Systems For Gathering Information From Units Across A Network
This Study relates to a system comprising: units of a commodity that can be used by respective users in different locations, a user interface, a memory within each of the units of the commodity, a communication element associated with each of the units of the commodity, and a management component.
The user interface, which is part of each of the units of the commodity, is configured to provide a medium for two-way local interaction between one of the users and the corresponding unit of the commodity, and further configured to elicit, from a user, information about the user's perception of the commodity. Each memory is capable of storing results of the two-way local interaction, the results including elicited information about user perception of the commodity, while each communication element is capable of carrying results of the two-way local interaction from each of the units of the commodity to a central location. The management component is capable of managing the interactions of the users in different locations and collecting the results of the interactions at the central location.
- The Winner is guaranteed a minimum amount ($2,000 for a $4,500 Study). The Winner receives a $500 bonus for a winning NPL or Chinese/Japanese patent, and an additional $500 if the winning NPL is non-English.
- Two (2) CrowdSource Experts will receive $500 each.
- Up to five (5) MVRs will receive $100 each.
Please complete the eligibility questionnaire below. The questions apply to the study patent and each reference you submit for this study.
This Study is a request for prior art, including non-patent literature, that provides a path to invalidity for the Study patent claims that is not already known. The Reward is guaranteed to be paid to the Researcher who submits the highest quality prior art.
There is a preferred Latest Date for Prior Art of August 5, 1991.
New matter entered in USSN 243638 is only entitled to a Latest Date for Prior Art of May 15, 1994 with a preferred date of May 15, 1993.
This Study is subject to the Shared Reward program.
Please see the claims in the downloadable copies of the patent.
Please submit prior art references that disclose the elements of the claims and describe their use in the systems, apparatuses and/or methods set forth in the claims.
All submissions must be made by 12 Noon ET on the Study Close Date. You may submit up to the submission limit indicated on your Activity Dashboard. Your submission limit for the Study may be increased based on the quality of your previous submissions for the same Study.
Highlights: When prompted by the submission form, you must highlight the most important parts of your submission in the fields provided. The submission may not be eligible for Rewards if the citations or highlights are incomplete or insufficient.
Translations: A non-English submission must include an English translation of at least the highlighted section. If the reference appears to be relevant, a Reviewer may contact you for an extended translation.
CS Experts: All Experts assigned to this CrowdSource Study must submit the CrowdSource Questionnaire twice. The first Questionnaire is due on Day 10 of the Study, and the second Questionnaire is due during Week 5 or at the completion of the Study. If the Questionnaires are not submitted, the Expert may risk losing the Reward.
The Researcher Agreement and all other eligibility requirements apply. Submissions may not be shared with other Researchers.
Please refer to our FAQ portal if you have any general questions. Feel free to contact AOP Support at email@example.com if you need further information. AOP Support is available Monday-Friday between 9 AM - 5 PM ET. Please allow up to 48 hours for a response as we gather the most accurate information to address your query.
Become a Researcher
To date, Article One has paid out $7,919,592 to the Researchers.
Choose your work
Select research projects that suit your personal preferences.
Receive monetary compensation for submitting high-quality research.
Learn while you earn
Explore new tech areas as you develop your research skills.