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Trust: social bridge between humans and technology
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SUBMIT A PAPER
Special Issue in Computers in Human Behavior: call for papers
Deadline 30 October 2023.
A substantial part of our everyday life consists in relying on other people or technologies to go beyond one's limits, overcome obstacles, solve problems, achieve goals that one would not be able to handle alone. Trust has gained relevance for understanding the human interaction with various kinds of technical systems (e.g., AI-based text generator, social robot, automated driving). It is an open question how theories, methods, and findings from the area of interpersonal trust can be transferred to the situation in which technology becomes a trustee. Some suggest that we rely only on the functionality, utility, and accuracy of non-human others. Conversely, technologies are increasingly social, in the sense they have human-like characteristics (as in social robotics and artificial intelligence) or enable human-to-human interaction (as in telecommunication and telepresence).
The purpose of this special issue is to bring together interdisciplinary researchers to explore the mechanisms and functions of trust in people and technologies and to deepen our understanding of the similarities and differences of human-to-human or human-technology trust, and the downstream effects they may have on social interaction in everyday life.
We welcome contributions from engineering, cognitive, organizational, computational, clinical, developmental, social psychology and neuroscience, HCI, computer science, haptics, robotics and other areas or disciplines. Key themes are:
- Definitions and underpinnings of trust: when do we trust another party for their functional or personal characteristics?
- Dimensionality, structure and subfacets of trust
- Neural, physiological, and behavioral correlates of trust
- Trust in technologies and/or other people in the context of social exchanges
- Individual differences in trusting technologies and/or other people (e.g., socio demographic variables, age, culture, user dispositions, expertise, clinical conditions)
- Design principles and use cases of social technologies that we can trust
- Measurement of trust
- Relation of trust to behavioral outcomes, its mediators and moderators
- (Cognitive) modelling of trust
- Transparency of technology, XAI and trust