Human, Hybrid, or Machine? Exploring the Trustworthiness of Voice-Based Assistants
This study investigates how people assess the trustworthiness of perceptually hybrid communicative technologies such as voice-based assistants (VBAs). VBAs are often perceived as hybrids between human and machine, which challenges previously distinct definitions of human and machine trustworthiness....
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Format: | Article |
Language: | English |
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Communication and Social Robotics Labs
2022-04-01
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Series: | Human-Machine Communication Journal |
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Online Access: | https://stars.library.ucf.edu/hmc/vol4/iss1/5/ |
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author | Lisa Weidmüller |
author_facet | Lisa Weidmüller |
author_sort | Lisa Weidmüller |
collection | DOAJ |
description | This study investigates how people assess the trustworthiness of perceptually hybrid communicative technologies such as voice-based assistants (VBAs). VBAs are often perceived as hybrids between human and machine, which challenges previously distinct definitions of human and machine trustworthiness. Thus, this study explores how the two trustworthiness models can be combined in a hybrid trustworthiness model, which model (human, hybrid, or machine) is most applicable to examine VBA trustworthiness, and whether this differs between respondents with different levels of prior experience with VBAs. Results from two surveys revealed that, overall, the human model exhibited the best model fit; however, the hybrid model also showed acceptable model fit as prior experience increased. Findings are discussed considering the ongoing discourse to establish adequate measures for HMC research. |
first_indexed | 2024-12-12T22:05:55Z |
format | Article |
id | doaj.art-7df3dc1ecfa6494b8dafddd0931c291c |
institution | Directory Open Access Journal |
issn | 2638-602X 2638-6038 |
language | English |
last_indexed | 2024-12-12T22:05:55Z |
publishDate | 2022-04-01 |
publisher | Communication and Social Robotics Labs |
record_format | Article |
series | Human-Machine Communication Journal |
spelling | doaj.art-7df3dc1ecfa6494b8dafddd0931c291c2022-12-22T00:10:23ZengCommunication and Social Robotics LabsHuman-Machine Communication Journal2638-602X2638-60382022-04-0148511010.30658/hmc.4.5Human, Hybrid, or Machine? Exploring the Trustworthiness of Voice-Based AssistantsLisa Weidmüller0https://orcid.org/0000-0003-1680-9122Technical University DresdenThis study investigates how people assess the trustworthiness of perceptually hybrid communicative technologies such as voice-based assistants (VBAs). VBAs are often perceived as hybrids between human and machine, which challenges previously distinct definitions of human and machine trustworthiness. Thus, this study explores how the two trustworthiness models can be combined in a hybrid trustworthiness model, which model (human, hybrid, or machine) is most applicable to examine VBA trustworthiness, and whether this differs between respondents with different levels of prior experience with VBAs. Results from two surveys revealed that, overall, the human model exhibited the best model fit; however, the hybrid model also showed acceptable model fit as prior experience increased. Findings are discussed considering the ongoing discourse to establish adequate measures for HMC research.https://stars.library.ucf.edu/hmc/vol4/iss1/5/voice-based assistanttrustworthinesstrusthybridscalesurveyprior experience |
spellingShingle | Lisa Weidmüller Human, Hybrid, or Machine? Exploring the Trustworthiness of Voice-Based Assistants Human-Machine Communication Journal voice-based assistant trustworthiness trust hybrid scale survey prior experience |
title | Human, Hybrid, or Machine? Exploring the Trustworthiness of Voice-Based Assistants |
title_full | Human, Hybrid, or Machine? Exploring the Trustworthiness of Voice-Based Assistants |
title_fullStr | Human, Hybrid, or Machine? Exploring the Trustworthiness of Voice-Based Assistants |
title_full_unstemmed | Human, Hybrid, or Machine? Exploring the Trustworthiness of Voice-Based Assistants |
title_short | Human, Hybrid, or Machine? Exploring the Trustworthiness of Voice-Based Assistants |
title_sort | human hybrid or machine exploring the trustworthiness of voice based assistants |
topic | voice-based assistant trustworthiness trust hybrid scale survey prior experience |
url | https://stars.library.ucf.edu/hmc/vol4/iss1/5/ |
work_keys_str_mv | AT lisaweidmuller humanhybridormachineexploringthetrustworthinessofvoicebasedassistants |