Training Haptic Stiffness Discrimination: Time Course of Learning With or Without Visual Information and Knowledge of Results
Identifieur interne : 000185 ( PascalFrancis/Corpus ); précédent : 000184; suivant : 000186Training Haptic Stiffness Discrimination: Time Course of Learning With or Without Visual Information and Knowledge of Results
Auteurs : Kinneret Teodorescu ; Sylvain Bouchigny ; Maria KormanSource :
- Human factors [ 0018-7208 ] ; 2013.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
Objective: In this study, we explored the time course of haptic stiffness discrimination learning and how it was affected by two experimental factors, the addition of visual information and/or knowledge of results (KR) during training. Background: Stiffness perception may integrate both haptic and visual modalities. However, in many tasks, the visual field is typically occluded, forcing stiffness perception to be dependent exclusively on haptic information. No studies to date addressed the time course of haptic stiffness perceptual learning. Method: Using a virtual environment (VE) haptic interface and a two-alternative forced-choice discrimination task, the haptic stiffness discrimination ability of 48 participants was tested across 2 days. Each day included two haptic test blocks separated by a training block. Additional visual information and/or KR were manipulated between participants during training blocks. Results: Practice repetitions alone induced significant improvement in haptic stiffness discrimination. Between days, accuracy was slightly improved, but decision time performance was deteriorated. The addition of visual information and/or KR had only temporary effects on decision time, without affecting the time course of haptic discrimination learning. Conclusion: Learning in haptic stiffness discrimination appears to evolve through at least two distinctive phases: A single training session resulted in both immediate and latent learning. This learning was not affected by the training manipulations inspected. Application: Training skills in VE in spaced sessions can be beneficial for tasks in which haptic perception is critical, such as surgery procedures, when the visual field is occluded. However, training protocols for such tasks should account for low impact of multisensory information and KR.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
pA |
|
---|
Format Inist (serveur)
NO : | PASCAL 13-0274805 INIST |
---|---|
ET : | Training Haptic Stiffness Discrimination: Time Course of Learning With or Without Visual Information and Knowledge of Results |
AU : | TEODORESCU (Kinneret); BOUCHIGNY (Sylvain); KORMAN (Maria) |
AF : | Technion-Israel Institute of Technology/Haifa/Israël (1 aut.); CEA LIST/Paris/France (2 aut.); University of Haifa/Haifa/Israël (3 aut.) |
DT : | Publication en série; Niveau analytique |
SO : | Human factors; ISSN 0018-7208; Coden HUFAA6; Etats-Unis; Da. 2013; Vol. 55; No. 4; Pp. 830-840; Bibl. 1 p.1/4 |
LA : | Anglais |
EA : | Objective: In this study, we explored the time course of haptic stiffness discrimination learning and how it was affected by two experimental factors, the addition of visual information and/or knowledge of results (KR) during training. Background: Stiffness perception may integrate both haptic and visual modalities. However, in many tasks, the visual field is typically occluded, forcing stiffness perception to be dependent exclusively on haptic information. No studies to date addressed the time course of haptic stiffness perceptual learning. Method: Using a virtual environment (VE) haptic interface and a two-alternative forced-choice discrimination task, the haptic stiffness discrimination ability of 48 participants was tested across 2 days. Each day included two haptic test blocks separated by a training block. Additional visual information and/or KR were manipulated between participants during training blocks. Results: Practice repetitions alone induced significant improvement in haptic stiffness discrimination. Between days, accuracy was slightly improved, but decision time performance was deteriorated. The addition of visual information and/or KR had only temporary effects on decision time, without affecting the time course of haptic discrimination learning. Conclusion: Learning in haptic stiffness discrimination appears to evolve through at least two distinctive phases: A single training session resulted in both immediate and latent learning. This learning was not affected by the training manipulations inspected. Application: Training skills in VE in spaced sessions can be beneficial for tasks in which haptic perception is critical, such as surgery procedures, when the visual field is occluded. However, training protocols for such tasks should account for low impact of multisensory information and KR. |
CC : | 002A26E05 |
FD : | Sensibilité tactile; Discrimination; Analyse temporelle; Apprentissage; Vision; Connaissance résultat; Réalité virtuelle; Performance; Perception; Interface utilisateur; Rigidité; Homme |
FG : | Processus acquisition; Cognition |
ED : | Tactile sensitivity; Discrimination; Time analysis; Learning; Vision; Knowledge of results; Virtual reality; Performance; Perception; User interface; Stiffness; Human |
