On the Limits of the Human Motor Control Precision: The Search for a Device’s Human Resolution
Identifieur interne : 002771 ( Istex/Corpus ); précédent : 002770; suivant : 002772On the Limits of the Human Motor Control Precision: The Search for a Device’s Human Resolution
Auteurs : François Bérard ; Guangyu Wang ; R. CooperstockSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Abstract
Abstract: Input devices are often evaluated in terms of their throughput, as measured by Fitts’ Law, and by their resolution. However, little effort has been made to understand the limit of resolution that is controllable or “usable” by the human using the device. What is the point of a 5000 dpi computer mouse if the human motor control system is far from being able to achieve this level of precision? This paper introduces the concept of a Device’s Human Resolution (DHR): the smallest target size that users can acquire with an ordinary amount of effort using one particular device. We report on our attempt to find the DHR through a target acquisition experiment involving very small target sizes. Three devices were tested: a gaming mouse (5700 dpi), a PHANTOM (450 dpi), and a free-space device (85 dpi). The results indicate a decrease in target acquisition performance that is not predicted by Fitts’ Law when target sizes become smaller than certain levels. In addition, the experiment shows that the actual achievable resolution varies greatly depending on the input device used, hence the need to include the “device” in the definition of DHR.
Url:
DOI: 10.1007/978-3-642-23771-3_10
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ISTEX:76F2FCCAF2FA2741257EEBE23374FB227FD9D730Le document en format XML
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However, little effort has been made to understand the limit of resolution that is controllable or “usable” by the human using the device. What is the point of a 5000 dpi computer mouse if the human motor control system is far from being able to achieve this level of precision? This paper introduces the concept of a Device’s Human Resolution (DHR): the smallest target size that users can acquire with an ordinary amount of effort using one particular device. We report on our attempt to find the DHR through a target acquisition experiment involving very small target sizes. Three devices were tested: a gaming mouse (5700 dpi), a PHANTOM (450 dpi), and a free-space device (85 dpi). The results indicate a decrease in target acquisition performance that is not predicted by Fitts’ Law when target sizes become smaller than certain levels. In addition, the experiment shows that the actual achievable resolution varies greatly depending on the input device used, hence the need to include the “device” in the definition of DHR.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>François Bérard</name><affiliations><json:string>LIG, Grenoble-INP, University of Grenoble, BP 53 - 38041, Grenoble cedex 9, France</json:string><json:string>E-mail: Francois.Berard@imag.fr</json:string></affiliations></json:item><json:item><name>Guangyu Wang</name><affiliations><json:string>Centre for Intelligent Machines, McGill University, H3A 2A7, Montréal, Canada</json:string><json:string>E-mail: gywang@cim.mcgill.ca</json:string></affiliations></json:item><json:item><name>Jeremy R. 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Germany</affiliation></editor><biblScope><date>2011</date></biblScope><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="seriesId">558</idno></series><idno type="istex">76F2FCCAF2FA2741257EEBE23374FB227FD9D730</idno><idno type="DOI">10.1007/978-3-642-23771-3_10</idno><idno type="ChapterID">10</idno><idno type="ChapterID">Chap10</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2011</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: Input devices are often evaluated in terms of their throughput, as measured by Fitts’ Law, and by their resolution. However, little effort has been made to understand the limit of resolution that is controllable or “usable” by the human using the device. What is the point of a 5000 dpi computer mouse if the human motor control system is far from being able to achieve this level of precision? This paper introduces the concept of a Device’s Human Resolution (DHR): the smallest target size that users can acquire with an ordinary amount of effort using one particular device. We report on our attempt to find the DHR through a target acquisition experiment involving very small target sizes. Three devices were tested: a gaming mouse (5700 dpi), a PHANTOM (450 dpi), and a free-space device (85 dpi). The results indicate a decrease in target acquisition performance that is not predicted by Fitts’ Law when target sizes become smaller than certain levels. In addition, the experiment shows that the actual achievable resolution varies greatly depending on the input device used, hence the need to include the “device” in the definition of DHR.</p></abstract><textClass><keywords scheme="Book Subject Collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass><keywords scheme="Book Subject Group"><list><label>I</label><label>I18067</label><label>I18040</label><label>I21017</label><label>I24032</label><label>I24040</label><label>I14029</label><item><term>Computer Science</term></item><item><term>User Interfaces and Human Computer Interaction</term></item><item><term>Information Systems Applications (incl.Internet)</term></item><item><term>Artificial Intelligence (incl. 