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Theory, Analysis and Reviews on UX User Experience Research and Design

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Recent Advanced IP Litigation Research Methodologies Developed and Validated by Mauro Usability Science

Over the past year, our research group has been focused on the development and validation of several advanced intellectual property (IP) litigation research methodologies designed to provide demanding litigation teams with robust and validated testing expertise. Our formal research and development effort has focused on the following 3 areas:

1 Updates to our Empirical Ordinary Observer Test (EOOT) Based on Acceptance by the Court.

2 Migration of EOOT Methodology to Cover Trade Dress and Copyright Litigation Cases.

3 Formal Research on the Problems Related to the Use of Design Experts in Design Patent Litigation.
The genesis for these methodologies flows from legal client requests for specialized research needs focused on complex IP litigation research problems in new and developing technology domains. Below are summaries of the new methods under each major research category. All three methodologies have been validated in large-scale client projects.
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Recent Advanced Human Factors Science Research Methodologies Developed and Validated by Mauro Usability Science

Over the past year, our research group has been focused on the development and validation of several advanced human factors research methodologies designed to provide demanding product development groups with robust and validated human factors testing expertise. The following six summaries cover a portion of the research methodologies we have developed and validated. A detailed description of each methodology follows the list. All methods have been validated in major client projects.

1 eSports Human Factors Gameplay Optimization.

2 Methodology for Development of Psycho-Socially Salient MVP Feature Sets Designed to Increase Likelihood of User Adoption for New Products and Services.

3 Advanced Human Factors / Usability Fit and Comfort Assessment for AR Glasses / VR Headset and Wrist-Worn devices.

4 Advanced Website Usability Optimization Methodology Focusing on User Navigational Performance and Related Business Impact Modeling for Critical e-Com Use Cases.

5 AGILE Medical Device Summative Human Factors / Usability Testing Focusing on Rapid IFU Optimization and Cost Reduction.

6 Updates to the Empirical Ordinary Observer Test (EOOT) Developed by MUS and Accepted by the Court in Major Design Patent Litigation.

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Mauro Usability Science Announces 3 New Advanced Human Factors Research and Usability Testing Methodologies for Medical Products

Over the past year, our research group has been focused on the development and real-world validation of three new advanced human factors testing methodologies. The genesis for these methodologies flows from client requests that have identified specialized research needs focused on complex problems and cost reduction efforts. Below are short summaries of each problem and the new methodology that provides the related solution set. All three methodologies have been validated in large-scale client projects. Continue Reading…

How UX Research Started In Weapons Development During WW2 and Why It Matters To The Ukrainian Conflict

Most who utilize or practice UX research today are stunned to learn that modern UX research finds its beginnings in the killing fields of WW2 and weapons development. This is a significant historical fact that has a direct bearing on how UX research is conducted today. Even more surprising, it is also related to how the relatively small Ukrainian army has been able to wreak havoc on the Russian advance. It’s all about UX research in ways that are both surprising and deeply insightful.

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Mauro Usability Science Neuroscience-Based Human Factors Testing and UX Optimization Expertise Profile

What We Do

Founded in 1975, we are a leading provider of science-based human factors research focused on UX optimization and product development. Below is a brief listing of our human factors testing methodologies. We are a formal development partner of iMotions and have validated our testing methods for stability on the iMotions platform. Our clients include many leading high-tech entities, leading NGOs, and government agencies. We have received awards and citations for human factors/design research from NASA, ACM, HFES, IDSA. Our expertise also includes extensive experience in intellectual property litigation and related IP frameworks. Feel free to contact our research team for further information. For expanded content please visit our Corporate website.

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Metaverse Is The Future! Well, Not So Fast Mr. Zuckerberg. Research Says Otherwise!

Of late, there has been a surprising amount of talk about the future of our digital experiences resting on the concept of the Metaverse. This was brought to a recent apogee by the renaming of FaceBook to META, and the extensive presentation of Mark Zuckerberg’s vision of the META version of the Metaverse. The Zuckerberg vision was followed in lockstep by a similar metaverse concept proffered by Microsoft known as MESH for Teams. Apparently, both Microsoft and Mr. Zuckerberg believe that metaverse systems will constitute the future of digital interfaces for the vast majority of humans. Well, not so fast, research suggests otherwise.

