2022
DOI: 10.2139/ssrn.4113811
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“It's Not Paul, It's a Robot”: The Impact of Linguistic Framing and the Evolution of Trust and Distrust in a Collaborative Robot During a Human-Robot Interaction

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Cited by 2 publications
(10 citation statements)
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“…Whereas studies which combined anthropomorphic framing and appearance in industrial HRI found negative effects ( Onnasch and Roesler, 2019 ; Roesler et al, 2020 ), another study which investigated anthropomorphic framing without an exposure to an industrial robot found a positive effect on trust ( Kopp et al, 2022 ). However, this was only the case if the anthropomorphic framing was combined with a cooperativeness framing ( Kopp et al, 2022 ). As participants in this study were exposed to an actual robot and no additional framing in regard to the cooperativeness was given, it might be assumed that the possible mismatch of appearance, context, and framing reduces trust ( Goetz et al, 2003 ; Roesler et al, 2022b ).…”
Section: Introductionmentioning
confidence: 99%
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“…Whereas studies which combined anthropomorphic framing and appearance in industrial HRI found negative effects ( Onnasch and Roesler, 2019 ; Roesler et al, 2020 ), another study which investigated anthropomorphic framing without an exposure to an industrial robot found a positive effect on trust ( Kopp et al, 2022 ). However, this was only the case if the anthropomorphic framing was combined with a cooperativeness framing ( Kopp et al, 2022 ). As participants in this study were exposed to an actual robot and no additional framing in regard to the cooperativeness was given, it might be assumed that the possible mismatch of appearance, context, and framing reduces trust ( Goetz et al, 2003 ; Roesler et al, 2022b ).…”
Section: Introductionmentioning
confidence: 99%
“…For instance, for trust in automation, ( Lee and See, 2004 ), performance, purpose, and process are described as separate dimensions of trust. Even though a transferability of these dimensions to human-robot trust is assumed ( Lewis et al, 2018 ), recent research focused on using single-items of trust (e.g., Salem et al, 2015 ; Sarkar et al, 2017 ; Roesler et al, 2020 ; Onnasch and Hildebrandt, 2021 ) or uni-dimensional trust questionnaires (e.g., Sanders et al, 2019 ; Kopp et al, 2022 ). These approaches are not able to capture different dimensions, and thus cannot contribute much to a more detailed understanding of the underlying determinants of trust and trust dynamics in interaction with robots.…”
Section: Introductionmentioning
confidence: 99%
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