Acceptable Use Policy
This Acceptable Use Policy applies to all users of the Fatigue Science Team or Industry Platform (the “Platform”). Please read through this Policy carefully as it contains important information about the Platform and its use.
This Acceptable Use Policy has been published by Fatigue Science as part of its overall efforts to:
- Provide high quality, reliable and stable service to all users of the Fatigue Science Platform.
- Protect the privacy and security of all users, customers, systems and networks.
- Encourage responsible use of the Fatigue Science Platform.
- Ensure compliance with applicable laws and the terms of your agreement.
User ID and Password
You must be an Authorized User (ie, an individual with a unique user id and password) to access and use the Platform. You are responsible for all activities that occur under your Authorized User account.
- Keep your user password confidential.
- Not share your user id or password with anyone outside your organization.
- Not impersonate another user.
- Not provide false identity information to gain access to or use of the Platform.
- Notify Fatigue Science immediately if you become aware of any unauthorized use of your account or of any user ID and password.
The Fatigue Science Team and Industry Platforms are software decision aids designed to assess and forecast effectiveness changes induced by sleep quantity, quality and timing. This information is intended to help schedule planners and managers design team and work schedules that will reduce the risk of athlete/worker fatigue, optimize performance and reduce the risk of fatigue-related accidents.
The Platform uses a patented, bio-mathematical predictive model known as “SAFTE™” (Sleep, Activity, Fatigue and Task Effectiveness). The SAFTE™ model is based on over twenty years of sleep and circadian research and has been validated to make high-quality predictions of cognitive effectiveness for adult subjects under a broad range of conditions. Effectiveness is dependent on the current balance of the sleep regulation process, the circadian process, and sleep inertia – all of which are incorporated into the SAFTE™ model’s predictions.
Based on sleep data and time of day circadian factors, the Fatigue Science Platform generates minute-by-minute measured predictions of cognitive functions through its services.
Predictions from the Platform may not be accurate for any given individual or situation. For a variety of reasons, no model can predict fatigue in all cases or for all individuals. Among the many factors that limit the ability of the SAFTE™ model to accurately assess fatigue in all cases are the following:
1. Not all adults need the same amount of sleep to be optimally effective.
- The model assumes that all adults need 7-9 hours of sleep per day to function optimally. Any given individual may need more or less than that normative value to remain fully alert on the job.
- The model will not accurately reflect an individual’s actual mental fatigue if they are part of the 1/6 of the population that functions optimally on 6-7hr/night, the 1/6 that needs more than 9hr/night, nor for a small set of adults (<1% of the population) who can function optimally on less than 6hr/night.
2. SAFTE™ model scores are only deemed to be 93% accurate after a ReadibandTM device is worn continuously for a period of 72 hours. Every time a ReadibandTM device is ‘reset’ or removed for a period of 18 hours or longer, the 72 hour period starts over again. The SAFTE™ model scores may be less accurate when a ReadibandTM device has been removed from a wrist for significant periods of time, as the model cannot be sure of whether the subject was asleep or awake during those times.
3. Some people may have sleep disorders that the SAFTE™ model cannot take into account, such as narcolepsy or sleep apnea. Furthermore, individuals may use drugs or medications that alter alertness in ways that the SAFTE™ model cannot take into account, and that may or may not affect the restorative nature of their sleep.
4. Not all tasks require the same degree of attention. The SAFTE™ model predicts “effectiveness of an average person on a task especially sensitive to fatigue” and may over or under estimate effectiveness of a particular person on a particular task. The model can give the user an estimate of the range of population error, but cannot predict where a particular person falls within that range.
5. The SAFTE™ model predicts departures of effectiveness of an average person from a normal-rested “baseline”. A prediction of 100 effectiveness is not error free effectiveness; it means that effectiveness is 100 of normal, which means effectiveness may be very good but not perfect and that there is still some risk of error.
6. The SAFTE™ model only predicts average effectiveness such that steps can be taken to reduce the likelihood of error, but it cannot guarantee that for any particular individual under some specific set of circumstances, an unusual lapse in attention might occur that could, under unfavorable conditions, lead to an error, incident, or accident.
7. The SAFTE™ model can only forecast the effects of sleep and circadian rhythms on effectiveness and cannot account for other factors that alter effectiveness such as training, experience, motivation, environmental conditions, stress, boredom, illness, or any of a variety of other variables known to affect effectiveness besides fatigue.
8. Fatigue can result from factors other than restricted sleep or circadian disruption such as excessive workload, medications, chronic fatigue syndrome, exercise, hypoxia, acceleration, temperature, or infection. These factors are not currently considered in the SAFTE™ model predictions.
Confidential Information – Data Protection
Information and data that you access, use, upload or download to or from the Platform contains confidential and proprietary information of your organization and of Fatigue Science, as well as personally identifiable information about individuals (“Data”).
- Use reasonable security precautions when you collect, use, upload or download Data to or from the Platform.
- Not upload, use or process Data in the Platform unless your organization owns and/or has lawfully obtained such Data, and all necessary consents. If you are a wearer of the ReadibandTM device, your access to and use of the Platform constitutes your consent to the use of your Data in connection with the Platform.
- Not disclose, disseminate or distribute Data outside your organization or to anyone who is not authorized to access such Data.
- Not remove any proprietary notices contained in or on any Data or anywhere in the Platform.
- Inform yourself of and comply with laws applicable to your use of Data, in particular, those governing your use of personal data.
- Notify Fatigue Science immediately if you become aware of any known or suspected breach of the security of the Platform.
Platform Use Guidelines
You may use the Platform solely for the internal business purposes of your organization.
You will not:
- Make the Platform available to any third party or otherwise commercially exploit the Platform, whether via sublicense, resale, rent, transfer, time share or otherwise.
- Send spam or otherwise duplicative or unsolicited messages.
- Knowingly send or store infringing, obscene, threatening, libelous, or otherwise unlawful material, including material that violates third party privacy rights.
- Send or store material containing software viruses, worms, Trojan horses or other harmful computer code, files, scripts, agents or programs.
- Interfere with or disrupt the integrity or performance of the Platform or the data contained therein.
- Attempt to gain unauthorized access to the Platform or related systems or networks.
Acknowledgement and Disclaimer
You acknowledge and agree that:
- The output from your use of the Platform (e.g., sleep data, reports, graphs), and any of Fatigue Science’s observations, interpretations or recommendations about such output, may not be accurate for any given individual or situation.
- No technology, including the Platform, can accurately predict fatigue or fatigue induced errors in all cases or for all individuals.
- You and your organization are solely responsible for your collection, use, interpretation and application of the output and information (including personal data) derived from or used in connection with the Platform.
- You will use the Platform and all output generated from the Platform responsibly and in accordance with applicable laws. You will abide by the confidentiality and data privacy policies of your organization.
- You are responsible for any claims, issues or disputes arising out of your acts or omissions, and your participation in your organization’s use of the Platform.
Fatigue Science reserves the right to suspend your, and your organization’s, use of the Platform or take other appropriate remedial action to address any violation or suspected violation of this Acceptable Use Policy. Refunds or credits will not be issued in connection with actions taken for violations of this Acceptable Use Policy.
Updated: June 15, 2016.