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Science</OrgName><OrgAddress><City>Rehovot</City><Country>Israel</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>University of Bern</OrgName><OrgAddress><City>Bern</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgName>Indian Institute of Technology</OrgName><OrgAddress><City>Madras</City><Country>India</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>University of Dortmund</OrgName><OrgAddress><City>Dortmund</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><State>MA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>University of California</OrgName><OrgAddress><City>Los Angeles</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgName>University of California</OrgName><OrgAddress><City>Berkeley</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Rice University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-642-23771-3</BookID><BookTitle>Human-Computer Interaction – INTERACT 2011</BookTitle><BookSubTitle>13th IFIP TC 13 International Conference, Lisbon, Portugal, September 5-9, 2011, Proceedings, Part II</BookSubTitle><BookVolumeNumber>6947</BookVolumeNumber><BookSequenceNumber>6947</BookSequenceNumber><BookDOI>10.1007/978-3-642-23771-3</BookDOI><BookTitleID>273004</BookTitleID><BookPrintISBN>978-3-642-23770-6</BookPrintISBN><BookElectronicISBN>978-3-642-23771-3</BookElectronicISBN><BookChapterCount>49</BookChapterCount><BookCopyright><CopyrightHolderName>IFIP International Federation for Information Processing</CopyrightHolderName><CopyrightYear>2011</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I18067" Priority="1" Type="Secondary">User Interfaces and Human Computer Interaction</BookSubject><BookSubject Code="I18040" Priority="2" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I21017" Priority="3" Type="Secondary">Artificial Intelligence (incl. 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Madeira</OrgName><OrgAddress><Postcode>9020-105</Postcode><City>Funchal</City><Country>Portugal</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>School of Computing</OrgDivision><OrgName>Queen’s University</OrgName><OrgAddress><Postcode>K7L 3N6</Postcode><City>Kingston</City><State>ON</State><Country>Canada</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgDivision>Departamento de Engenharia Informática</OrgDivision><OrgName>Instituto Superior Técnico</OrgName><OrgAddress><Postcode>1049-001</Postcode><City>Lisbon</City><Country>Portugal</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgDivision>Mathematics and Engineering Department</OrgDivision><OrgName>University of Madeira</OrgName><OrgAddress><Postcode>9000-390</Postcode><City>Funchal</City><Country>Portugal</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgDivision>Institute of Research in Informatics of Toulouse (IRIT)</OrgDivision><OrgName>University Paul Sabatier</OrgName><OrgAddress><Street>118 Route de Narbonne</Street><Postcode>31062</Postcode><City>Toulouse Cedex 9</City><Country>France</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part1"><PartInfo TocLevels="0"><PartID>1</PartID><PartSequenceNumber>1</PartSequenceNumber><PartTitle>Long and Short Papers</PartTitle><PartChapterCount>49</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Human-Computer Interaction – INTERACT 2011</BookTitle></PartContext></PartInfo><SubPart ID="SubPart3"><SubPartInfo><SubPartID>3</SubPartID><SubPartSequenceNumber>3</SubPartSequenceNumber><SubPartTitle>Human Factors I</SubPartTitle><SubPartChapterCount>3</SubPartChapterCount></SubPartInfo><Chapter ID="Chap10" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>10</ChapterID><ChapterDOI>10.1007/978-3-642-23771-3_10</ChapterDOI><ChapterSequenceNumber>10</ChapterSequenceNumber><ChapterTitle Language="En">On the Limits of the Human Motor Control Precision: The Search for a Device’s Human Resolution</ChapterTitle><ChapterFirstPage>107</ChapterFirstPage><ChapterLastPage>122</ChapterLastPage><ChapterCopyright><CopyrightHolderName>IFIP International Federation for Information Processing</CopyrightHolderName><CopyrightYear>2011</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>1</PartID><BookID>978-3-642-23771-3</BookID><BookTitle>Human-Computer Interaction – INTERACT 2011</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff21"><AuthorName DisplayOrder="Western"><GivenName>François</GivenName><FamilyName>Bérard</FamilyName></AuthorName><Contact><Email>Francois.Berard@imag.fr</Email></Contact></Author><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Guangyu</GivenName><FamilyName>Wang</FamilyName></AuthorName><Contact><Email>gywang@cim.mcgill.ca</Email></Contact></Author><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Jeremy</GivenName><GivenName>R.</GivenName><FamilyName>Cooperstock</FamilyName></AuthorName><Contact><Email>jer@cim.mcgill.ca</Email></Contact></Author><Affiliation ID="Aff21"><OrgDivision>LIG, Grenoble-INP</OrgDivision><OrgName>University of Grenoble</OrgName><OrgAddress><Postbox>BP 53 - 38041</Postbox><City>Grenoble cedex 9</City><Country>France</Country></OrgAddress></Affiliation><Affiliation ID="Aff22"><OrgDivision>Centre for Intelligent Machines</OrgDivision><OrgName>McGill University</OrgName><OrgAddress><City>Montréal</City><Postcode>H3A 2A7</Postcode><Country>Canada</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Input devices are often evaluated in terms of their throughput, as measured by Fitts’ Law, and by their resolution. However, little effort has been made to understand the limit of resolution that is controllable or “usable” by the human using the device. What is the point of a 5000 dpi computer mouse if the human motor control system is far from being able to achieve this level of precision? This paper introduces the concept of a Device’s Human Resolution (DHR): the smallest target size that users can acquire with an ordinary amount of effort using one particular device. We report on our attempt to find the DHR through a target acquisition experiment involving very small target sizes. Three devices were tested: a gaming mouse (5700 dpi), a PHANTOM (450 dpi), and a free-space device (85 dpi). The results indicate a decrease in target acquisition performance that is not predicted by Fitts’ Law when target sizes become smaller than certain levels. In addition, the experiment shows that the actual achievable resolution varies greatly depending on the input device used, hence the need to include the “device” in the definition of DHR.