Child’s Perception of Robot’s Emotions: Effects of Platform, Context and Experience View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-11

AUTHORS

I. Cohen, R. Looije, M. A. Neerincx

ABSTRACT

Social robots may comfort and support children who have to cope with chronic diseases like diabetes. In social interactions, it is important to be able to express recognizable emotions. Studies show that the iCat robot, with its humanoid facial features, has this capability. In this paper we look if a Nao robot, without humanoid facial features, but with a body and colored eyes is also able to express recognizable emotions. We compare the recognition rates of the emotions between the Nao and the iCat. First a set of bodily expressions of the Nao for five basic emotions (angry, fear, happy, sad, surprise) was created and evaluated. With a signal detection task, the best recognizable bodily expression for each emotion was chosen for the final set. Then, fourteen children between 8 and 9 years old interacted both with the Nao and iCat to recognize the emotions within context, in a story-telling session, and without context. These interactions were repeated one week later to study the learning effect. For both robots, recognition rates for the expressions were relatively high (between 68 and 99 % accuracy). Only for the emotional state of sadness, the recognition was significantly higher for the iCat (95 %) than for the Nao (68 %). The emotions shown within context had higher recognition rates than those without context and during the second interaction the emotion recognition was also significantly higher than during the first session for both robots. To conclude: we succeeded to design a set of well-recognized dynamic emotional expressions for a robot platform, the Nao, without facial features. These expressions were better recognized when placed in a context, and when shown a week later. This set provides useful ingredients of social robot dialogs with children. More... »

PAGES

507-518

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12369-014-0230-6

DOI

http://dx.doi.org/10.1007/s12369-014-0230-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037708782