EG : | Acquisition process; Cognition |
SD : | Sensibilidad tactil; Discriminación; Análisis temporal; Aprendizaje; Visión; Conocimiento resultado; Realidad virtual; Rendimiento; Percepción; Interfase usuario; Rigidez; Hombre |
LO : | INIST-2452.354000506531210100 |
ID : | 13-0274805 |
Links to Exploration step
Pascal:13-0274805Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Training Haptic Stiffness Discrimination: Time Course of Learning With or Without Visual Information and Knowledge of Results</title>
<author><name sortKey="Teodorescu, Kinneret" sort="Teodorescu, Kinneret" uniqKey="Teodorescu K" first="Kinneret" last="Teodorescu">Kinneret Teodorescu</name>
<affiliation><inist:fA14 i1="01"><s1>Technion-Israel Institute of Technology</s1>
<s2>Haifa</s2>
<s3>ISR</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Bouchigny, Sylvain" sort="Bouchigny, Sylvain" uniqKey="Bouchigny S" first="Sylvain" last="Bouchigny">Sylvain Bouchigny</name>
<affiliation><inist:fA14 i1="02"><s1>CEA LIST</s1>
<s2>Paris</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Korman, Maria" sort="Korman, Maria" uniqKey="Korman M" first="Maria" last="Korman">Maria Korman</name>
<affiliation><inist:fA14 i1="03"><s1>University of Haifa</s1>
<s2>Haifa</s2>
<s3>ISR</s3>
<sZ>3 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">13-0274805</idno>
<date when="2013">2013</date>
<idno type="stanalyst">PASCAL 13-0274805 INIST</idno>
<idno type="RBID">Pascal:13-0274805</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000185</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Training Haptic Stiffness Discrimination: Time Course of Learning With or Without Visual Information and Knowledge of Results</title>
<author><name sortKey="Teodorescu, Kinneret" sort="Teodorescu, Kinneret" uniqKey="Teodorescu K" first="Kinneret" last="Teodorescu">Kinneret Teodorescu</name>
<affiliation><inist:fA14 i1="01"><s1>Technion-Israel Institute of Technology</s1>
<s2>Haifa</s2>
<s3>ISR</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Bouchigny, Sylvain" sort="Bouchigny, Sylvain" uniqKey="Bouchigny S" first="Sylvain" last="Bouchigny">Sylvain Bouchigny</name>
<affiliation><inist:fA14 i1="02"><s1>CEA LIST</s1>
<s2>Paris</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Korman, Maria" sort="Korman, Maria" uniqKey="Korman M" first="Maria" last="Korman">Maria Korman</name>
<affiliation><inist:fA14 i1="03"><s1>University of Haifa</s1>
<s2>Haifa</s2>
<s3>ISR</s3>
<sZ>3 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Human factors</title>
<title level="j" type="abbreviated">Hum. factors</title>
<idno type="ISSN">0018-7208</idno>
<imprint><date when="2013">2013</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Human factors</title>
<title level="j" type="abbreviated">Hum. factors</title>
<idno type="ISSN">0018-7208</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Discrimination</term>
<term>Human</term>
<term>Knowledge of results</term>
<term>Learning</term>
<term>Perception</term>
<term>Performance</term>
<term>Stiffness</term>
<term>Tactile sensitivity</term>
<term>Time analysis</term>
<term>User interface</term>
<term>Virtual reality</term>
<term>Vision</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Sensibilité tactile</term>
<term>Discrimination</term>
<term>Analyse temporelle</term>
<term>Apprentissage</term>
<term>Vision</term>
<term>Connaissance résultat</term>
<term>Réalité virtuelle</term>
<term>Performance</term>
<term>Perception</term>
<term>Interface utilisateur</term>
<term>Rigidité</term>
<term>Homme</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Objective: In this study, we explored the time course of haptic stiffness discrimination learning and how it was affected by two experimental factors, the addition of visual information and/or knowledge of results (KR) during training. Background: Stiffness perception may integrate both haptic and visual modalities. However, in many tasks, the visual field is typically occluded, forcing stiffness perception to be dependent exclusively on haptic information. No studies to date addressed the time course of haptic stiffness perceptual learning. Method: Using a virtual environment (VE) haptic interface and a two-alternative forced-choice discrimination task, the haptic stiffness discrimination ability of 48 participants was tested across 2 days. Each day included two haptic test blocks separated by a training block. Additional visual information and/or KR were manipulated between participants during training blocks. Results: Practice repetitions alone induced significant improvement in haptic stiffness discrimination. Between days, accuracy was slightly improved, but decision time performance was deteriorated. The addition of visual information and/or KR had only temporary effects on decision time, without affecting the time course of haptic discrimination learning. Conclusion: Learning in haptic stiffness discrimination appears to evolve through at least two distinctive phases: A single training session resulted in both immediate and latent learning. This learning was not affected by the training manipulations inspected. Application: Training skills in VE in spaced sessions can be beneficial for tasks in which haptic perception is critical, such as surgery procedures, when the visual field is occluded. However, training protocols for such tasks should account for low impact of multisensory information and KR.</div>
