perceived workload Normalized Score 0 – 100 (approx.)

Note: The resulting Weighted TLX score typically ranges from 0 to 100, though theoretical maximums can exceed this slightly depending on input combinations. The Unweighted TLX score is simply the average of the six raw subscale scores.

Practical Examples of {primary_keyword}

Let's illustrate how **calculating NASA TLX weight** works with practical scenarios.

Example 1: High-Pressure Surgical Procedure

A surgeon performs a complex, time-sensitive surgery.

  • Raw Scores (1-21): MD=18, PD=16, TD=20, PE=17, EF=19, FR=15
  • Subjective Weights (0-15): W_MD=12, W_PD=10, W_TD=14, W_PE=13, W_EF=11, W_FR=9

Calculation:

  • Total Weight = 12 + 10 + 14 + 13 + 11 + 9 = 69
  • Weighted MD = 18 * 12 = 216
  • Weighted PD = 16 * 10 = 160
  • Weighted TD = 20 * 14 = 280
  • Weighted PE = 17 * 13 = 221
  • Weighted EF = 19 * 11 = 209
  • Weighted FR = 15 * 9 = 135
  • Sum of Weighted Scores = 216 + 160 + 280 + 221 + 209 + 135 = 1221
  • Overall Weighted TLX = 1221 / 69 ≈ 17.69

Interpretation: The surgeon perceives this surgery as extremely high workload (17.69). Notice how Temporal Demand (TD) and Mental Demand (MD) were rated highly and also assigned high weights, indicating these were the most critical factors contributing to the perceived workload. This highlights the need for efficient procedures, clear communication, and potentially reducing time constraints if possible.

Example 2: Routine Data Entry Task

An administrative assistant performs a standard data entry task.

  • Raw Scores (1-21): MD=8, PD=4, TD=6, PE=7, EF=9, FR=5
  • Subjective Weights (0-15): W_MD=5, W_PD=2, W_TD=7, W_PE=6, W_EF=8, W_FR=3

Calculation:

  • Total Weight = 5 + 2 + 7 + 6 + 8 + 3 = 31
  • Weighted MD = 8 * 5 = 40
  • Weighted PD = 4 * 2 = 8
  • Weighted TD = 6 * 7 = 42
  • Weighted PE = 7 * 6 = 42
  • Weighted EF = 9 * 8 = 72
  • Weighted FR = 5 * 3 = 15
  • Sum of Weighted Scores = 40 + 8 + 42 + 42 + 72 + 15 = 219
  • Overall Weighted TLX = 219 / 31 ≈ 7.06

Interpretation: The data entry task has a low perceived workload (7.06). Even though Effort (EF) and Temporal Demand (TD) received the highest weights, their raw scores were moderate, keeping the overall score manageable. This suggests the task is not overly taxing, but perhaps efficiency improvements (related to Effort) or managing the pace (Temporal Demand) are areas for minor optimization if needed. The low weights for Physical Demand (PD) and Frustration (FR) indicate these were not significant concerns for the assistant during this task.

How to Use This {primary_keyword} Calculator

Using this calculator to determine your **NASA-TLX weight** is straightforward and designed for ease of use.

  1. Step 1: Rate the Workload Dimensions: After completing a specific task, honestly rate your perception of each of the six subscales (Mental Demand, Physical Demand, Temporal Demand, Performance, Effort, Frustration) on a scale of 1 to 21. Enter these numbers into the corresponding input fields. A score of 1 means very low demand/effort/frustration, or very high performance, while 21 means very high demand/effort/frustration, or very low performance.
  2. Step 2: Assign Subjective Weights: Next, consider how important each of those six dimensions was to your overall experience of the task. Assign a weight from 0 to 15 for each subscale. Enter these weights into the "Weight" fields. A weight of 0 means that subscale was not important at all to your workload perception, while 15 means it was extremely important.
  3. Step 3: Calculate: Click the "Calculate Weights" button. The calculator will automatically apply the NASA-TLX weighting formula.
  4. Step 4: Interpret Results:
    • Main Result (Highlighted): This is your overall Weighted TLX score, typically ranging from 0-100. Higher scores indicate a greater perceived workload.
    • Intermediate Values: These show the calculated weighted score for each individual subscale and the total weight you assigned across all subscales. They provide a breakdown of what contributed most to your overall score.
    • Chart: The bar chart visually compares your raw scores against your assigned weights for each subscale, offering a quick insight into the perceived importance versus the actual demand of each dimension.
  5. Step 5: Reset or Copy:
    • Click "Reset" to clear all fields and start over with default weights.
    • Click "Copy Results" to copy the main result, intermediate values, and key assumptions (like the formula used) to your clipboard for easy sharing or documentation.

