Location-Based and Audience-Aware Storytelling

TL;DR

This paper explores how real-time, audience-aware algorithms are transforming storytelling by enabling highly responsive, personalized narratives that resemble live, improvisational performances, expanding beyond traditional advertising uses.

Contribution

It introduces a novel perspective on storytelling that leverages location-based and audience-aware algorithms to create dynamic, interactive narratives.

Findings

Algorithms enable highly personalized storytelling experiences.

Real-time responsiveness enhances audience engagement.

Potential for new narrative forms beyond advertising.

Abstract

While the daily user of digital, Internet-enabled devices has some explicit control over what they read and see, the providers fulfilling searches, offering options, and presenting material are using increasingly sophisticated real-time algorithms that tune and target content for the particular user. They redefine the historical relationships between tellers and users, providing a responsiveness paralleled only by forms of live performance incorporating elements of improvisation and audience interaction. The general accessibility of algorithmically driven content delivery techniques suggests significant untapped potential for new approaches to narrative beyond advertising and commercially orientated customization.