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Abstract Prior research into the conceptual underpinnings of the public's institutional trust in zoos and aquariums has suggested a range of ethical dimensions that set these types of cultural institutions apart from others in the museum sector. As the recognized holders, care‐takers, and nurturers of wild animals, zoos and aquariums are sustained at least in part by the public's perception that these activities are legitimate pursuits and essential to the long‐term conservation of the natural world. This paper builds on recent research that identified the ethical dimensions of trust in zoos and aquariums and assessed their distribution among the U.S. public by analyzing survey responses with respect to the importance of trust criteria. We hypothesized that distinct clusters of individuals, as defined by their response to trust criteria items, would emerge and that these clusters would prioritize different dimensions in their trust of zoos and aquariums. Usingk‐means clustering, we identified four relevant clusters of individuals on seven dimensions of institutional trust in zoos and aquariums. Based on these clusters, we suggest strategies for addressing what may be necessary for zoos and aquariums to claim authority as agents promoting conservation behaviors in society.
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Measuring Gains and Losses in Human-Robot Trust: Evidence for Differentiable Components of Trust
Human-robot trust is crucial to successful human-robot interaction. We conducted a study with 798 participants distributed across 32 conditions using four dimensions of human-robot trust (reliable, capable, ethical, sincere) identified by the Multi-Dimensional-Measure of Trust (MDMT). We tested whether these dimensions can differentially capture gains and losses in human-robot trust across robot roles and contexts. Using a 4 scenario × 4 trust dimension × 2 change direction between-subjects design, we found the behavior change manipulation effective for each of the four subscales. However, the pattern of results best supported a two-dimensional conception of trust, with reliable-capable and ethical-sincere as the major constituents.
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- Award ID(s):
- 1717701
- PAR ID:
- 10170792
- Date Published:
- Journal Name:
- 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
- Page Range / eLocation ID:
- 618 to 619
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/HRI.2019.8673154
