Streamlining Airport Customer Support

Introducing Gulliver, a Conversational Bot

Airport Information Gathering as a Conversation

Gulliver, or Gull for short, was designed as a low-personification chatbot to support travelers throughout their time at the airport with information on available services and concessions, navigation guidance, and helpful reminders.

Jump to Prototype

Role

Conversation Design, Personality Design, Chatbot Prototyping, User Testing

Team

Bryony H. and Cassandra C.

Duration

4 Weeks

Tools

Voiceflow, Figma

How might a chatbot help take the stress and confusion out of the airport experience?

Many people experience stress and frustration while transiting through airports and waiting for their flight. A friendly chatbot ready to answer questions could make all the difference.

We designed our chatbot to be helpful, reliable, and reassuring.

Keeping the context of use in mind, it is important that Gull show care and competence in addressing users’ concerns.

Interaction Goals

01

Simplify airport navigation and wayfinding

02

Share updated and relevant information

03

Enhance the airport experience

Personality Design

Gull aims to strike a casual yet competent tone through reassuring language and reliable and helpful information. Recognizing the user's potentially negative emotional state in light of travel snafus, Gull will be warm in tone but remain calm in temperament to support the user while acknowledging the reality of their experience.

We compiled our training data to define sample intents, utterances, and slots.

Drawing from our own experiences and common travel issues, we built a robust set of training data including 13 intents and 5-20 utterances for each. Within these utterances, we accounted for possible slots

These intents and utterances were later integrated into our Voiceflow prototype.

We wrote three sample scripts that incorporated our personality design and utterances.

Based on three common scenarios a user might experience, we wrote a sample script for each. They centered around key topics important to travelers while at the airport: dining options, gate location, and boarding.

Based on these sample scripts, we diagrammed three conversational flows in Figma.

To visualize the conversational flow, we created a flow diagram for our three sample scripts. Each flow has a unique starting point — an input from the user — but a consistent closing output from Gulliver. The flow diagram also enabled us to determine where error handling may come into play.

What would it be like to actually chat with Gull?

We created a prototype to validate our training data and experience the conversational flows.

We used Voiceflow to bring Gulliver to life as a prototyped chatbot.

We created Gull as a custom, code-free AI agent in Voiceflow, ready to automate information sharing related to common airport support questions.

Gull is still in early stages of development. Check the scripts and intents to test in the prototype.

Test Prototype