How Does Exposure to Changing Opinions or Reaffirmation Opinions Influence the Thoughts of Observers and Their Trust in Robot Discussions?
This study investigated how exposure to changing or reaffirmation opinions in robot conversations influences the impressions of observers and their trust in media. Even though the provided conversational contents include the same amount of information, their order, positive/negative attitudes, and d...
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| Published in | Applied sciences Vol. 13; no. 1; p. 585 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
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MDPI AG
01.01.2023
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| Online Access | Get full text |
| ISSN | 2076-3417 2076-3417 |
| DOI | 10.3390/app13010585 |
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| Abstract | This study investigated how exposure to changing or reaffirmation opinions in robot conversations influences the impressions of observers and their trust in media. Even though the provided conversational contents include the same amount of information, their order, positive/negative attitudes, and discussion styles change their perceived impressions. We conducted a web survey using video stimuli, where two robots discussed Japan’s first state of emergency response to the COVID-19 pandemic. We prepared two patterns of opinion changes to a different side (positive–negative and negative–positive) and two patterns of opinion reaffirmation (positive–positive and negative–negative) with identical information contents; we only modified their order. The experimental results showed that exposure to opinion changes from the positive side (i.e., negative–positive) or positive opinion reaffirmation (positive–positive) effectively provides positive and fair impressions. Exposure to an opinion that became negative (i.e., positive–negative) effectively provided negative and fair impressions, although negative opinion reaffirmation (negative–negative) led to significantly less trust in media. |
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| AbstractList | This study investigated how exposure to changing or reaffirmation opinions in robot conversations influences the impressions of observers and their trust in media. Even though the provided conversational contents include the same amount of information, their order, positive/negative attitudes, and discussion styles change their perceived impressions. We conducted a web survey using video stimuli, where two robots discussed Japan’s first state of emergency response to the COVID-19 pandemic. We prepared two patterns of opinion changes to a different side (positive–negative and negative–positive) and two patterns of opinion reaffirmation (positive–positive and negative–negative) with identical information contents; we only modified their order. The experimental results showed that exposure to opinion changes from the positive side (i.e., negative–positive) or positive opinion reaffirmation (positive–positive) effectively provides positive and fair impressions. Exposure to an opinion that became negative (i.e., positive–negative) effectively provided negative and fair impressions, although negative opinion reaffirmation (negative–negative) led to significantly less trust in media. Featured ApplicationInvestigating the effects of observing discussions between social robots. A potential application is the design of social robot behaviors in scenarios where robots provide information via conversations.AbstractThis study investigated how exposure to changing or reaffirmation opinions in robot conversations influences the impressions of observers and their trust in media. Even though the provided conversational contents include the same amount of information, their order, positive/negative attitudes, and discussion styles change their perceived impressions. We conducted a web survey using video stimuli, where two robots discussed Japan’s first state of emergency response to the COVID-19 pandemic. We prepared two patterns of opinion changes to a different side (positive–negative and negative–positive) and two patterns of opinion reaffirmation (positive–positive and negative–negative) with identical information contents; we only modified their order. The experimental results showed that exposure to opinion changes from the positive side (i.e., negative–positive) or positive opinion reaffirmation (positive–positive) effectively provides positive and fair impressions. Exposure to an opinion that became negative (i.e., positive–negative) effectively provided negative and fair impressions, although negative opinion reaffirmation (negative–negative) led to significantly less trust in media. |
| Author | Iio, Takamasa Kimoto, Mitsuhiko Shimohara, Katsunori Shiomi, Masahiro Itahara, Hiroki |
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| Cites_doi | 10.1371/journal.pone.0240622 10.1037/h0041716 10.1109/LRA.2020.3007482 10.1037/h0025717 10.1109/IROS.2009.5354116 10.1145/3319502.3374839 10.1016/j.neulet.2010.02.025 10.1109/LRA.2021.3102326 10.1007/s12369-009-0015-5 10.1037/0021-9010.74.1.136 10.1109/JSEN.2021.3101593 10.1177/1948550618771003 10.1177/1948550620969279 10.1177/0047287507312405 10.1126/scirobotics.aat7111 10.1037/h0055756 10.1007/978-3-030-05204-1_21 10.1109/TAMD.2011.2178846 10.1016/j.jesp.2009.03.009 10.1037/0022-3514.78.5.943 10.1037/a0027033 10.1145/3171221.3171282 10.3389/frobt.2021.612750 10.1016/j.chb.2020.106620 10.1109/MRA.2020.3044906 10.20965/jaciii.2020.p0404 10.1016/j.jesp.2010.11.005 10.1016/j.chb.2013.01.047 10.1145/1753326.1753688 10.1080/00224545.1977.9923987 10.3389/frobt.2020.590306 10.1016/j.chb.2021.107041 10.1097/01.wnn.0000117861.44205.31 10.1108/JSM-01-2018-0045 10.3389/fpsyg.2022.920844 10.1007/s12369-013-0205-z |
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| Copyright | 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| SubjectTerms | Between-subjects design Coronaviruses COVID-19 human-robot interaction multiple robots Pandemics Robots State of emergency |
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| Title | How Does Exposure to Changing Opinions or Reaffirmation Opinions Influence the Thoughts of Observers and Their Trust in Robot Discussions? |
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