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Massachusetts Institute of Technology

Exploring methods to enable responsible alcohol consumption in social environments

Abstract

dc:description.abstract

With the recent rise in alcohol related incidents and deaths in the United States we have seen new technologies and tools to try to reduce the number of these occurrences. Apps such as Uber are only a click away from being able to pick up an intoxicated person at a party and there is research being done at Washington University on an application to communicate with your friends that you are too drunk while at a party based on Transdermal Alcohol Content (TAC). This thesis presents an idea and initial feasibility experiments for an affordable one-night-use wristband that would be able to change colors based on your TAC and encourage wearers to be aware of how much alcohol they have actually consumed throughout the night, with the goal of reducing the number of incidents and deaths.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Mechanical Engineering.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Williams, Benjamin Craig
Advisor dc:contributor.advisor
  • Maria Yang.

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/1721.1/105656
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/105656

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

Williams, Benjamin Craig. Exploring methods to enable responsible alcohol consumption in social environments. Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105656