Affiliation:
1. Technical University Dresden
Abstract
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.
Publisher
Nicholson School of Communication, UCF
Subject
Pulmonary and Respiratory Medicine,Pediatrics, Perinatology, and Child Health
Reference147 articles.
1. Akter, S., D’Ambra, J., & Ray, P. (2011). Trustworthiness in mHealth information services:
2. An assessment of a hierarchical model with mediating and moderating effects using
3. partial least squares (PLS). Journal of the American Society for Information Science and
4. Technology, 62(1), 100–116. https://doi.org/10.1002/asi.21442
5. Ammari, T., Kaye, J., Tsai, J. Y., & Bentley, F. (2019). Music, search, and IoT: How people
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