Kiosk Interface Design Guidelines for Hospitality Outlets


Purdue Experience Studio Project with Chanseo, Kathleen, Nina, Raelee & Ryan

Kiosk Interface Design Guidelines for Hospitality Outlets


Purdue Experience Studio Project with Chanseo, Kathleen, Nina, Raelee & Ryan

Kiosk Interface Design Guidelines for Hospitality Outlets


Purdue Experience Studio Project with Chanseo, Kathleen, Nina, Raelee & Ryan

Role

UX Research &

Design

UX Research

& Design

UX Research & Design, Guideline Synthesis

Timeline

August 2025

4 months

August 2025

4 months

August 2025

4 months

Methods

Contextual Inquiry, Field Observations, Rapid Prototyping, Usability Testing

Contextual Inquiry, Field Observations, Rapid Prototyping, Usability Testing

Contextual Inquiry, Field Observations, Rapid Prototyping, Usability Testing

Problem

Kiosk interfaces lack standardized design guidelines. Unlike personal devices, they exist in public-facing, distracting environments.

Intervention

Our team developed guidelines, validating decisions by testing our interactive prototypes on a full-scale kiosk monitor.


Jump to guidelines or, keep scrolling!

We developed evidence-based guidelines, validating our decisions by testing our interactive prototypes on a full-scale kiosk monitor.


Jump to guidelines or, keep scrolling!

We developed evidence-based guidelines, validating our decisions by testing our interactive prototypes on a full-scale kiosk monitor.


Jump to guidelines or, keep scrolling!

Context

Frogslayer, a software firm specializing in the hospitality and entertainment space, tasked us with creating kiosk interface design guidelines for high-traffic environments.

Frogslayer, a software firm specializing in the hospitality and entertainment space, tasked us with creating kiosk interface design guidelines for high-traffic environments.

Since one of their biggest clients is a nationwide arcade franchise, our research primarily focused on this setting.

Desk Research

Our competitive analysis and market research revealed that the self-service kiosk industry is booming: 

53 Bn USD

projected market size by 2030
source

30% Increase

in order value due to integration of deals/upsells
source

66% Consumers

prefer self-service kiosks over staff
source

Despite the preference for self-service, users have recurring concerns with kiosks: 

Frequent freezing, crashing, or error states during transactions
source

Loyalty pop-ups that feel intrusive rather than helpful
source

Concerns inputting personal data on public-facing screens
source

Key Takeaways From Desk Research:

  • People gravitate toward kiosks for speed, but valid concerns often get in the way of this efficiency.

  • Some (loosely-established) standards are followed but there is still a lack of a concrete framework for handling the privacy and scale issues inherent to kiosks.

Desk Research

Our competitive analysis and market research revealed that the industry is booming: 

53 Bn USD

projected market size by 2030
source

30% Increase

in order value due to integration of deals/upsells
source

66% Consumers

prefer self-service kiosks over staff
source

Desk Research

A competitive analysis and some market research revealed that the kiosk industry is booming: 

53 Bn USD

projected market size by 2030
source

30% Increase

in order value due to integration of deals/upsells
source

66% Consumers

prefer self-service kiosks over staff
source

Despite the preference for self-service, users have reported recurring concerns with kiosks: 

Frequent freezing, crashing, or error states during transactions
source

Loyalty pop-ups that feel intrusive rather than helpful
source

Concerns inputting personal data on public-facing screens
source

Key Takeaways From Desk Research:


  • People gravitate toward kiosks for speed, but valid concerns often get in the way of this efficiency.

  • Some (loosely-established) standards are followed but there is still a lack of a concrete framework for handling the privacy and scale issues inherent to kiosks.

Despite the preference for self-service, users have recurring concerns with kiosks: 

Frequent freezing, crashing, or error states during transactions
source

Loyalty pop-ups that feel intrusive rather than helpful
source

Concerns inputting personal data on public-facing screens
source

Key Takeaways From Desk Research:

  • People gravitate toward kiosks for speed, but valid concerns often get in the way of this efficiency.

  • Some (loosely-established) standards are followed but there is still a lack of a concrete framework for handling the privacy and scale issues inherent to kiosks.

Field Research

To observe exactly how customers navigate kiosks, we visited a local arcade and asked participants to walk us through purchasing and reloading a game card.

What we observed:

What we observed:

What we observed:

Participants consistently struggled with on-screen text instructions about swiping cards. Users stared at the screen, while the card reader below flashed unnoticed.

Aggressive countdowns (presumably to help lines move faster) and abrupt feedback loops didn't help; they only increased anxiety, especially during transactions.

Participants weren't keen on the upsells or memberships and were confused about how to navigate this specific pop-up/page.

