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Supporting Negotiation Behavior with Haptics-Enabled Human-Computer Interfaces.

S O Oguz, A Kucukyilmaz, Tevfik Metin Sezgin

    IEEE Transactions on Haptics
    |March 11, 2016
    PubMed
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    This study enhances human-computer interaction by incorporating human negotiation behaviors into computer opponents. Haptic cues significantly improve the recognition of these machine-displayed behaviors, balancing user effort and interaction utility.

    Area of Science:

    • Human-Computer Interaction
    • Computational Social Science
    • Affective Computing

    Background:

    • Intuitive human-computer interaction (HCI) is a key research area.
    • Employing human-like qualities in computers can enhance interaction.
    • Human negotiation scenarios offer rich behavioral patterns for HCI.

    Purpose of the Study:

    • To enrich HCI by integrating human negotiation behaviors into computer systems.
    • To investigate the effectiveness of haptic and audio-visual cues in conveying these behaviors.
    • To analyze the game-theoretical aspects of negotiation strategies in HCI.

    Main Methods:

    • Introduction of a two-party negotiation game for studying computer-displayed behaviors.
    • Real-time continuous negotiation scenario based on game theory and negotiation literature.

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  • User study involving human participants interacting with computer opponents exhibiting concession, competition, and negotiation.

    • Main Results:

    • Human negotiation behaviors can be successfully incorporated into HCI.
    • Haptic cues significantly increase the accuracy of human recognition of machine-displayed behaviors.
    • Negotiation strategies like tit-for-tat can maximize combined utility and balance user effort.

    Conclusions:

    • Haptic feedback is crucial for effective communication of negotiation behaviors in HCI.
    • Integrating human-like negotiation strategies can lead to more balanced and efficient human-computer interactions.
    • Game-theoretical principles can optimize outcomes in human-computer negotiation scenarios.