AR VR advantages vocabulary

Present complex data

• • To convey complex information in a way that is easy to understand and analyze.

• • To simply list out all the data points without any organization or explanation.

• • To hide the complexity of the data by using overly simplified methods.

Comprehensive representation

• A complete and clear depiction of all relevant data points.

• A partial or incomplete presentation of the data.

• An overly complex representation that distracts from the main points.

Intricate data sets

• • Large collections of data that contain many interconnected elements and require careful analysis to understand.

• Simple and easy-to-understand data sets with few variables.

• Data sets that are poorly organized or formatted.

Enhance spatial awareness

• • To improve one's ability to understand and navigate three-dimensional spaces.

• To simply present data in a visual format.

• To focus only on textual representations of the data.

Immersive experience

• A user experience that makes them feel like they are in the data.

• A basic and uncomplicated presentation of the data.

• • An experience that is confusing or stressful for the user.

Uncover hidden patterns

• • To identify relationships and trends within the data that are not immediately obvious.

• To simply confirm existing opinions about the data.

• To ignore patterns that contradict the intended story.

Retention of complex information

• • The ability to remember and understand intricate details over time.

• A reliance on memory to recall data points.

• Difficulty in understanding the data in the first place.

Reveal trends and patterns

• To identify repeating themes or changes within the data

• To present the data in a way that hides any underlying trends.

• • To focus only on individual data points without looking at the bigger picture.

Gain a deeper understanding

• • To move from a basic level of knowledge and achieve a more in-depth understanding of the data.

• • To simply accept the data at face value without critical analysis.

• To be limited by a pre-existing bias that prevents new insights.

Visually appealing

• • Pleasing to the eye and aesthetically attractive.

•  Prioritizing aesthetics over clarity and functionality in data presentation.

• • Using boring or monotonous visuals that aren't able to engage the audience.