</front>
</TEI>
<inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0018-7208</s0>
</fA01>
<fA02 i1="01"><s0>HUFAA6</s0>
</fA02>
<fA03 i2="1"><s0>Hum. factors</s0>
</fA03>
<fA05><s2>55</s2>
</fA05>
<fA06><s2>4</s2>
</fA06>
<fA08 i1="01" i2="1" l="ENG"><s1>Training Haptic Stiffness Discrimination: Time Course of Learning With or Without Visual Information and Knowledge of Results</s1>
</fA08>
<fA11 i1="01" i2="1"><s1>TEODORESCU (Kinneret)</s1>
</fA11>
<fA11 i1="02" i2="1"><s1>BOUCHIGNY (Sylvain)</s1>
</fA11>
<fA11 i1="03" i2="1"><s1>KORMAN (Maria)</s1>
</fA11>
<fA14 i1="01"><s1>Technion-Israel Institute of Technology</s1>
<s2>Haifa</s2>
<s3>ISR</s3>
<sZ>1 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>CEA LIST</s1>
<s2>Paris</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
</fA14>
<fA14 i1="03"><s1>University of Haifa</s1>
<s2>Haifa</s2>
<s3>ISR</s3>
<sZ>3 aut.</sZ>
</fA14>
<fA20><s1>830-840</s1>
</fA20>
<fA21><s1>2013</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA43 i1="01"><s1>INIST</s1>
<s2>2452</s2>
<s5>354000506531210100</s5>
</fA43>
<fA44><s0>0000</s0>
<s1>© 2013 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>1 p.1/4</s0>
</fA45>
<fA47 i1="01" i2="1"><s0>13-0274805</s0>
</fA47>
<fA60><s1>P</s1>
</fA60>
<fA61><s0>A</s0>
</fA61>
<fA64 i1="01" i2="1"><s0>Human factors</s0>
</fA64>
<fA66 i1="01"><s0>USA</s0>
</fA66>
<fC01 i1="01" l="ENG"><s0>Objective: In this study, we explored the time course of haptic stiffness discrimination learning and how it was affected by two experimental factors, the addition of visual information and/or knowledge of results (KR) during training. Background: Stiffness perception may integrate both haptic and visual modalities. However, in many tasks, the visual field is typically occluded, forcing stiffness perception to be dependent exclusively on haptic information. No studies to date addressed the time course of haptic stiffness perceptual learning. Method: Using a virtual environment (VE) haptic interface and a two-alternative forced-choice discrimination task, the haptic stiffness discrimination ability of 48 participants was tested across 2 days. Each day included two haptic test blocks separated by a training block. Additional visual information and/or KR were manipulated between participants during training blocks. Results: Practice repetitions alone induced significant improvement in haptic stiffness discrimination. Between days, accuracy was slightly improved, but decision time performance was deteriorated. The addition of visual information and/or KR had only temporary effects on decision time, without affecting the time course of haptic discrimination learning. Conclusion: Learning in haptic stiffness discrimination appears to evolve through at least two distinctive phases: A single training session resulted in both immediate and latent learning. This learning was not affected by the training manipulations inspected. Application: Training skills in VE in spaced sessions can be beneficial for tasks in which haptic perception is critical, such as surgery procedures, when the visual field is occluded. However, training protocols for such tasks should account for low impact of multisensory information and KR.</s0>
</fC01>
<fC02 i1="01" i2="X"><s0>002A26E05</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE"><s0>Sensibilité tactile</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Tactile sensitivity</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Sensibilidad tactil</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Discrimination</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>Discrimination</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Discriminación</s0>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Analyse temporelle</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Time analysis</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Análisis temporal</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Apprentissage</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Learning</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Aprendizaje</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Vision</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Vision</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Visión</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Connaissance résultat</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Knowledge of results</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Conocimiento resultado</s0>
<s5>06</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Réalité virtuelle</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Virtual reality</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Realidad virtual</s0>
<s5>07</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE"><s0>Performance</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG"><s0>Performance</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA"><s0>Rendimiento</s0>