Decision-Making Guidance: A high overall weighted score suggests the task was perceived as demanding. Analyzing the individual weighted scores can pinpoint specific areas of concern. For instance, a high weighted Mental Demand score might prompt an investigation into task complexity, information processing requirements, or decision-making loads. A high weighted Temporal Demand score could indicate issues with pacing, time pressure, or task scheduling. Use these insights to redesign tasks, improve training, modify environments, or provide support to reduce excessive workload and enhance performance and well-being.

Key Factors That Affect {primary_keyword} Results

Several factors can influence both the raw scores and the subjective weights assigned in the NASA-TLX, thereby impacting the final **NASA-TLX weight** calculation. Understanding these factors is key to accurate interpretation.

  1. Task Complexity: More complex tasks inherently demand greater cognitive resources (Mental Demand) and often require more effort (Effort). The *perception* of complexity, and thus the resulting scores and weights, can vary significantly between individuals.
  2. Time Pressure: Tasks with strict deadlines or limited time increase Temporal Demand. If time is critical to success, Temporal Demand might also receive a higher subjective weight, significantly boosting the overall workload score.
  3. Required Skill Level: Tasks that require specialized skills or extensive training may lead to higher perceived Mental Demand and Effort. If the user is less proficient, they might also rate Performance lower and Frustration higher.
  4. System Interface & Design: Poorly designed interfaces, confusing instructions, or inefficient workflows can artificially inflate Mental Demand, Temporal Demand, and Effort scores. Users might assign higher weights to these if they feel the system design is a primary contributor to their struggle. This is a key area for UX analysis.
  5. Environmental Factors: Distractions, noise, poor lighting, uncomfortable ergonomics, or high stakes (e.g., safety-critical environments) can increase perceived workload across multiple dimensions, including Physical Demand, Mental Demand, and Frustration. Users might weight these environmental stressors heavily.
  6. Individual Differences: Personality traits (e.g., tolerance for ambiguity, stress response), baseline skill levels, fatigue, motivation, and prior experience all play a role. One person might find a task mentally demanding while another does not, leading to different scores and weights. Understanding the user's background is vital.
  7. Nature of Performance Measurement: How "Performance" is defined and measured (e.g., accuracy, speed, completeness) can influence both the score and the weight assigned. If achieving a certain performance level is paramount and difficult, it will likely be highly weighted.

Frequently Asked Questions (FAQ)

Q1: What is the difference between the raw TLX score and the weighted TLX score?

The raw TLX score is the simple average of the six subscale ratings (1-21). The weighted TLX score incorporates subjective weights assigned by the user to each subscale, providing a more personalized measure where dimensions deemed more important by the user have a greater impact on the final score. The **calculating NASA TLX weight** specifically refers to this weighted score.

Q2: Can the weighted TLX score exceed 100?

Theoretically, yes, but in practice, it's uncommon. The raw scores are 1-21, and weights are 0-15. The weighted score is a ratio. If, for example, all raw scores were 21 and all weights were 15, the sum of weighted scores would be (6 * 21 * 15) = 1890, and the total weight would be (6 * 15) = 90. The weighted score would be 1890 / 90 = 21. However, scaling to a 0-100 range is typical for interpretation. The calculator aims to provide a value reflective of the ratio.

Q3: What does a weight of 0 mean?

A weight of 0 assigned to a subscale means that, for the user's experience of that specific task, that particular dimension of workload was not considered important or relevant to their overall perception of workload. It effectively removes that subscale's raw score from influencing the final weighted score, as it will be multiplied by zero.

