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Project 01 · Research Collection

Trust Signals

How college students choose restaurants while traveling—and which details make an unfamiliar option feel credible.

Padlet · Platform examples · Archive material

Role in the portfolio

The evidence base for everything that follows.

The Padlet organizes examples of restaurant trust signals before they become a single claim or a polished design. It holds platform pages, restaurant examples, personal observations, and archival material in one visible research space.

Grouping the evidence made a pattern clear: no single signal is enough. The strongest decisions come from comparing different kinds of information—and noticing what each format encourages a traveler to see.

Research board preview
6 signal groups
01 Signal

Familiarity & chains

Finding

Predictability can save time and reduce risk—but it can also hide what is local.

02 Signal

Food photos

Finding

Customer uploads, multiple angles, and recent images reveal more than one polished hero shot.

03 Signal

Ratings & reviews

Finding

The number, recency, comments, and repeated complaints matter alongside the score.

04 Signal

Prestige & guides

Finding

Awards and guide recognition create authority—and raise expectations before the meal.

05 Signal

Local tips

Finding

A better question to a local can reveal what to order, when to go, and what is overhyped.

06 Signal

Platforms & archives

Finding

Yelp, Tabelog, CATCHTABLE, Dianping, and a 2005 guide show how format shapes judgment.

Open the live board to view the complete source collection.

Open the original Padlet
01

Purpose

Collect and compare the signals students use before choosing an unfamiliar restaurant.

02

Audience

Student travelers interested in making a fast choice without relying on one score or image.

03

Structure

Evidence is grouped by familiarity, photos, ratings, prestige, local knowledge, and platforms.

04

Tools

Padlet, current restaurant and platform pages, personal observations, and 2005 Dianping material.

Reflection

The research shifted the project from “Which source is best?” to “What can I learn by comparing them?”

See the visual argument