<s5>08</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE"><s0>Perception</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG"><s0>Perception</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA"><s0>Percepción</s0>
<s5>09</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE"><s0>Interface utilisateur</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG"><s0>User interface</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA"><s0>Interfase usuario</s0>
<s5>10</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE"><s0>Rigidité</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG"><s0>Stiffness</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Rigidez</s0>
<s5>11</s5>
</fC03>
<fC03 i1="12" i2="X" l="FRE"><s0>Homme</s0>
<s5>18</s5>
</fC03>
<fC03 i1="12" i2="X" l="ENG"><s0>Human</s0>
<s5>18</s5>
</fC03>
<fC03 i1="12" i2="X" l="SPA"><s0>Hombre</s0>
<s5>18</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE"><s0>Processus acquisition</s0>
<s5>37</s5>
</fC07>
<fC07 i1="01" i2="X" l="ENG"><s0>Acquisition process</s0>
<s5>37</s5>
</fC07>
<fC07 i1="01" i2="X" l="SPA"><s0>Proceso adquisición</s0>
<s5>37</s5>
</fC07>
<fC07 i1="02" i2="X" l="FRE"><s0>Cognition</s0>
<s5>38</s5>
</fC07>
<fC07 i1="02" i2="X" l="ENG"><s0>Cognition</s0>
<s5>38</s5>
</fC07>
<fC07 i1="02" i2="X" l="SPA"><s0>Cognición</s0>
<s5>38</s5>
</fC07>
<fN21><s1>259</s1>
</fN21>
</pA>
</standard>
<server><NO>PASCAL 13-0274805 INIST</NO>
<ET>Training Haptic Stiffness Discrimination: Time Course of Learning With or Without Visual Information and Knowledge of Results</ET>
<AU>TEODORESCU (Kinneret); BOUCHIGNY (Sylvain); KORMAN (Maria)</AU>
<AF>Technion-Israel Institute of Technology/Haifa/Israël (1 aut.); CEA LIST/Paris/France (2 aut.); University of Haifa/Haifa/Israël (3 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Human factors; ISSN 0018-7208; Coden HUFAA6; Etats-Unis; Da. 2013; Vol. 55; No. 4; Pp. 830-840; Bibl. 1 p.1/4</SO>
<LA>Anglais</LA>
<EA>Objective: In this study, we explored the time course of haptic stiffness discrimination learning and how it was affected by two experimental factors, the addition of visual information and/or knowledge of results (KR) during training. Background: Stiffness perception may integrate both haptic and visual modalities. However, in many tasks, the visual field is typically occluded, forcing stiffness perception to be dependent exclusively on haptic information. No studies to date addressed the time course of haptic stiffness perceptual learning. Method: Using a virtual environment (VE) haptic interface and a two-alternative forced-choice discrimination task, the haptic stiffness discrimination ability of 48 participants was tested across 2 days. Each day included two haptic test blocks separated by a training block. Additional visual information and/or KR were manipulated between participants during training blocks. Results: Practice repetitions alone induced significant improvement in haptic stiffness discrimination. Between days, accuracy was slightly improved, but decision time performance was deteriorated. The addition of visual information and/or KR had only temporary effects on decision time, without affecting the time course of haptic discrimination learning. Conclusion: Learning in haptic stiffness discrimination appears to evolve through at least two distinctive phases: A single training session resulted in both immediate and latent learning. This learning was not affected by the training manipulations inspected. Application: Training skills in VE in spaced sessions can be beneficial for tasks in which haptic perception is critical, such as surgery procedures, when the visual field is occluded. However, training protocols for such tasks should account for low impact of multisensory information and KR.</EA>
<CC>002A26E05</CC>
<FD>Sensibilité tactile; Discrimination; Analyse temporelle; Apprentissage; Vision; Connaissance résultat; Réalité virtuelle; Performance; Perception; Interface utilisateur; Rigidité; Homme</FD>
<FG>Processus acquisition; Cognition</FG>
<ED>Tactile sensitivity; Discrimination; Time analysis; Learning; Vision; Knowledge of results; Virtual reality; Performance; Perception; User interface; Stiffness; Human</ED>
<EG>Acquisition process; Cognition</EG>
<SD>Sensibilidad tactil; Discriminación; Análisis temporal; Aprendizaje; Visión; Conocimiento resultado; Realidad virtual; Rendimiento; Percepción; Interfase usuario; Rigidez; Hombre</SD>
<LO>INIST-2452.354000506531210100</LO>
<ID>13-0274805</ID>
</server>
</inist>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/PascalFrancis/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000185 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Corpus/biblio.hfd -nk 000185 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Ticri/CIDE |area= HapticV1 |flux= PascalFrancis |étape= Corpus |type= RBID |clé= Pascal:13-0274805 |texte= Training Haptic Stiffness Discrimination: Time Course of Learning With or Without Visual Information and Knowledge of Results }}
![]() | This area was generated with Dilib version V0.6.23. | ![]() |