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>input device</Keyword><Keyword>target acquisition</Keyword><Keyword>accuracy</Keyword><Keyword>device’s human resolution</Keyword><Keyword>resolution</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></SubPart></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>On the Limits of the Human Motor Control Precision: The Search for a Device’s Human Resolution</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>On the Limits of the Human Motor Control Precision: The Search for a Device’s Human Resolution</title></titleInfo><name type="personal"><namePart type="given">François</namePart><namePart type="family">Bérard</namePart><affiliation>LIG, Grenoble-INP, University of Grenoble, BP 53 - 38041, Grenoble cedex 9, France</affiliation><affiliation>E-mail: Francois.Berard@imag.fr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Guangyu</namePart><namePart type="family">Wang</namePart><affiliation>Centre for Intelligent Machines, McGill University, H3A 2A7, Montréal, Canada</affiliation><affiliation>E-mail: gywang@cim.mcgill.ca</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Jeremy</namePart><namePart type="given">R.</namePart><namePart type="family">Cooperstock</namePart><affiliation>Centre for Intelligent Machines, McGill University, H3A 2A7, Montréal, Canada</affiliation><affiliation>E-mail: jer@cim.mcgill.ca</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2011</dateIssued><copyrightDate encoding="w3cdtf">2011</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: Input devices are often evaluated in terms of their throughput, as measured by Fitts’ Law, and by their resolution. However, little effort has been made to understand the limit of resolution that is controllable or “usable” by the human using the device. What is the point of a 5000 dpi computer mouse if the human motor control system is far from being able to achieve this level of precision? This paper introduces the concept of a Device’s Human Resolution (DHR): the smallest target size that users can acquire with an ordinary amount of effort using one particular device. We report on our attempt to find the DHR through a target acquisition experiment involving very small target sizes. Three devices were tested: a gaming mouse (5700 dpi), a PHANTOM (450 dpi), and a free-space device (85 dpi). The results indicate a decrease in target acquisition performance that is not predicted by Fitts’ Law when target sizes become smaller than certain levels. In addition, the experiment shows that the actual achievable resolution varies greatly depending on the input device used, hence the need to include the “device” in the definition of DHR.</abstract><relatedItem type="host"><titleInfo><title>Human-Computer Interaction – INTERACT 2011</title><subTitle>13th IFIP TC 13 International Conference, Lisbon, Portugal, September 5-9, 2011, Proceedings, Part II</subTitle></titleInfo><name type="personal"><namePart type="given">Pedro</namePart><namePart type="family">Campos</namePart><affiliation>Madeira Interactive Technologies Institute, University of Madeira, 9020-105, Funchal, Portugal</affiliation><affiliation>E-mail: pcampos@uma.pt</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Nicholas</namePart><namePart type="family">Graham</namePart><affiliation>School of Computing, Queen’s University, K7L 3N6, Kingston, ON, Canada</affiliation><affiliation>E-mail: graham@equis.cs.queensu.ca</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Joaquim</namePart><namePart type="family">Jorge</namePart><affiliation>Departamento de Engenharia Informática, Instituto Superior Técnico, 1049-001, Lisbon, Portugal</affiliation><affiliation>E-mail: jaj@inesc.pt</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Nuno</namePart><namePart type="family">Nunes</namePart><affiliation>Mathematics and Engineering Department, University of Madeira, 9000-390, Funchal, Portugal</affiliation><affiliation>E-mail: njn@uma.pt</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Philippe</namePart><namePart type="family">Palanque</namePart><affiliation>Institute of Research in Informatics of Toulouse (IRIT), University Paul Sabatier, 118 Route de Narbonne, 31062, Toulouse Cedex 9, France</affiliation><affiliation>E-mail: palanque@irit.fr</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Marco</namePart><namePart type="family">Winckler</namePart><affiliation>Institute of Research in Informatics of Toulouse (IRIT), University Paul Sabatier, 118 Route de Narbonne, 31062, Toulouse Cedex 9, France</affiliation><affiliation>E-mail: winckler@irit.fr</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2011</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book Subject Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book Subject Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I18067">User Interfaces and Human Computer Interaction</topic><topic authority="SpringerSubjectCodes" authorityURI="I18040">Information Systems Applications (incl.Internet)</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. 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