Supporting Negotiation Behavior with Haptics-Enabled Human-Computer Interfaces.
Identifieur interne : 000D38 ( PubMed/Curation ); précédent : 000D37; suivant : 000D39Supporting Negotiation Behavior with Haptics-Enabled Human-Computer Interfaces.
Auteurs : S O Oguz ; A. Kucukyilmaz ; Tevfik Metin Sezgin ; C. BasdoganSource :
- IEEE transactions on haptics [ 1939-1412 ] ; 2012.
Abstract
An active research goal for human-computer interaction is to allow humans to communicate with computers in an intuitive and natural fashion, especially in real-life interaction scenarios. One approach that has been advocated to achieve this has been to build computer systems with human-like qualities and capabilities. In this paper, we present insight on how human-computer interaction can be enriched by employing the computers with behavioral patterns that naturally appear in human-human negotiation scenarios. For this purpose, we introduce a two-party negotiation game specifically built for studying the effectiveness of haptic and audio-visual cues in conveying negotiation related behaviors. The game is centered around a real-time continuous two-party negotiation scenario based on the existing game-theory and negotiation literature. During the game, humans are confronted with a computer opponent, which can display different behaviors, such as concession, competition, and negotiation. Through a user study, we show that the behaviors that are associated with human negotiation can be incorporated into human-computer interaction, and the addition of haptic cues provides a statistically significant increase in the human-recognition accuracy of machine-displayed behaviors. In addition to aspects of conveying these negotiation-related behaviors, we also focus on and report game-theoretical aspects of the overall interaction experience. In particular, we show that, as reported in the game-theory literature, certain negotiation strategies such as tit-for-tat may generate maximum combined utility for the negotiating parties, providing an excellent balance between the energy spent by the user and the combined utility of the negotiating parties.
DOI: 10.1109/TOH.2012.37
PubMed: 26964113
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Kucukyilmaz</name></author><author><name sortKey="Sezgin, Tevfik Metin" sort="Sezgin, Tevfik Metin" uniqKey="Sezgin T" first="Tevfik Metin" last="Sezgin">Tevfik Metin Sezgin</name></author><author><name sortKey="Basdogan, C" sort="Basdogan, C" uniqKey="Basdogan C" first="C" last="Basdogan">C. Basdogan</name></author></analytic><series><title level="j">IEEE transactions on haptics</title><idno type="ISSN">1939-1412</idno><imprint><date when="2012" type="published">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">An active research goal for human-computer interaction is to allow humans to communicate with computers in an intuitive and natural fashion, especially in real-life interaction scenarios. One approach that has been advocated to achieve this has been to build computer systems with human-like qualities and capabilities. In this paper, we present insight on how human-computer interaction can be enriched by employing the computers with behavioral patterns that naturally appear in human-human negotiation scenarios. For this purpose, we introduce a two-party negotiation game specifically built for studying the effectiveness of haptic and audio-visual cues in conveying negotiation related behaviors. The game is centered around a real-time continuous two-party negotiation scenario based on the existing game-theory and negotiation literature. During the game, humans are confronted with a computer opponent, which can display different behaviors, such as concession, competition, and negotiation. Through a user study, we show that the behaviors that are associated with human negotiation can be incorporated into human-computer interaction, and the addition of haptic cues provides a statistically significant increase in the human-recognition accuracy of machine-displayed behaviors. In addition to aspects of conveying these negotiation-related behaviors, we also focus on and report game-theoretical aspects of the overall interaction experience. In particular, we show that, as reported in the game-theory literature, certain negotiation strategies such as tit-for-tat may generate maximum combined utility for the negotiating parties, providing an excellent balance between the energy spent by the user and the combined utility of the negotiating parties.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="PubMed-not-MEDLINE"><PMID Version="1">26964113</PMID><DateCreated><Year>2016</Year><Month>03</Month><Day>11</Day></DateCreated><DateCompleted><Year>2016</Year><Month>03</Month><Day>12</Day></DateCompleted><Article PubModel="Print"><Journal><ISSN IssnType="Print">1939-1412</ISSN><JournalIssue CitedMedium="Print"><Volume>5</Volume><Issue>3</Issue><PubDate><Year>2012</Year></PubDate></JournalIssue><Title>IEEE transactions on haptics</Title><ISOAbbreviation>IEEE Trans Haptics</ISOAbbreviation></Journal><ArticleTitle>Supporting Negotiation Behavior with Haptics-Enabled Human-Computer Interfaces.</ArticleTitle><Pagination><MedlinePgn>274-84</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1109/TOH.2012.37</ELocationID><Abstract><AbstractText>An active research goal for human-computer interaction is to allow humans to communicate with computers in an intuitive and natural fashion, especially in real-life interaction scenarios. One approach that has been advocated to achieve this has been to build computer systems with human-like qualities and capabilities. In this paper, we present insight on how human-computer interaction can be enriched by employing the computers with behavioral patterns that naturally appear in human-human negotiation scenarios. For this purpose, we introduce a two-party negotiation game specifically built for studying the effectiveness of haptic and audio-visual cues in conveying negotiation related behaviors. The game is centered around a real-time continuous two-party negotiation scenario based on the existing game-theory and negotiation literature. During the game, humans are confronted with a computer opponent, which can display different behaviors, such as concession, competition, and negotiation. Through a user study, we show that the behaviors that are associated with human negotiation can be incorporated into human-computer interaction, and the addition of haptic cues provides a statistically significant increase in the human-recognition accuracy of machine-displayed behaviors. In addition to aspects of conveying these negotiation-related behaviors, we also focus on and report game-theoretical aspects of the overall interaction experience. 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