The Deployment Stage of the AR Maturity Model: When AR Research and Ideas Gain Momentum

Augmented Reality is expected to hit $61.39 billion by 2023, growing at a 55.71% CAGR. The ever-advancing capabilities of AR technology drive this explosive growth and shape its deployment for various business cases.

Before you start deploying your AR use cases, it’s essential to set the IT infrastructure to ensure complete support after the Exploring Stage in the AR Maturity Model. You also need to establish your budget for hardware (smart glasses), wireless network coverage, software, etc.

The deploying stage is exciting because organizations gain momentum and focus on using AR solutions to meet business challenges. When total value emerges, it enables organizations to optimize use cases. The deployment stage defines facts that were previously assumptions in the Exploration phase.

AR use cases at this stage respond to business needs in one or more specific departments across the organization. Simple AR solutions incorporate visual work instructions, video, initial collection & analysis of data collected. Solutions may also include advanced documentation work relating to various deployments.

According to Capgemini’s recent study, these are the percentages of AR Deployment being done currently in various industries.

Agile Processes leading to AR Deployment

The transition steps between the Exploring Stage to the Deploying Stage are summarized below.

  1. The Roadmap for the deployment stage is backed by the research done in the exploring stage. The Roadmap specifies which areas the enterprise wants to explore, the budget and costs, and the feasibility study for each step.
  2. Interested departments can jointly plan use case implementations and identify funding sources for AR work.

The different types of AR implementations considered during deployment are:

    • Marker-based AR or Image Recognition-based AR provides more information about a scanned object after the user focuses on a pre-defined marker or sticker.
    • pre-defined room-scale AR application allows the user to walk into a room that has been pre-scanned and overlay a visual aesthetic showcasing various objects laid out in the scene.
    • Plane projection / Gyroscopic augmented reality allows the user to detect a flat surface and scans that surface to use a pivot point or origin for projecting the user’s 3D model or object.
    • Wearable-based augmented reality requires specific hardware to overlay objects in the user’s retina and offer more in-depth visuals with a field of view that will be present wherever the user looks.
  1. Establish a budget to explore the next stages of AR. The budget should include considerations for additional device hardware (such as smart glasses and expanded wireless network coverage). Costs associated with upkeep, maintenance, and support down the road also need to be factored in.

Estimating the AR App Development Cost is also vital in the Deployment Stage.

  1. Engage IT to provide the foundational IT infrastructure to support your AR use cases.
  2. Prioritize the use cases your team identified.

Activities of the Deployment Stage

Strategic Activities

  • AR software and hardware platform strategies are laid out.
  • One or more use cases being deployed to solve business problems.
  • Single or multi-departmental deployments.
  • Operating models and governance frameworks are established.
  • AR value drivers are being refined as a result of real experience.
  • Involvement of corporate IT
  • Security evaluations
  • Mobile device management strategy definition

Types of Strategies Involved

The AR deployment stage is influenced by these two types of AR exploring strategies. The budgeting, human resources involved, the level of involvement, technology stacks to be used, and more are decided.

  • Reactive –This strategy relies on how an internal business issue or circumstance influences the AR exploring stage.
  • Request-based –There is a specific request within the company from clients or internal departments to explore AR.

Technology Activities

  • An AR software platform strategy is implemented or in the process of being rolled out.
  • A use case-driven device strategy is established, including smartphones, tablets, and smart glasses.
  • Video calling – The collaboration mechanism and tools between tech & experts, for example, are rolled out along with clearly defined objectives.
  • Augmented task flows are laid out.
  • The content strategy for AR is defined.
  • Collect and act on AR analytics.
  • Start to consider IoT use cases.

Content Activities

  • Augmented Digital Task Flows are designed and executed.
  • Select enterprise content is integrated.
  • Existing 2D and 3D content assets are leveraged and new value created.

Budget Activities

  • Discrete budgets for AR software and hardware are executed and available in various departments of the organization.
  • Budgets are also set for security mechanisms, compliance, standardization, etc.

Areas Where AR Deployments (Early Stage) have been Successful

Gaming: One of the most recognizable AR deployment examples in mobile app gaming is Pokémon Go.

Marketing: Here, AR deployment comes in product placement, such as placing virtual Ikea furniture in your living room.

Retail: One successful deployment is the smart mirror that allows shoppers to virtually try on jewelry/clothes/accessories that they’re interested in without actually trying them on.

Factory: On assembly lines in factories, workers wearing AR glasses can have assembly instructions displayed to them step by step to increase accuracy and efficiency.

Warehouse: Workers in large warehouses use wearable AR technology to get directions to find products during the sorting and transport of goods, saving them time spent searching for the desired product/outcome and eliminating human error.

