I Feel London/Toronto/NYC
Marissa Brassfield — December 7, 2008 — Pop Culture
References: ifeellondon & springwise
It’s easy to navigate a city when you know where you’re going or what you want to do, but what about when you haven’t a clue? I Feel London, I Feel Toronto and I Feel NYC are three iterations of the same website that promote mood-based navigation for locals and tourists alike.
Users select their mood--naughty, hung over, energetic, romantic, sophisticated, chilled, girly, manly, or broke--and a Google map comes up with suggestions of activities and attractions that are appropriate for that mood.
For example, in the third image, I’ve selected ‘Broke’ as my mood. Some of the results that popped up on my map include a secondhand bookstore with friendly staff, a noodle bar, the Tate Modern’s free galleries, a Thai restaurant, a pizza joint, and a nightclub. Sounds like a full day to me!
Users with Google accounts can edit the maps, adding their own suggestions to the ones already displayed. The site is currently still in beta, but the existing functionality is impressive.
Users select their mood--naughty, hung over, energetic, romantic, sophisticated, chilled, girly, manly, or broke--and a Google map comes up with suggestions of activities and attractions that are appropriate for that mood.
For example, in the third image, I’ve selected ‘Broke’ as my mood. Some of the results that popped up on my map include a secondhand bookstore with friendly staff, a noodle bar, the Tate Modern’s free galleries, a Thai restaurant, a pizza joint, and a nightclub. Sounds like a full day to me!
Users with Google accounts can edit the maps, adding their own suggestions to the ones already displayed. The site is currently still in beta, but the existing functionality is impressive.
Trend Themes
1. Mood-based Navigation - Opportunities for companies to offer personalized experiences for customers based on their moods.
2. User-generated Content - Potential for startups to create platforms that allow users to share their mood-based experiences with others.
3. Data-driven Tourism - Opportunities for travel and tourism companies to gather and analyze data on users' moods and preferences to offer customized tourism experiences.
Industry Implications
1. Travel and Tourism - Travel and tourism companies can use mood-based navigation to offer customized tourism experiences.
2. Technology - Startups can create platforms to allow users to share their mood-based experiences, generating user-generated content.
3. Hospitality - Potential for hotels and restaurants to offer personalized services based on their customers' moods and preferences.
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