research-article

Social visualization and negotiation: effects of feedback configuration and status

Authors:

Clifford NassAuthors Info & Claims

CSCW '12: Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work

Pages 1081 - 1090

https://doi.org/10.1145/2145204.2145365

Published: 11 February 2012 Publication History

Abstract

We describe a social visualization system that monitors the vocal arousal levels of the participants in a simulated two-party employment negotiation. In a 3x2 factorial experiment (N = 84), we manipulate two variables of interest for social visualization systems: the feedback configuration of the system's display (participants receive self feedback vs. partner feedback vs. no feedback) and the status of the interactants (high vs. low). Receiving feedback about one's own arousal level has negative consequences for performance in and feelings about the negotiation. Receiving feedback about one's partner's arousal level interacts with status: high-status individuals benefit from the visualization, while low-status individuals do not.

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Cited By

Lin YLiu YLee C(2023)An Interaction-process-guided Framework for Small-group Performance PredictionACM Transactions on Multimedia Computing, Communications, and Applications10.1145/355876819:2(1-25)Online publication date: 6-Feb-2023
https://dl.acm.org/doi/10.1145/3558768
Samrose SMcDuff DSim RSuh JRowan KHernandez JRintel SMoynihan KCzerwinski MKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)MeetingCoach: An Intelligent Dashboard for Supporting Effective & Inclusive MeetingsProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445615(1-13)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445615
Law ESoleimani SWatkins DBarwick J(2020)Automatic voice emotion recognition of child-parent conversations in natural settingsBehaviour & Information Technology10.1080/0144929X.2020.174168440:11(1072-1089)Online publication date: 17-Mar-2020
https://doi.org/10.1080/0144929X.2020.1741684
Show More Cited By

Index Terms

Social visualization and negotiation: effects of feedback configuration and status
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work
2. Social and professional topics
  1. Professional topics
    1. Computing and business
      1. Computer supported cooperative work

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Published In

cover image ACM Conferences

CSCW '12: Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work

February 2012

1460 pages

ISBN:9781450310864

DOI:10.1145/2145204

General Chairs:
Steven Poltrock
Boeing Research & Technology
,
Carla Simone
University of Milano-Biccoca
,
Program Chairs:
Jonathan Grudin
Microsoft Research
,
Gloria Mark
University of California, Irvine
,
John Riedl
University of Minnesota

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 11 February 2012

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CSCW '12

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CSCW '12: Computer Supported Cooperative Work

February 11 - 15, 2012

Washington, Seattle, USA

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CSCW '12 Paper Acceptance Rate 164 of 415 submissions, 40%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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October 18 - 22, 2025

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Cited By

Lin YLiu YLee C(2023)An Interaction-process-guided Framework for Small-group Performance PredictionACM Transactions on Multimedia Computing, Communications, and Applications10.1145/355876819:2(1-25)Online publication date: 6-Feb-2023
https://dl.acm.org/doi/10.1145/3558768
Samrose SMcDuff DSim RSuh JRowan KHernandez JRintel SMoynihan KCzerwinski MKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)MeetingCoach: An Intelligent Dashboard for Supporting Effective & Inclusive MeetingsProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445615(1-13)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445615
Law ESoleimani SWatkins DBarwick J(2020)Automatic voice emotion recognition of child-parent conversations in natural settingsBehaviour & Information Technology10.1080/0144929X.2020.174168440:11(1072-1089)Online publication date: 17-Mar-2020
https://doi.org/10.1080/0144929X.2020.1741684
Soleimani SLaw EMival OSmyth MDalsgaard P(2017)What Can Self-Reports and Acoustic Data Analyses on Emotions Tell Us?Proceedings of the 2017 Conference on Designing Interactive Systems10.1145/3064663.3064770(489-501)Online publication date: 10-Jun-2017
https://dl.acm.org/doi/10.1145/3064663.3064770
Jung M(2016)Coupling Interactions and Performance: Predicting Team Performance from Thin Slices of ConflictACM Transactions on Computer-Human Interaction10.1145/275376723:3(1-32)Online publication date: 14-Jun-2016
https://dl.acm.org/doi/10.1145/2753767
Bone DLee CNarayanan S(2014)Robust Unsupervised Arousal Rating:A Rule-Based Framework withKnowledge-Inspired Vocal FeaturesIEEE Transactions on Affective Computing10.1109/TAFFC.2014.23263935:2(201-213)Online publication date: 1-Apr-2014
https://doi.org/10.1109/TAFFC.2014.2326393
Tausczik YPennebaker JMackay WBrewster SBødker S(2013)Improving teamwork using real-time language feedbackProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/2470654.2470720(459-468)Online publication date: 27-Apr-2013
https://dl.acm.org/doi/10.1145/2470654.2470720

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