We then mapped our field data to pinpoint exactly where confidence dropped during the transaction

We then mapped our field data to pinpoint exactly where confidence dropped during the transaction

Ideating + Building Initial Prototype

Ideating + Building Initial Prototype

For effective guidelines, we had more data collection and testing to do. We planned to build an interactive prototype (to serve as a tool to inform the guidelines). Here's how it started:

We sketched ideas, debating features like a progress bar and different kinds of loyalty integrations.

For effective guidelines, we had more data collection and testing to do! We decided to build an interactive prototype to serve as a tool to inform the guidelines. Here's how we started:


We sketched ideas, debating features like a progress bar and different kinds of loyalty integrations.

Ideating + Building Initial Prototype

For effective guidelines, we had more data collection and testing to do! We decided to build an interactive prototype to serve as a tool to inform the guidelines. Here's how we started:

We sketched ideas, debating features like a progress bar and different kinds of loyalty integrations.

Based on our ideation and prior research, we moved on to creating wireframes and quickly turned them to screens for the first prototype.

Testing Set-Up

We loaded our prototype onto a 32-inch kiosk monitor provided by Frogslayer and set up shop in the Purdue Memorial Union (PMU - Our Student Center).

Surrounded by eateries and the rush of students between classes, it served as a high-traffic environment to stress-test our prototype.

Process & Iterations

Participants were tasked with purchasing a new game card using a think-aloud protocol.

Across three sessions—on different days—we iterated on the spot (& after). This way, we tested multiple versions of the prototype, aiming to make sure our guidelines were rigorously backed:

Note

Initial research findings showed us that loyalty pop-ups are a big part of the self-service kiosk experience.

Consumers have strong opinions about them: when they work, they drive revenue; when they don't, they ruin the experience.

This meant we had to pivot our strategy a bit and explore A/B testing different types of deals/loyalty integrations ↓

Note


Initial research findings showed us that loyalty pop-ups are a big part of the self-service kiosk experience.


Consumers have strong opinions about them: when they work, they drive revenue; when they don't, they ruin the experience.


This meant we had to pivot our strategy a bit and explore A/B testing different types of deals/loyalty integrations ↓

Note


Initial research findings showed us that loyalty pop-ups are a big part of the self-service kiosk experience.


Consumers have strong opinions about them: when they work, they drive revenue; when they don't, they ruin the experience.


This meant we had to pivot our strategy a bit and explore A/B testing different types of deals/loyalty integrations ↓

Testing spanned about two weeks, and parallely, we were all on the lookout for how loyalty programs were proposed and framed across different outlets to inform our own prototypes. 

Upsells

Points/Perks

From day 2 of testing, we integrated two approaches with different participant groups to see what stuck:

Upsells

Tiers/Perks

The Verdict

Participants preferred immediate deals over long-term points/tier systems.

Guideline Synthesis

We gathered data from all stages of research and testing, then analyzed and categorized our findings into three broad themes:

This categorization gave us a framework to present the guidelines. For the format, we took inspiration from NN/g Usability Heuristics.

Click through to view all guidelines

Limitations

While we did our best to simulate the arcade environment at the PMU, we recognize it wasn't a perfect match. Our testing pool was restricted to students (ages 18–25). Testing with a wider demographic—particularly families and children who frequent arcades—would have given us deeper insights into attitudes toward loyalty programs, environmental constraints, etc. We tried to bridge these gaps by cross-referencing our work with scholarly whitepapers and industry reports.

Reflections

I’m grateful I got to be a part of this project and do tons of hands-on research (with a whole kiosk monitor! I'm still not over how cool it was to load our prototypes on it). I fell down rabbit holes and learned a ton about Service Design and CX. I realized how many variables go into defining success, and I aspire to design for ecosystems like these.

Most importantly, I had a wonderful team. I learned a lot from them and was able to provide mentorship during testing sessions and data analysis where I could.

A huge thank you to our professors, TAs, and project owners for being a great support system and helping us bring this project together.

Loopyloop - Fiber arts marketplace with integrated tools and guides

From day 2 of testing, we integrated two approaches with different participant groups to see what stuck:

Upsells

Tiers/Perks

The Verdict

Participants preferred immediate deals over long-term points/tier systems.

Get in touch

Open to new opportunities and/or a chat :) Feel free to reach out!

©️Tanya Singh | Current as of November 2025 | 📍West Lafayette, IN, USA

Get in touch

Open to new opportunities and/or a chat :) Feel free to reach out!

©️Tanya Singh | Current as of November 2025 | 📍West Lafayette, IN, USA

Get in touch

Open to new opportunities.

Feel free to reach out! ✉️ 📩

©️Tanya Singh

Current as of November 2025 | 📍West Lafayette, IN, USA

The Verdict

Participants preferred immediate deals long-term point/tier systems.

Loopyloop - Fiber arts marketplace with integrated tools and guides