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The Human Factors Science Behind Mail-In Voting…The Surprising Complexity Problems Impacting Voter Participation

Electronic Voting Machines, Mail-in Ballots vs. U.S. Democracy: There has been a lot of media buzz over the last few years about how voting tech will save democracy. In this misplaced view of the future, electronic voting systems were pushed and prodded into use across the country at precincts large and small. This was done in the interest of improving overall voting consistency and reliability. The ugly truth about this incursion of tech into the most fundamental aspect of our democracy is that almost none of these electronic voting systems have been developed based on even the most basic aspect of human factors science. They are, in ways large and small, far worse in terms of actual usability than the lever and crank systems of the past. That’s right – the new tech-based voting machines had no transfer of learning analysis, no cognitive task analysis, no interface modeling, no cognitive workload analysis, no human interaction use case analysis, no formative testing, no summative final user testing, no risk analysis, and no structured needs analysis. The human component of electronic voting was just not on the ballot.

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A Note To Our Clients: Medical Device Usability Testing In The Age of COVID-19


Dear Research Colleague: We sincerely hope you and your family are safe and secure. Even though we have temporarily closed our offices in NYC, we remain fully productive in a remote capacity through our cloud-based mirror capability covering all projects and related research. This note is focused on helping our clients and professional colleagues navigate this complex and challenging time of COVID-19.

Clients Are Not Canceling Studies, But Reconfiguring To Meet New Risk Factors: Based on our direct experience and feedback from corporate research colleagues and clients, at this time, development teams are not canceling lab-based user testing studies, but are working to reconfigure studies into 3 primary categories (below is a link to our article that describes how to segment into 3 categories) based on product development priorities. Notably, today our firm has more requests for proposals (RFPs) for testing programs than prior to the onset of COVID-19 in the United States. We have also recently executed a complex lab-based usability study within the time of COVID-19 in NYC. Times have changed, but critical user testing will continue under a new set of risk mitigation standard operating procedures (SOPs) and utilization of only the most experienced user research teams. The following is a shortlist of 4 key steps we recommend for starting the process of dealing with user testing in the age of COVID-19.

Step 1: Segment Your User Study Pipeline Into 3 Categories: Your team should immediately review all planned user studies and segment them into 1 of 3 categories. We recently published an article describing how to proceed with such segmentation. The article describes segmentation and user testing reconfiguration in the context of medical device user testing; however, the same approaches can be applied to user testing for products, websites, or systems of any kind. Please feel free to send us questions based on that publication.

Step 2: Begin Updating Your User Testing SOPs Immediately: We highly recommend that all product development teams immediately update their SOPs to accommodate user testing in the age of COVID-19. There is no future for user testing without improved planning and risk mitigation processes. It is also important to generate a robust vendor selection criteria checklist to confirm that your user testing partners have in place updated risk mitigation SOPs as well. For those teams undertaking this process remotely, our team has found SLACK to be especially helpful in combination with the Google Docs collaboration framework. We also utilize an online database created using FileMaker Pro. Please feel free to send us questions based on this recommendation.

Step 3: Move Formative Studies to Professional HFE Heuristics Analysis: Today, we are working with our clients to help them replace lab-based formative research with professional heuristics analysis, a service for which we are well known. Professional heuristics analysis involves highly experienced human factors engineering (HFE) experts auditing a physical product, website, system, etc., for usability issues based on a validated HFE audit structure. Early and aggressive use of professional HFE heuristics analysis can identify HFE problems prior to user testing, which can significantly reduce HFE formative testing costs. We are also helping our colleagues and clients reconfigure lab-based user testing studies already in the pipeline based on the application of our SOPs for risk mitigation. This work includes collaboration with our IRB sites and testing facility vendors, who are also undertaking major updates of their SOPs. There are many moving parts to proceeding with lab-based HFE research in the age of COVID-19. Please feel free to send us questions based on this recommendation.

Step 4: Rethink How HFE Science Is Integrated Into Development Programs: Our clients tell us that this is a time to analyze how studies are executed and to determine if other methods, such as HFE heuristics and/or robust online data capture, can supplant early formative studies. It is clear, based on the execution of hundreds of usability testing studies over the past 30 years, that MANY usability problems with products, websites, systems, etc. uncovered in formative studies could have been identified and eliminated through early and aggressive use of HFE heuristics analysis. In a surprising way, a benefit of this very difficult time may be an improvement in how HFE science is utilized to improve usability AND reduce development costs. Please feel free to send us questions based on this recommendation.

Be safe and secure. We are all hoping for the best, but planning for less.

Charles L. Mauro CHFP