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Netherlands Organisation for Applied Scientific Research", 
          "id": "https://www.grid.ac/institutes/grid.4858.1", 
          "name": [
            "Interactive Intelligence, Delft University of Technology, Delft, The Netherlands", 
            "TNO, P.O. Box 23, 3769\u00a0ZG, Soesterberg, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cohen", 
        "givenName": "I.", 
        "id": "sg:person.012431210625.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012431210625.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Netherlands Organisation for Applied Scientific Research", 
          "id": "https://www.grid.ac/institutes/grid.4858.1", 
          "name": [
            "Interactive Intelligence, Delft University of Technology, Delft, The Netherlands", 
            "TNO, P.O. Box 23, 3769\u00a0ZG, Soesterberg, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Looije", 
        "givenName": "R.", 
        "id": "sg:person.011760117331.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011760117331.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Netherlands Organisation for Applied Scientific Research", 
          "id": "https://www.grid.ac/institutes/grid.4858.1", 
          "name": [
            "Interactive Intelligence, Delft University of Technology, Delft, The Netherlands", 
            "TNO, P.O. Box 23, 3769\u00a0ZG, Soesterberg, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Neerincx", 
        "givenName": "M. A.", 
        "id": "sg:person.01130611557.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01130611557.59"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/cav.29", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002040857"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0707769104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002355489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12369-009-0024-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005554475", 
          "https://doi.org/10.1007/s12369-009-0024-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00221325.1994.9914760", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006796575"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0921-8890(02)00373-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006994182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/026999399379140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011113910"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/026999399379168", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015666865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.paid.2003.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017117655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.paid.2003.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017117655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3758/bf03207704", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022567151", 
          "https://doi.org/10.3758/bf03207704"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijhcs.2007.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023296479"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1084822308325695", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029376334"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1084822308325695", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029376334"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1877826.1877837", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030031342"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:jonb.0000023655.25550.be", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035972085", 
          "https://doi.org/10.1023/b:jonb.0000023655.25550.be"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-73216-7_40", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039489070", 
          "https://doi.org/10.1007/978-3-540-73216-7_40"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-73216-7_40", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039489070", 
          "https://doi.org/10.1007/978-3-540-73216-7_40"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rstb.2009.0190", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041881194"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/14616730802461409", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041937490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tics.2007.06.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042691894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09540090310001658793", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042755304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-25504-5_7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043307265", 
          "https://doi.org/10.1007/978-3-642-25504-5_7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12369-013-0211-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043426075", 
          "https://doi.org/10.1007/s12369-013-0211-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12369-013-0200-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044629392", 
          "https://doi.org/10.1007/s12369-013-0200-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.yebeh.2009.01.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046476812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00779-009-0263-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047998061", 
          "https://doi.org/10.1007/s00779-009-0263-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00779-009-0263-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047998061", 
          "https://doi.org/10.1007/s00779-009-0263-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12369-013-0206-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050427988", 
          "https://doi.org/10.1007/s12369-013-0206-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tmm.2009.2021722", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061697638"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/154193120905300205", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064050668"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/154193120905300205", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064050668"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.14198/jopha.2008.2.2.03", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067201657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/roman.2010.5598649", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093219477"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/acii.2009.5349582", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095672812"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-11", 
    "datePublishedReg": "2014-11-01", 
    "description": "Social robots may comfort and support children who have to cope with chronic diseases like diabetes. In social interactions, it is important to be able to express recognizable emotions. Studies show that the iCat robot, with its humanoid facial features, has this capability. In this paper we look if a Nao robot, without humanoid facial features, but with a body and colored eyes is also able to express recognizable emotions. We compare the recognition rates of the emotions between the Nao and the iCat. First a set of bodily expressions of the Nao for five basic emotions (angry, fear, happy, sad, surprise) was created and evaluated. With a signal detection task, the best recognizable bodily expression for each emotion was chosen for the final set. Then, fourteen children between 8 and 9 years old interacted both with the Nao and iCat to recognize the emotions within context, in a story-telling session, and without context. These interactions were repeated one week later to study the learning effect. For both robots, recognition rates for the expressions were relatively high (between 68 and 99 % accuracy). Only for the emotional state of sadness, the recognition was significantly higher for the iCat (95 %) than for the Nao (68 %). The emotions shown within context had higher recognition rates than those without context and during the second interaction the emotion recognition was also significantly higher than during the first session for both robots. To conclude: we succeeded to design a set of well-recognized dynamic emotional expressions for a robot platform, the Nao, without facial features. These expressions were better recognized when placed in a context, and when shown a week later. This set provides useful ingredients of social robot dialogs with children.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12369-014-0230-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3784914", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1049411", 
        "issn": [
          "1875-4791", 
          "1875-4805"
        ], 
        "name": "International Journal of Social Robotics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "6"
      }
    ], 
    "name": "Child\u2019s Perception of Robot\u2019s Emotions: Effects of Platform, Context and Experience", 
    "pagination": "507-518", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b3a1b45f9e687ef4f45e8adf2ad9f325dc67e09854f324ca2bc1231e035f3a89"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12369-014-0230-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1037708782"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12369-014-0230-6", 
      "https://app.dimensions.ai/details/publication/pub.1037708782"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:35", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8690_00000523.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs12369-014-0230-6"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12369-014-0230-6'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12369-014-0230-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12369-014-0230-6'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12369-014-0230-6'


 

This table displays all metadata directly associated to this object as RDF triples.