Aerospace &Defense: AR technology is being deployed in the aerospace and defense sectors, primarily in the form of Heads Up Displays (HUDs), which give pilots critical flight information right where and when they need it.

Education: AR technology is being deployed for education, especially in giving students more immersive and engaging lessons. It can also be more effectively used to train employees with more realistic work scenarios.

Tourism: AR deployed on Mobile apps can help tourists find directions and desirable destinations. AR could also translate street signs and be used in museums to make displays more engaging.

Conclusion

AR is an exciting technology with a broad spectrum of potential uses. Advances in embedded vision technology can be critically observed during deployment.

AR deployment creates the defining moment where the exploration stage’s success is realized to its partial or full potential. Enterprises can take a deep dive into the AR ocean and recognize their strengths and overcome any challenges effectively.

Radiant Digital can help you with your deployment initiatives to fully power up your AR prototypes and champion business use cases. Connect with us today.


Enhancing the Information Architecture of your UX Design with Card Sorting

A good UX design gains popularity because of its visual appeal and how easily users can find what they’re looking for. A website’s top usability problem is that content is structured based on what makes sense to the company and not the end-users.

Card sorting is one of the primary ways to sort out the navigation scheme or structure of an app, website, or prototype that best matches the users’ mental model or conditioning.

It represents how they navigate and expect content to be categorized and grouped.

This helps with quicker transactions and reduces the bounce rate on a website.

What is card sorting?

Card sorting is a UX research method that involves studying participants grouping individual labels written on notecards based on criteria that seem sensible to them.

It helps understand their attitudes, values, preferences, and behaviors related to the domain under study. This method helps uncover how the target audience’s domain knowledge is structured, and it serves to create an information architecture based on the users’ expectations.

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Information Architecture defines how all the content of a site is related and fits together as a coherent unit. It refers to the structure of information on a website and is depicted with site maps, spreadsheets, and diagrams. Card Sorting helps understand the user’s perception of the information space in the IA planning stage.

The grouping or naming of objects and concepts may be represented on physical or virtual cards on computer screens; or photos in either physical or digital formats.

Sorting is usually performed by the potential users of an interactive solution providing,

  • Terminology (what people call things)
  • Relationships (proximity, similarity)
  • Categories (groups and their names)

This information is used by designers to decide which items should be grouped in displays, how the menu elements should be organized and labeled, and, more fundamentally, the words to describe the objects that need user attention.

Card Sorting is useful to:

  • Design a new website or enhance an existing website or section update
  • Discover how your customers expect to see your information grouped on your website.
  • Get the user’s familiarized with the information architecture and the user-centric design.
  • Prevent the confused organization of content on a website or webpage.

Benefits of Card Sorting for UX Designers

  • It is reliable, cost-efficient, and easy to set up.
  • Help in designing an optimized navigation structure for a website/app.
  • Promote smoother interactions between users and the system by presenting a user-friendly interface.
  • Help define a clear content strategy for a website.
  • Help scientifically evaluate and fix website structural problems in the early stages of design evolution.

When to use it?

Card sorting is used in the following situations. It is typically useful in improving the labeling, grouping, and organization of information.

  • Information or content has to be grouped by type, subject, or category.
  • Group your content or products in a way that will make sense to your user base.
  • Untangle complexity in information depiction (sitemaps).
  • Sort or organize content in a particular order (FAQ section).
  • Decide on a structure for your website.
  • Find the right words for navigation.

Types of Card Sorting Models

Open Card Sorting

In this method, participants receive specially prepared cards, sort them into the categories provided, create their self-defined categories, and name them. They are free to name groups they’ve created with the cards in the deck using labels that best describe them.

The open card is commonly used for new/existing information architectures, organizing products on a new site or app, or creating a new IA from scratch.

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It helps explore how your target audience understands content headings, topics, and their tags. It is worth noting that users suggest each category based on how they think of these topics. Open sorting has the following advantages.

  • Promote participant-driven discoveries, limiting any preconceived barriers by the designer.
  • Lend the participants more flexibility.
  • The chance of identifying criticalities is higher.
Closed Card Sorting

Participants are provided with the content cards and the category cards and asked to place them in these given categories (which are pre-defined and cannot be modified). This method is usually used when adding new content to an existing site or reworking an open card sort's insights.

Closed card sort helps gain better clarity of how the participants’ target market perceives these pre-defined headings. This ensures obtaining the confidence of adding content appropriately on a website or app.

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Participants are not free to rename cards or make suggestions for new cards like open card sorting.

Closed card sorting helps with observational probing for the researcher as the pre-defined criteria for categorizing different items into groups have been set.

Remote Card Sorting

Here, an online software tool that provides the cards can work independently on sorting with their computers. This online software tool allows the user to set up and distribute it to as many participants as required.