Q4: How should I interpret the intermediate weighted scores (e.g., Weighted MD)?

The intermediate weighted score for a subscale (e.g., Weighted MD = Raw MD * Weight MD) represents the contribution of that specific dimension to the total weighted workload, before normalization. It helps identify which factors are driving the overall score the most. Higher intermediate weighted scores indicate that the combination of high demand/low performance and high perceived importance for that subscale significantly impacted the user's experience.

Q5: Is the NASA-TLX primarily for physical or mental workload?

The NASA-TLX is designed to assess *overall perceived workload*, which is a multidimensional construct. It explicitly includes both Mental Demand and Physical Demand as separate subscales, along with Temporal Demand, Performance, Effort, and Frustration. This allows for a comprehensive evaluation that captures both cognitive and physical aspects, as well as effort and subjective feelings. The **NASA-TLX weight** allows users to emphasize whichever aspects they found most salient.

Q6: Can I use the same weights for different tasks?

It is generally recommended to assign weights specific to each task. The importance of different workload dimensions (e.g., physical vs. mental vs. time pressure) can vary dramatically from one task to another. Using task-specific weights provides a more accurate and meaningful assessment of workload for each unique situation.

Q7: What is the difference between NASA-TLX and simpler workload measures?

Simpler measures might focus on a single dimension (e.g., just perceived mental effort) or use a less granular scale. The NASA-TLX, with its six subscales and the weighting procedure, offers a more nuanced and comprehensive understanding of workload. The **calculating NASA TLX weight** aspect allows for a personalized assessment, which simpler tools may lack.

Q8: How do I use the results of the weighted NASA-TLX for design improvements?

High weighted scores, especially those driven by specific subscales that were also given high weights, point to areas needing attention. For example, if Temporal Demand is high and weighted heavily, look for ways to improve task pacing or reduce time constraints. If Mental Demand is high and weighted heavily, consider simplifying task procedures, improving information display, or providing decision support. The goal is to reduce the factors contributing to high perceived workload, particularly those the user themselves identifies as important.

© 2023-2024 Your Company Name. All rights reserved.

