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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Main Author: Lisa Weidmüller
Format: Article
Language:English
Published: Communication and Social Robotics Labs 2022-04-01
Series:Human-Machine Communication Journal
Subjects:
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.
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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