A Cross-Cultural Study of Playing Simple Economic Games Online with Humans and Virtual Humans View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

Elnaz Nouri , David Traum

ABSTRACT

We compare the simple online economic interactions between a human and a multimodal communication agent (virtual human) to the findings of similar simple interactions with other humans and those that were run in the laboratory. We developed protocols and dialogue capabilities to support the multi modal agent in playing two well-studied economic games (Ultimatum Game, Dictator Game). We analyze the interactions based on the outcome and self-reported values of possible factors involved in the decision making. We compare these parameters across two games, and the two cultures of US and India. Our results show that humans’ interaction with a virtual human is similar to when they are playing with another human and the majority of the people choose to allocate about half of the stakes to the virtual human, just as they would with another human. There are, however, some significant differences between offer distributions and value reports for different conditions (game, opponent, and culture of participant). More... »

PAGES

266-275

Book

TITLE

Human-Computer Interaction. Applications and Services

ISBN

978-3-642-39261-0
978-3-642-39262-7

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-39262-7_30

DOI

http://dx.doi.org/10.1007/978-3-642-39262-7_30

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1018729210


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/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "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"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "familyName": "Nouri", 
        "givenName": "Elnaz", 
        "id": "sg:person.014772306733.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014772306733.76"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Traum", 
        "givenName": "David", 
        "id": "sg:person.013767173315.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013767173315.17"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2013", 
    "datePublishedReg": "2013-01-01", 
    "description": "We compare the simple online economic interactions between a human and a multimodal communication agent (virtual human) to the findings of similar simple interactions with other humans and those that were run in the laboratory. We developed protocols and dialogue capabilities to support the multi modal agent in playing two well-studied economic games (Ultimatum Game, Dictator Game). We analyze the interactions based on the outcome and self-reported values of possible factors involved in the decision making. We compare these parameters across two games, and the two cultures of US and India. Our results show that humans\u2019 interaction with a virtual human is similar to when they are playing with another human and the majority of the people choose to allocate about half of the stakes to the virtual human, just as they would with another human. There are, however, some significant differences between offer distributions and value reports for different conditions (game, opponent, and culture of participant).", 
    "editor": [
      {
        "familyName": "Kurosu", 
        "givenName": "Masaaki", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-39262-7_30", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-39261-0", 
        "978-3-642-39262-7"
      ], 
      "name": "Human-Computer Interaction. Applications and Services", 
      "type": "Book"
    }, 
    "keywords": [
      "virtual humans", 
      "dialogue capabilities", 
      "communication agents", 
      "cross-cultural study", 
      "simple interactions", 
      "economic games", 
      "self-reported values", 
      "game", 
      "value reports", 
      "capability", 
      "Online", 
      "humans", 
      "protocol", 
      "decisions", 
      "people", 
      "possible factors", 
      "offer distribution", 
      "findings", 
      "interaction", 
      "outcomes", 
      "significant differences", 
      "differences", 
      "economic interactions", 
      "different conditions", 
      "agents", 
      "stake", 
      "results", 
      "parameters", 
      "study", 
      "factors", 
      "half", 
      "majority", 
      "uses", 
      "report", 
      "laboratory", 
      "culture", 
      "conditions", 
      "distribution", 
      "values", 
      "India", 
      "simple online economic interactions", 
      "online economic interactions", 
      "multimodal communication agent", 
      "similar simple interactions", 
      "multi modal agent", 
      "modal agent", 
      "cultures of US", 
      "Simple Economic Games Online", 
      "Economic Games Online", 
      "Games Online"
    ], 
    "name": "A Cross-Cultural Study of Playing Simple Economic Games Online with Humans and Virtual Humans", 
    "pagination": "266-275", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1018729210"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-39262-7_30"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-39262-7_30", 
      "https://app.dimensions.ai/details/publication/pub.1018729210"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2021-11-01T19:01", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/chapter/chapter_442.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-642-39262-7_30"
  }
]
 

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.10.1007/978-3-642-39262-7_30'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-39262-7_30'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-39262-7_30'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-39262-7_30'


 