Remote Card Sorting is unmoderated, which means there is no contact with the participant, so there is no way of understanding why the user has arranged the cards in a certain way.

These online software tools provide different ways to analyze the data. Many tools also enable recording the user’s screen and spoken feedback to facilitate the collation of qualitative data supporting quantitative metrics.

Reverse Card Sorting

Reverse card sorting (also called reverse lookup or tree testing) is a variation of closed card sorting where cards representing content, tasks, or navigation items are placed onto a predetermined hierarchy (or another type of structure). An assessment of how often users put the cards into the “right” categories on the hierarchy is done.

A participant is presented with a hierarchical diagram and a pile of cards representing information on categories and subcategories. The participant must place the cards at the correct level of the hierarchy. The cards are sorted into the right hierarchical location. This method helps validate changes to website navigation, hierarchical menus, or other task flows. It also helps compare the new navigation structure of a website to the old one.

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Modified Delphi Method

This method relies upon the agreement of a group of participants in sequence to complete the card sorting exercise. The first participant provides their categorization based on the traditional open card sort methodology. Then the next participant can make any modifications to the first participant’s result or agree with it. The process is repeated in the loop with multiple participants until they reach a consensus on the result, and no further significant modifications are required.

The downside to this methodology is that any participant making significant changes to previous participants' work can lead to an outlier, compromising the whole study’s results.

In-person Card Sorting

This method includes studies where an observer or researcher is physically present when the participants sort the cards. The researcher can ask further questions based on the participant’s choices and clarify any observations.

Participants are provided with a set of cards to move around and asked to talk through their thoughts and reasoning behind their decisions.

What are the generic steps in card sorting?

1. Choose the Medium and Topics

The first thing you need to determine in card sorting is how to perform it based on the type of card sorting chosen. Like on software or paper.

Each card should represent important content for the site; experts recommend 30–60 cards with no more than 70 topics.

Tip: Avoid the same words while naming topics because participants will tend to group those cards.

2. User organizes topics into groups

Shuffle the cards and give them to the participant. The participant must look at one card at a time from the pile (large or small). If the participant isn’t sure about a card, or its meaning, it can be left off. A set of “unknown” or “unsure” cards can exist rather than random cards.

Note:

  • The number of piles is not pre-set or predictable. The size depends on their mental models.
  • Users can change their minds as they work: they can move a card from one pile to another, split a pile into several new piles, merge two collections, etc. Card sorting is a bottom-up approach, and false starts are common.
3. User names the groups

After the participant has grouped all the cards, blank cards are handed over where he/she writes down a name for each group created. This step reveals the user’s mental model of the topic space. A few ideas for navigation categories may be sought, but it can’t be expected from participants to create useful labels.

Tip: Naming is essential after all the groups have been created so that the user doesn’t get locked into categories. The participant should be given the freedom to rearrange groups at any moment.

4. Debrief the user (optional but highly recommended)

Participants can be approached to explain the rationale behind the groups they’ve created. Helpful questions would include:

  • Which items were especially easy or difficult to place?
  • Did any items seem to belong in more than one group?
  • What thoughts do you have about any items left unsorted?

You can also ask the user to express their thoughts while performing the original sorting. Doing so provides insights, even though the analysis is time-consuming.

This information could push you into crosslinking from one category to the other or maybe also assigning the item to a definitive category if other reasons are leaning in that direction.

5. Get more Practical Group Sizes from the user 

The participant should not influence personal wishes or biases during the original sorting (steps 1–3). Once you define the user’s preferred grouping, and after the initial debrief, you can ask the participant to break large groups into smaller subgroups or vice versa.

6. Repeat with 15–20 users

The more the number of users, the easier it becomes to detect patterns in users’ mental models. We recommend a minimum of 15 participants for card sorting.

More number of users means getting diminishing returns for each additional user. The opposite means you won’t have enough data to reveal overlapping patterns in organization schemes.

7. Analyze the Data

After you have all the data, look for collective groups, category names or themes, and items frequently paired together. Other steps include:

  • Note the most grouped topics and unused cards
  • Understand the type of tags that are suggested by most of the participants
  • Figure out the logic participants use while they group the cards.
  • Review the participant comments, particularly regarding any other items of interest they may have brought up.
  • Combine patterns based on qualitative insights from a debriefing.

This will leave you better positioned to understand what the organization system will be most successful for your users.

Wrapping it up

Card sorting is highly recommended for a deeper understanding of the information architecture in UX design. It decodes the users’ understanding of your content.

Card sorting can be added with other information-architecture methods to identify issues in your category structure. Because at the end of the day, a well-structured Information Architecture promotes site/design/prototype popularity among end-users.

Are you interested in incorporating this technique for engaging UX design? Connect with our experts today.