Data

Participant background and response data for Experiment 1. Response data in long format, and labelled with analysis question types.

Monash University
Ann E. Nicholson (Aggregated by) Erik P. Nyberg (Aggregated by) Ingrid Zukerman (Aggregated by) Michael Wybrow (Aggregated by) Steven Mascaro (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26180/30673622.v1&rft.title=Participant background and response data for Experiment 1. Response data in long format, and labelled with analysis question types.&rft.identifier=https://doi.org/10.26180/30673622.v1&rft.publisher=Monash University&rft.description=Bayesian Networks (BNs) are an important tool for assisting probabilistic reasoning, but despite being considered transparent models, people have trouble understanding them. Current User Interfaces (UIs) still do not clarify the reasoning of BNs. To address this problem, we designed verbal and visual extensions to the standard BN UI, which can guide users through common inference patterns. We conducted a user study to compare our verbal, visual and combined UI extensions, and a baseline UI. This is the anonymised data collected from that user study, including participant background information and long format response data.&rft.creator=Ann E. Nicholson&rft.creator=Erik P. Nyberg&rft.creator=Ingrid Zukerman&rft.creator=Michael Wybrow&rft.creator=Steven Mascaro&rft.date=2025&rft_rights=CC-BY-4.0&rft_subject=Bayesian networks&rft_subject=explainable AI&rft_subject=XAI&rft_subject=reasoning under uncertainty&rft_subject=Knowledge representation and reasoning&rft.type=dataset&rft.language=English Access the data
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Full description

Bayesian Networks (BNs) are an important tool for assisting probabilistic reasoning, but despite being considered transparent models, people have trouble understanding them. Current User Interfaces (UIs) still do not clarify the reasoning of BNs. To address this problem, we designed verbal and visual extensions to the standard BN UI, which can guide users through common inference patterns. We conducted a user study to compare our verbal, visual and combined UI extensions, and a baseline UI. This is the anonymised data collected from that user study, including participant background information and long format response data.

Issued: 2025-11-21

Created: 2025-11-21

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Subjects
Bayesian networks | Knowledge representation and reasoning | XAI | explainable AI | reasoning under uncertainty |

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Identifiers
ACN 633 798 857