Systems For Automated Collection Of Information And Feedback Responsive Thereto
This Study relate to two patents that claim systems that enable the collection and transmission of information and feedback between users and providers of products. The patents are related.
One system includes a server that is electronically accessible to multiple client systems having products, services, software or information. The server includes: (i) means for storing information indicative of problems and solutions for using respective products, services, software, or information in the client systems, and (ii) means for executing software.
A second system is for use with units of a computer product that are in use respectively by different users, and includes a user interface which is part of each of the units of the computer product and provides a medium for two-way local interaction between the user and the unit of the product, interaction scripts, a triggering element, a communication element, and a generation element that enables generation of new interaction scripts.
Additional features are described in the Details page for each patent.
- 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) CrowdSearch 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 CrowdSearch Study must submit the Expert 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. Study participants not assigned as Experts are not asked to submit the Questionnaire.
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 firstname.lastname@example.org 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.