Changing Consumer Behavior through Ambient Displays in Smart Cafeterias and Detecting Anomalous Reporting Behavior in Wireless Sensors

Food availability and food waste are signi cant global problems which can be mitigated through the use of sensor networks. Current methods of monitoring food waste require manual data collection and are implemented infrequently, providing imprecise information. The use of sensors to automate food...

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Other Authors: Hughes, Shiree (author)
Format: Others
Language:English
Published: Florida Atlantic University
Subjects:
Online Access:http://purl.flvc.org/fau/fd/FA00004896
http://purl.flvc.org/fau/fd/FA00004896
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spelling ndltd-fau.edu-oai-fau.digital.flvc.org-fau_380252019-07-04T03:53:00Z Changing Consumer Behavior through Ambient Displays in Smart Cafeterias and Detecting Anomalous Reporting Behavior in Wireless Sensors FA00004896 Hughes, Shiree (author) Hallstrom, Jason O. (Thesis advisor) Florida Atlantic University (Degree grantor) College of Engineering and Computer Science Department of Computer and Electrical Engineering and Computer Science 126 p. application/pdf Electronic Thesis or Dissertation Text English Food availability and food waste are signi cant global problems which can be mitigated through the use of sensor networks. Current methods of monitoring food waste require manual data collection and are implemented infrequently, providing imprecise information. The use of sensors to automate food waste measurement allows constant monitoring, provides a better dataset for analysis, and enables real- time feedback, which can be used to affect behavioral change in consumers. The data from such networks can be used to drive ambient displays designed to educate a target audience, and ultimately reduce the amount of waste generated. We present WASTE REDUCE, a system for automating the measurement of food waste and affecting behavioral change. The challenges and results of deploying such a system are presented. To assess the bene ts of using WASTE REDUCE, two case studies are conducted. The rst study evaluates three different displays, and the second reevaluates one of these displays in a separate location. These studies con rm that the combination of automated monitoring and ambient feedback can reduce food waste for targeted groups. Florida Atlantic University Consumer behavior. Intelligent sensors. Wireless sensor networks. Wireless communication systems. Environmental economics. Food consumption--Measurement. Food industry and trade--Safety measures. Food supply--Globalization. Includes bibliography. Dissertation (Ph.D.)--Florida Atlantic University, 2017. FAU Electronic Theses and Dissertations Collection Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder. http://purl.flvc.org/fau/fd/FA00004896 http://purl.flvc.org/fau/fd/FA00004896 http://rightsstatements.org/vocab/InC/1.0/ https://fau.digital.flvc.org/islandora/object/fau%3A38025/datastream/TN/view/Changing%20Consumer%20Behavior%20through%20Ambient%20Displays%20in%20Smart%20Cafeterias%20and%20Detecting%20Anomalous%20Reporting%20Behavior%20in%20Wireless%20Sensors.jpg
collection NDLTD
language English
format Others
sources NDLTD
topic Consumer behavior.
Intelligent sensors.
Wireless sensor networks.
Wireless communication systems.
Environmental economics.
Food consumption--Measurement.
Food industry and trade--Safety measures.
Food supply--Globalization.
spellingShingle Consumer behavior.
Intelligent sensors.
Wireless sensor networks.
Wireless communication systems.
Environmental economics.
Food consumption--Measurement.
Food industry and trade--Safety measures.
Food supply--Globalization.
Changing Consumer Behavior through Ambient Displays in Smart Cafeterias and Detecting Anomalous Reporting Behavior in Wireless Sensors
description Food availability and food waste are signi cant global problems which can be mitigated through the use of sensor networks. Current methods of monitoring food waste require manual data collection and are implemented infrequently, providing imprecise information. The use of sensors to automate food waste measurement allows constant monitoring, provides a better dataset for analysis, and enables real- time feedback, which can be used to affect behavioral change in consumers. The data from such networks can be used to drive ambient displays designed to educate a target audience, and ultimately reduce the amount of waste generated. We present WASTE REDUCE, a system for automating the measurement of food waste and affecting behavioral change. The challenges and results of deploying such a system are presented. To assess the bene ts of using WASTE REDUCE, two case studies are conducted. The rst study evaluates three different displays, and the second reevaluates one of these displays in a separate location. These studies con rm that the combination of automated monitoring and ambient feedback can reduce food waste for targeted groups. === Includes bibliography. === Dissertation (Ph.D.)--Florida Atlantic University, 2017. === FAU Electronic Theses and Dissertations Collection
author2 Hughes, Shiree (author)
author_facet Hughes, Shiree (author)
title Changing Consumer Behavior through Ambient Displays in Smart Cafeterias and Detecting Anomalous Reporting Behavior in Wireless Sensors
title_short Changing Consumer Behavior through Ambient Displays in Smart Cafeterias and Detecting Anomalous Reporting Behavior in Wireless Sensors
title_full Changing Consumer Behavior through Ambient Displays in Smart Cafeterias and Detecting Anomalous Reporting Behavior in Wireless Sensors
title_fullStr Changing Consumer Behavior through Ambient Displays in Smart Cafeterias and Detecting Anomalous Reporting Behavior in Wireless Sensors
title_full_unstemmed Changing Consumer Behavior through Ambient Displays in Smart Cafeterias and Detecting Anomalous Reporting Behavior in Wireless Sensors
title_sort changing consumer behavior through ambient displays in smart cafeterias and detecting anomalous reporting behavior in wireless sensors
publisher Florida Atlantic University
url http://purl.flvc.org/fau/fd/FA00004896
http://purl.flvc.org/fau/fd/FA00004896
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