Andrea Bascetta

Recent Posts

Addressing Mental Health in the Workplace

June, 22 2020 | Healthcare, Events & News

     Today more than ever, mental health is taking the front position in the conversation about well-being within companies. In a recent poll conducted by KFF, nearly half (45%) of adults in the United States reported that their mental health has been negatively affected by COVID-19. Some of the main causes of stress mentioned were the health and the economic impact of the virus. However, some alarming data regarding mental health in the workplace emerged also before COVID-19, indicating that this is not a new issue. 

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'Less is More' - Minimalism in UX Design

January, 22 2020 | Design, User Interface

      Within the last 5 years’ trend for UX Design, (user experience design) we have seen the focus placed not only on creating innovative features for the end-user but also to on the emergence of the ideology “Less is More”. The phrase “less is more” in reference to UX design means that the purpose of the UX Designer is not anymore to deliver a feature-heavy product, rather make the product leaner and amplify its functionality. Minimalism in UX Design  means that sometimes, going the extra mile with design might not actually make a product better. 

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The UX of Autonomous Vehicles

       The autonomous vehicle is more than just a blurred dream that is still off in the distant future; it’s already happening. Recently, the first self-driving taxi service has been launched in Singapore. It is predicted that it’s only a matter of a couple of years before fully automated driving vehicles will be available for purchase on the consumer’s market (Tesla is already taking incremental steps to make semi-autonomous driving vehicles available to the public). However, only a few companies like Google and Volvo have been testing fully automated driving cars on public roads. 

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Machine Learning for Recommendations on Streaming Services

       Oftentimes, when trying to decide what shows or movies to watch on our favorite streaming services, we look at what is being recommended to us. Most TV shows and movies we watch on streaming services (like Netflix, Hulu and Amazon Prime) are discovered through an algorithm that informs the recommendation system. The following article focuses specifically on the recommendation systems in Hulu mobile App and Netflix TV, and the way in which machine learning can be applied to improve this algorithm.

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Data Augmentation for Risk Assessment in the Auto Industry

May, 17 2019 | Automotive
       Over the past 3 years, auto insurance companies introduced a new way to charge drivers by tracking their driving data rather than using traditional statistics as driving history, instruction, location and age. Instead of having the users filling out the online form and providing a quote, the insurance company collects data on the drivers and come up with a quote based on that actual recent driving history.
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Voice Recognition as Biometric Authentication

     Biometric authentication, unlike traditional passwords or security questions, uses the unique biological characteristics of the individual in order to verify an individual’s identity. Voice recognition (also called speaker recognition or voice authentication) analyzes a person’s voice to verify their identity. Soft-tissue cavities, the shape, and movement of the mouth and jaw, as well as airways, have the potential to influence individual voice patterns to create voiceprint that is unique and identifiable to everyone.

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The Do's and Don'ts of Enterprise Chatbot Building

      Chatbots are an AI-controlled program that is designed to simulate human conversations by engaging in a typical chat flow. Users are able to interact with a Chatbot and receive immediate feedback through voice or text interactions with the program. Chatbots are used by many companies to quickly interact with their customers and help provide the user with information in a quick and effective manner.

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Do's and Don'ts of Diary Studies

       A diary study is a research method that consists of collecting data about user activities, behaviors, and feelings over a certain time period, ranging from a few days to a month or more. During a diary study, participants will self-report their experiences and activities on a diary (or digital diary such as Dscout, Experience Fellow, Revelation or just Google Form). Participants will self report their interactions, thoughts and feelings in regards to a product or organization. Diary studies are useful to understand long-term behaviors and potentially create Customer Journey Maps through being able to document the customer's interactions with the product or an organization. 

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2018 Top Survey Tools: Researcher Opinion

May, 23 2018 | Research Methods

One of the most effective ways to connect with your customer base is using online survey tools. Market research statistics can provide meaningful insight into details about a market, strategies, and customers.

An online survey can help customer relationship representatives gauge customer satisfaction, solicit information from existing or prospective customers, or help human resources professionals learn what matters to employees.

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What to be Mindful of When Fielding Your First Biometric Study

In collaboration with Manuel Ramirez and Shao-Yu

When approaching the fielding day(s), envision how a session with a participant should ideally be and plan your next moves accordingly.

In this paragraph, we listed best practices and tips that will help you fielding your biometrics study with confidence and maximize the quality of data you will collect.

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Smart Technology in Our Daily Lives

August, 25 2017 | Conversational UI, AI, Emerging Trends

The Internet of Things allows our environment to adapt to us so we can better engage, learn, and live within it. Now and tomorrow, we continue to prioritize connections; connecting with your home, with your body, with your city in new ways. LIttle by little making smart technology in our daily lives prevalent.


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Why You Should Use Eye Tracking For Website Optimization

Eye tracking data delivers valuable insights on how your website visitors interact with the page– how long does it take them to discover a specific feature or product on your site, which kind of information they ignore or miss, what your visitors look at and how much time they spend looking at it.

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