174 TRIPLES      21 PREDICATES      56 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12369-014-0230-6 schema:about anzsrc-for:17
2 anzsrc-for:1701
3 schema:author Nba8551df2cab4aeeac3e20f7af96fe3f
4 schema:citation sg:pub.10.1007/978-3-540-73216-7_40
5 sg:pub.10.1007/978-3-642-25504-5_7
6 sg:pub.10.1007/s00779-009-0263-2
7 sg:pub.10.1007/s12369-009-0024-4
8 sg:pub.10.1007/s12369-013-0200-4
9 sg:pub.10.1007/s12369-013-0206-y
10 sg:pub.10.1007/s12369-013-0211-1
11 sg:pub.10.1023/b:jonb.0000023655.25550.be
12 sg:pub.10.3758/bf03207704
13 https://doi.org/10.1002/cav.29
14 https://doi.org/10.1016/j.ijhcs.2007.10.001
15 https://doi.org/10.1016/j.paid.2003.08.006
16 https://doi.org/10.1016/j.tics.2007.06.003
17 https://doi.org/10.1016/j.yebeh.2009.01.012
18 https://doi.org/10.1016/s0921-8890(02)00373-1
19 https://doi.org/10.1073/pnas.0707769104
20 https://doi.org/10.1080/00221325.1994.9914760
21 https://doi.org/10.1080/026999399379140
22 https://doi.org/10.1080/026999399379168
23 https://doi.org/10.1080/09540090310001658793
24 https://doi.org/10.1080/14616730802461409
25 https://doi.org/10.1098/rstb.2009.0190
26 https://doi.org/10.1109/acii.2009.5349582
27 https://doi.org/10.1109/roman.2010.5598649
28 https://doi.org/10.1109/tmm.2009.2021722
29 https://doi.org/10.1145/1877826.1877837
30 https://doi.org/10.1177/1084822308325695
31 https://doi.org/10.1177/154193120905300205
32 https://doi.org/10.14198/jopha.2008.2.2.03
33 schema:datePublished 2014-11
34 schema:datePublishedReg 2014-11-01
35 schema:description Social robots may comfort and support children who have to cope with chronic diseases like diabetes. In social interactions, it is important to be able to express recognizable emotions. Studies show that the iCat robot, with its humanoid facial features, has this capability. In this paper we look if a Nao robot, without humanoid facial features, but with a body and colored eyes is also able to express recognizable emotions. We compare the recognition rates of the emotions between the Nao and the iCat. First a set of bodily expressions of the Nao for five basic emotions (angry, fear, happy, sad, surprise) was created and evaluated. With a signal detection task, the best recognizable bodily expression for each emotion was chosen for the final set. Then, fourteen children between 8 and 9 years old interacted both with the Nao and iCat to recognize the emotions within context, in a story-telling session, and without context. These interactions were repeated one week later to study the learning effect. For both robots, recognition rates for the expressions were relatively high (between 68 and 99 % accuracy). Only for the emotional state of sadness, the recognition was significantly higher for the iCat (95 %) than for the Nao (68 %). The emotions shown within context had higher recognition rates than those without context and during the second interaction the emotion recognition was also significantly higher than during the first session for both robots. To conclude: we succeeded to design a set of well-recognized dynamic emotional expressions for a robot platform, the Nao, without facial features. These expressions were better recognized when placed in a context, and when shown a week later. This set provides useful ingredients of social robot dialogs with children.
36 schema:genre research_article
37 schema:inLanguage en
38 schema:isAccessibleForFree false
39 schema:isPartOf N4131a03abd6849e4a025d8a98df801b9
40 N9f4cc92c593f44f6aa7ddaff9d5963b1
41 sg:journal.1049411
42 schema:name Child’s Perception of Robot’s Emotions: Effects of Platform, Context and Experience
43 schema:pagination 507-518
44 schema:productId N1237822cf7494460a6cf186ceebfb527
45 N78ad0cbb9f7d47b1b53670503e55e92e
46 N86d6013dd0cb4917b9a852d5a87219db
47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037708782
48 https://doi.org/10.1007/s12369-014-0230-6
49 schema:sdDatePublished 2019-04-10T22:35
50 schema:sdLicense https://scigraph.springernature.com/explorer/license/
51 schema:sdPublisher N955b85aabf3041808c956a77129707cc
52 schema:url http://link.springer.com/10.1007%2Fs12369-014-0230-6
53 sgo:license sg:explorer/license/
54 sgo:sdDataset articles
55 rdf:type schema:ScholarlyArticle
56 N1237822cf7494460a6cf186ceebfb527 schema:name doi
57 schema:value 10.1007/s12369-014-0230-6
58 rdf:type schema:PropertyValue
59 N4131a03abd6849e4a025d8a98df801b9 schema:issueNumber 4
60 rdf:type schema:PublicationIssue
61 N78ad0cbb9f7d47b1b53670503e55e92e schema:name dimensions_id
62 schema:value pub.1037708782
63 rdf:type schema:PropertyValue
64 N86d6013dd0cb4917b9a852d5a87219db schema:name readcube_id
65 schema:value b3a1b45f9e687ef4f45e8adf2ad9f325dc67e09854f324ca2bc1231e035f3a89
66 rdf:type schema:PropertyValue
67 N955b85aabf3041808c956a77129707cc schema:name Springer Nature - SN SciGraph project
68 rdf:type schema:Organization
69 N9f4cc92c593f44f6aa7ddaff9d5963b1 schema:volumeNumber 6
70 rdf:type schema:PublicationVolume
71 Na39646093ee142cfbdd3a574c7fb746c rdf:first sg:person.011760117331.23
72 rdf:rest Ndc4e155eca8844119a4940ea61899bcd
73 Nba8551df2cab4aeeac3e20f7af96fe3f rdf:first sg:person.012431210625.74
74 rdf:rest Na39646093ee142cfbdd3a574c7fb746c
75 Ndc4e155eca8844119a4940ea61899bcd rdf:first sg:person.01130611557.59
76 rdf:rest rdf:nil
77 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
78 schema:name Psychology and Cognitive Sciences
79 rdf:type schema:DefinedTerm
80 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
81 schema:name Psychology
82 rdf:type schema:DefinedTerm
83 sg:grant.3784914 http://pending.schema.org/fundedItem sg:pub.10.1007/s12369-014-0230-6
