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Massachusetts Institute of Technology

Viewer interface for first person shooter streaming

Abstract

dc:description.abstract

Although eSports has stepped into the realm of mainstream entertainment, the first person shooters still lag behind other types of games in terms of viewer consumption. This is partly due to the genre's fast paced nature, which makes it difficult for new users to pick up or for experienced users to explain effectively during a stream; thereby limiting its accessibility to the general public. This paper presents an implementation of an interface, based on Epic's Unreal Tournament's spectator mode, which helps mitigate these problems by providing stream casters a way to guide their audience better through a more informative HUD display and predictive notifications for where potential action would take place. This work serves as a proof of concept for how to make first person shooters a more viable genre in the general eSports arena.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Yeung, Eva M
Advisor dc:contributor.advisor
  • Richard Eberhardt.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/106450
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/106450

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Yeung, Eva M. Viewer interface for first person shooter streaming. Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106450