Title:
Reducing Cognitive Load in HRI: A Proposed Research Strategy for the RAIL Lab

dc.contributor.advisor Chernova, Sonia
dc.contributor.author Storer, Sarah A.
dc.contributor.committeeMember Walker, Bruce
dc.contributor.department Computer Science
dc.date.accessioned 2019-05-30T16:23:50Z
dc.date.available 2019-05-30T16:23:50Z
dc.date.created 2019-05
dc.date.issued 2019-05
dc.date.submitted May 2019
dc.date.updated 2019-05-30T16:23:50Z
dc.description.abstract How can social robotics help reduce cognitive load when humans and robots work together? This document proposes research guidelines for exploring the confluence of human-computer interaction and cognitive load theory. Field appropriate methods and platforms are included as well as a suggested outline for the first two experiments.
dc.description.degree Undergraduate
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/61381
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Human-computer interaction
dc.subject Cognitive load theory
dc.subject Robotics
dc.subject Psychology
dc.title Reducing Cognitive Load in HRI: A Proposed Research Strategy for the RAIL Lab
dc.type Text
dc.type.genre Undergraduate Thesis
dspace.entity.type Publication
local.contributor.advisor Chernova, Sonia
local.contributor.corporatename College of Computing
local.contributor.corporatename School of Computer Science
local.contributor.corporatename Undergraduate Research Opportunities Program
local.relation.ispartofseries Undergraduate Research Option Theses
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relation.isSeriesOfPublication e1a827bd-cf25-4b83-ba24-70848b7036ac
thesis.degree.level Undergraduate
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