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

120 TRIPLES      23 PREDICATES      78 URIs      69 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-39262-7_30 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 anzsrc-for:17
4 anzsrc-for:1701
5 schema:author N0611f0be4d7a450094b2bf6d6955b8d6
6 schema:datePublished 2013
7 schema:datePublishedReg 2013-01-01
8 schema:description We compare the simple online economic interactions between a human and a multimodal communication agent (virtual human) to the findings of similar simple interactions with other humans and those that were run in the laboratory. We developed protocols and dialogue capabilities to support the multi modal agent in playing two well-studied economic games (Ultimatum Game, Dictator Game). We analyze the interactions based on the outcome and self-reported values of possible factors involved in the decision making. We compare these parameters across two games, and the two cultures of US and India. Our results show that humans’ interaction with a virtual human is similar to when they are playing with another human and the majority of the people choose to allocate about half of the stakes to the virtual human, just as they would with another human. There are, however, some significant differences between offer distributions and value reports for different conditions (game, opponent, and culture of participant).
9 schema:editor N3eb4cdbbcae04475b2abe4724f9e5b4e
10 schema:genre chapter
11 schema:inLanguage en
12 schema:isAccessibleForFree false
13 schema:isPartOf N99253ba476a94a5b98db9e5b32851a8c
14 schema:keywords Economic Games Online
15 Games Online
16 India
17 Online
18 Simple Economic Games Online
19 agents
20 capability
21 communication agents
22 conditions
23 cross-cultural study
24 culture
25 cultures of US
26 decisions
27 dialogue capabilities
28 differences
29 different conditions
30 distribution
31 economic games
32 economic interactions
33 factors
34 findings
35 game
36 half
37 humans
38 interaction
39 laboratory
40 majority
41 modal agent
42 multi modal agent
43 multimodal communication agent
44 offer distribution
45 online economic interactions
46 outcomes
47 parameters
48 people
49 possible factors
50 protocol
51 report
52 results
53 self-reported values
54 significant differences
55 similar simple interactions
56 simple interactions
57 simple online economic interactions
58 stake
59 study
60 uses
61 value reports
62 values
63 virtual humans
64 schema:name A Cross-Cultural Study of Playing Simple Economic Games Online with Humans and Virtual Humans
65 schema:pagination 266-275
66 schema:productId N1f11a84fb9424e8d9ac85e79a44b367e
67 N5d2d9947da42448aaaf382a4a979dbac
68 schema:publisher Ncd4751affb994404982d0cb33347fe0c
69 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018729210
70 https://doi.org/10.1007/978-3-642-39262-7_30
71 schema:sdDatePublished 2021-11-01T19:01
72 schema:sdLicense https://scigraph.springernature.com/explorer/license/
73 schema:sdPublisher N3696204289db4af08aaa29688fb9a700
74 schema:url https://doi.org/10.1007/978-3-642-39262-7_30
75 sgo:license sg:explorer/license/
76 sgo:sdDataset chapters
77 rdf:type schema:Chapter
78 N0611f0be4d7a450094b2bf6d6955b8d6 rdf:first sg:person.014772306733.76
79 rdf:rest Ne8862c483164447d8ff409ded4b72c0d
80 N1f11a84fb9424e8d9ac85e79a44b367e schema:name doi
81 schema:value 10.1007/978-3-642-39262-7_30
82 rdf:type schema:PropertyValue
83 N3696204289db4af08aaa29688fb9a700 schema:name Springer Nature - SN SciGraph project
84 rdf:type schema:Organization
85 N3eb4cdbbcae04475b2abe4724f9e5b4e rdf:first Ne576f23114164c3680bbd7e300b762c3
86 rdf:rest rdf:nil
87 N5d2d9947da42448aaaf382a4a979dbac schema:name dimensions_id
88 schema:value pub.1018729210
89 rdf:type schema:PropertyValue
90 N99253ba476a94a5b98db9e5b32851a8c schema:isbn 978-3-642-39261-0
91 978-3-642-39262-7
92 schema:name Human-Computer Interaction. Applications and Services
93 rdf:type schema:Book
94 Ncd4751affb994404982d0cb33347fe0c schema:name Springer Nature
95 rdf:type schema:Organisation
96 Ne576f23114164c3680bbd7e300b762c3 schema:familyName Kurosu
97 schema:givenName Masaaki
98 rdf:type schema:Person
99 Ne8862c483164447d8ff409ded4b72c0d rdf:first sg:person.013767173315.17
100 rdf:rest rdf:nil
101 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
102 schema:name Information and Computing Sciences
103 rdf:type schema:DefinedTerm
104 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
105 schema:name Artificial Intelligence and Image Processing
106 rdf:type schema:DefinedTerm
107 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
108 schema:name Psychology and Cognitive Sciences
109 rdf:type schema:DefinedTerm
110 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
111 schema:name Psychology
112 rdf:type schema:DefinedTerm
113 sg:person.013767173315.17 schema:familyName Traum
114 schema:givenName David
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013767173315.17
116 rdf:type schema:Person
117 sg:person.014772306733.76 schema:familyName Nouri
118 schema:givenName Elnaz
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014772306733.76
120 rdf:type schema:Person
 




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


...