84 rdf:type schema:MonetaryGrant
85 sg:journal.1049411 schema:issn 1875-4791
86 1875-4805
87 schema:name International Journal of Social Robotics
88 rdf:type schema:Periodical
89 sg:person.01130611557.59 schema:affiliation https://www.grid.ac/institutes/grid.4858.1
90 schema:familyName Neerincx
91 schema:givenName M. A.
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01130611557.59
93 rdf:type schema:Person
94 sg:person.011760117331.23 schema:affiliation https://www.grid.ac/institutes/grid.4858.1
95 schema:familyName Looije
96 schema:givenName R.
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011760117331.23
98 rdf:type schema:Person
99 sg:person.012431210625.74 schema:affiliation https://www.grid.ac/institutes/grid.4858.1
100 schema:familyName Cohen
101 schema:givenName I.
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012431210625.74
103 rdf:type schema:Person
104 sg:pub.10.1007/978-3-540-73216-7_40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039489070
105 https://doi.org/10.1007/978-3-540-73216-7_40
106 rdf:type schema:CreativeWork
107 sg:pub.10.1007/978-3-642-25504-5_7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043307265
108 https://doi.org/10.1007/978-3-642-25504-5_7
109 rdf:type schema:CreativeWork
110 sg:pub.10.1007/s00779-009-0263-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047998061
111 https://doi.org/10.1007/s00779-009-0263-2
112 rdf:type schema:CreativeWork
113 sg:pub.10.1007/s12369-009-0024-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005554475
114 https://doi.org/10.1007/s12369-009-0024-4
115 rdf:type schema:CreativeWork
116 sg:pub.10.1007/s12369-013-0200-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044629392
117 https://doi.org/10.1007/s12369-013-0200-4
118 rdf:type schema:CreativeWork
119 sg:pub.10.1007/s12369-013-0206-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1050427988
120 https://doi.org/10.1007/s12369-013-0206-y
121 rdf:type schema:CreativeWork
122 sg:pub.10.1007/s12369-013-0211-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043426075
123 https://doi.org/10.1007/s12369-013-0211-1
124 rdf:type schema:CreativeWork
125 sg:pub.10.1023/b:jonb.0000023655.25550.be schema:sameAs https://app.dimensions.ai/details/publication/pub.1035972085
126 https://doi.org/10.1023/b:jonb.0000023655.25550.be
127 rdf:type schema:CreativeWork
128 sg:pub.10.3758/bf03207704 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022567151
129 https://doi.org/10.3758/bf03207704
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1002/cav.29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002040857
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/j.ijhcs.2007.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023296479
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/j.paid.2003.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017117655
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/j.tics.2007.06.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042691894
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/j.yebeh.2009.01.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046476812
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/s0921-8890(02)00373-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006994182
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1073/pnas.0707769104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002355489
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1080/00221325.1994.9914760 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006796575
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1080/026999399379140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011113910
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1080/026999399379168 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015666865
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1080/09540090310001658793 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042755304
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1080/14616730802461409 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041937490
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1098/rstb.2009.0190 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041881194
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1109/acii.2009.5349582 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095672812
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1109/roman.2010.5598649 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093219477
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1109/tmm.2009.2021722 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061697638
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1145/1877826.1877837 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030031342
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1177/1084822308325695 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029376334
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1177/154193120905300205 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064050668
168 rdf:type schema:CreativeWork
169 https://doi.org/10.14198/jopha.2008.2.2.03 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067201657
170 rdf:type schema:CreativeWork
171 https://www.grid.ac/institutes/grid.4858.1 schema:alternateName Netherlands Organisation for Applied Scientific Research
172 schema:name Interactive Intelligence, Delft University of Technology, Delft, The Netherlands
173 TNO, P.O. Box 23, 3769 ZG, Soesterberg, The Netherlands
174 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...