function validateInput(inputId, errorId, min, max, allowZero = false) { var input = document.getElementById(inputId); var errorElement = document.getElementById(errorId); var value = parseFloat(input.value); errorElement.style.display = 'none'; input.style.borderColor = '#ccc'; if (input.value === "") { errorElement.textContent = "This field cannot be empty."; errorElement.style.display = 'block'; input.style.borderColor = '#dc3545'; return false; } if (isNaN(value)) { errorElement.textContent = "Please enter a valid number."; errorElement.style.display = 'block'; input.style.borderColor = '#dc3545'; return false; } if (!allowZero && value === 0) { errorElement.textContent = "Value must be greater than zero."; errorElement.style.display = 'block'; input.style.borderColor = '#dc3545'; return false; } if (value max) { errorElement.textContent = "Value cannot be greater than " + max + "."; errorElement.style.display = 'block'; input.style.borderColor = '#dc3545'; return false; } return true; } function calculateNASA_TLX() { var valid = true; var inputsToValidate = [ { id: "mentalDemand", errorId: "mentalDemandError", min: 1, max: 21 }, { id: "physicalDemand", errorId: "physicalDemandError", min: 1, max: 21 }, { id: "temporalDemand", errorId: "temporalDemandError", min: 1, max: 21 }, { id: "performance", errorId: "performanceError", min: 1, max: 21 }, { id: "effort", errorId: "effortError", min: 1, max: 21 }, { id: "frustration", errorId: "frustrationError", min: 1, max: 21 }, { id: "weightMD", errorId: "weightMDError", min: 0, max: 15, allowZero: true }, { id: "weightPD", errorId: "weightPDError", min: 0, max: 15, allowZero: true }, { id: "weightTD", errorId: "weightTDError", min: 0, max: 15, allowZero: true }, { id: "weightPE", errorId: "weightPEError", min: 0, max: 15, allowZero: true }, { id: "weightEF", errorId: "weightEFError", min: 0, max: 15, allowZero: true }, { id: "weightFR", errorId: "weightFRError", min: 0, max: 15, allowZero: true } ]; for (var i = 0; i < inputsToValidate.length; i++) { if (!validateInput(inputsToValidate[i].id, inputsToValidate[i].errorId, inputsToValidate[i].min, inputsToValidate[i].max, inputsToValidate[i].allowZero)) { valid = false; } } if (!valid) { document.getElementById('results-section').style.display = 'none'; return; } var md = parseFloat(document.getElementById("mentalDemand").value); var pd = parseFloat(document.getElementById("physicalDemand").value); var td = parseFloat(document.getElementById("temporalDemand").value); var pe = parseFloat(document.getElementById("performance").value); var ef = parseFloat(document.getElementById("effort").value); var fr = parseFloat(document.getElementById("frustration").value); var w_md = parseFloat(document.getElementById("weightMD").value); var w_pd = parseFloat(document.getElementById("weightPD").value); var w_td = parseFloat(document.getElementById("weightTD").value); var w_pe = parseFloat(document.getElementById("weightPE").value); var w_ef = parseFloat(document.getElementById("weightEF").value); var w_fr = parseFloat(document.getElementById("weightFR").value); var totalWeight = w_md + w_pd + w_td + w_pe + w_ef + w_fr; if (totalWeight === 0) { document.getElementById('main-result').textContent = "N/A"; document.getElementById('weightedAvgMD').innerHTML = 'Mental Demand Weighted: N/A'; document.getElementById('weightedAvgPD').innerHTML = 'Physical Demand Weighted: N/A'; document.getElementById('weightedAvgTD').innerHTML = 'Temporal Demand Weighted: N/A'; document.getElementById('weightedAvgPE').innerHTML = 'Performance Weighted: N/A'; document.getElementById('weightedAvgEF').innerHTML = 'Effort Weighted: N/A'; document.getElementById('weightedAvgFR').innerHTML = 'Frustration Weighted: N/A'; document.getElementById('totalWeight').innerHTML = 'Total Weight Assigned: 0'; document.getElementById('results-section').style.display = 'block'; updateChart([md, pd, td, pe, ef, fr], [w_md, w_pd, w_td, w_pe, w_ef, w_fr]); return; } var weightedMD = (md * w_md); var weightedPD = (pd * w_pd); var weightedTD = (td * w_td); var weightedPE = (pe * w_pe); var weightedEF = (ef * w_ef); var weightedFR = (fr * w_fr); var totalWeightedScore = weightedMD + weightedPD + weightedTD + weightedPE + weightedEF + weightedFR; var overallWeightedTLX = totalWeightedScore / totalWeight; document.getElementById('main-result').textContent = overallWeightedTLX.toFixed(2); document.getElementById('weightedAvgMD').innerHTML = 'Mental Demand Weighted: ' + weightedMD.toFixed(2) + ''; document.getElementById('weightedAvgPD').innerHTML = 'Physical Demand Weighted: ' + weightedPD.toFixed(2) + ''; document.getElementById('weightedAvgTD').innerHTML = 'Temporal Demand Weighted: ' + weightedTD.toFixed(2) + ''; document.getElementById('weightedAvgPE').innerHTML = 'Performance Weighted: ' + weightedPE.toFixed(2) + ''; document.getElementById('weightedAvgEF').innerHTML = 'Effort Weighted: ' + weightedEF.toFixed(2) + ''; document.getElementById('weightedAvgFR').innerHTML = 'Frustration Weighted: ' + weightedFR.toFixed(2) + ''; document.getElementById('totalWeight').innerHTML = 'Total Weight Assigned: ' + totalWeight.toFixed(2) + ''; document.getElementById('results-section').style.display = 'block'; updateChart([md, pd, td, pe, ef, fr], [w_md, w_pd, w_td, w_pe, w_ef, w_fr]); } function resetCalculator() { document.getElementById("mentalDemand").value = ""; document.getElementById("physicalDemand").value = ""; document.getElementById("temporalDemand").value = ""; document.getElementById("performance").value = ""; document.getElementById("effort").value = ""; document.getElementById("frustration").value = ""; document.getElementById("weightMD").value = "1"; document.getElementById("weightPD").value = "1"; document.getElementById("weightTD").value = "1"; document.getElementById("weightPE").value = "1"; document.getElementById("weightEF").value = "1"; document.getElementById("weightFR").value = "1"; document.getElementById('results-section').style.display = 'none'; document.getElementById('copy-message').style.display = 'none'; var errorElements = document.querySelectorAll('.error-message'); for (var i = 0; i < errorElements.length; i++) { errorElements[i].style.display = 'none'; } var inputs = document.querySelectorAll('.loan-calc-container input'); for (var i = 0; i < inputs.length; i++) { inputs[i].style.borderColor = '#ccc'; } } function copyResults() { var mainResult = document.getElementById('main-result').textContent; if (mainResult === "–") return; var weightedMD = document.getElementById('weightedAvgMD').textContent.replace('Mental Demand Weighted: ', ''); var weightedPD = document.getElementById('weightedAvgPD').textContent.replace('Physical Demand Weighted: ', ''); var weightedTD = document.getElementById('weightedAvgTD').textContent.replace('Temporal Demand Weighted: ', ''); var weightedPE = document.getElementById('weightedAvgPE').textContent.replace('Performance Weighted: ', ''); var weightedEF = document.getElementById('weightedAvgEF').textContent.replace('Effort Weighted: ', ''); var weightedFR = document.getElementById('weightedAvgFR').textContent.replace('Frustration Weighted: ', ''); var totalWeight = document.getElementById('totalWeight').textContent.replace('Total Weight Assigned: ', ''); var assumptions = "Formula Used: Weighted Score = (Score * Weight) / Total Weight\n"; assumptions += "Key Assumptions:\n"; assumptions += "- Total Weight Assigned: " + totalWeight + "\n"; var textToCopy = "NASA-TLX Weighted Score: " + mainResult + "\n\n"; textToCopy += "Breakdown:\n"; textToCopy += "- Mental Demand Weighted: " + weightedMD + "\n"; textToCopy += "- Physical Demand Weighted: " + weightedPD + "\n"; textToCopy += "- Temporal Demand Weighted: " + weightedTD + "\n"; textToCopy += "- Performance Weighted: " + weightedPE + "\n"; textToCopy += "- Effort Weighted: " + weightedEF + "\n"; textToCopy += "- Frustration Weighted: " + weightedFR + "\n\n"; textToCopy += assumptions; navigator.clipboard.writeText(textToCopy).then(function() { var copyMessage = document.getElementById('copy-message'); copyMessage.style.display = 'block'; setTimeout(function() { copyMessage.style.display = 'none'; }, 2000); }).catch(function(err) { console.error('Failed to copy text: ', err); }); } var nasaTlxChart; function updateChart(rawScores, weights) { var ctx = document.getElementById('nasaTlxChart').getContext('2d'); if (nasaTlxChart) { nasaTlxChart.destroy(); } var labels = ['Mental Demand', 'Physical Demand', 'Temporal Demand', 'Performance', 'Effort', 'Frustration']; nasaTlxChart = new Chart(ctx, { type: 'bar', data: { labels: labels, datasets: [{ label: 'Raw Score (1-21)', data: rawScores, backgroundColor: 'rgba(0, 74, 153, 0.6)', borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1 }, { label: 'Assigned Weight (0-15)', data: weights, backgroundColor: 'rgba(40, 167, 69, 0.6)', borderColor: 'rgba(40, 167, 69, 1)', borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, max: 21, title: { display: true, text: 'Score / Weight Value' } }, x: { title: { display: true, text: 'Workload Dimension' } } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Raw Scores vs. Subjective Weights' } } } }); } // Initialize chart with default values or empty state on load window.onload = function() { var initialRawScores = [1, 1, 1, 1, 1, 1]; var initialWeights = [1, 1, 1, 1, 1, 1]; updateChart(initialRawScores, initialWeights); };

Leave a Comment