Supporting data for "Optimisation of Trust in Collaborative Human-Machine Intelligence in Construction"
<p dir="ltr">The dataset comprises five distinct folders, each corresponding to a specific chapter of the study. The first folder contains Scopus-derived data alongside analytical results that substantiate the figures presented in Chapter 1. The second folder mirrors the structure of...
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2025
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| _version_ | 1852018197090271233 |
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| author | Hao Chen (9696848) |
| author_facet | Hao Chen (9696848) |
| author_role | author |
| dc.creator.none.fl_str_mv | Hao Chen (9696848) |
| dc.date.none.fl_str_mv | 2025-07-25T07:11:36Z |
| dc.identifier.none.fl_str_mv | 10.25442/hku.29488034.v1 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Supporting_data_for_Optimisation_of_Trust_in_Collaborative_Human-Machine_Intelligence_in_Construction_/29488034 |
| dc.rights.none.fl_str_mv | CC BY-NC 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Automation and technology in building and construction Building construction management and project planning Fairness, accountability, transparency, trust and ethics of computer systems Industrial and organisational psychology (incl. human factors) human-machine loop design Human-Robotic Partnership trust and confidence EEG Anticipation Eye-tracking evidence Construction robotics |
| dc.title.none.fl_str_mv | Supporting data for "Optimisation of Trust in Collaborative Human-Machine Intelligence in Construction" |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p dir="ltr">The dataset comprises five distinct folders, each corresponding to a specific chapter of the study. The first folder contains Scopus-derived data alongside analytical results that substantiate the figures presented in Chapter 1. The second folder mirrors the structure of the first, encompassing Scopus data and Python source code used to generate the visualizations featured in Chapter 2. The third folder consists of qualitative data obtained from semi-structured interviews, as detailed in Chapter 5, which explore factors influencing construction professionals’ trust in machine intelligence. The fourth folder includes quantitative data collected via a questionnaire survey, capturing respondents' assessments and levels of trust toward machine intelligence. Lastly, the fifth folder comprises the Unity3D model, experimental data (EEG, eye-tracking, and behavioral recordings), and analytical files (Python source code and SPSS files) supporting real-time trust estimation.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_28fa72e82f2e7bbcdf2ac5f407929b56 |
| identifier_str_mv | 10.25442/hku.29488034.v1 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29488034 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY-NC 4.0 |
| spelling | Supporting data for "Optimisation of Trust in Collaborative Human-Machine Intelligence in Construction"Hao Chen (9696848)Automation and technology in building and constructionBuilding construction management and project planningFairness, accountability, transparency, trust and ethics of computer systemsIndustrial and organisational psychology (incl. human factors)human-machine loop designHuman-Robotic Partnershiptrust and confidenceEEG AnticipationEye-tracking evidenceConstruction robotics<p dir="ltr">The dataset comprises five distinct folders, each corresponding to a specific chapter of the study. The first folder contains Scopus-derived data alongside analytical results that substantiate the figures presented in Chapter 1. The second folder mirrors the structure of the first, encompassing Scopus data and Python source code used to generate the visualizations featured in Chapter 2. The third folder consists of qualitative data obtained from semi-structured interviews, as detailed in Chapter 5, which explore factors influencing construction professionals’ trust in machine intelligence. The fourth folder includes quantitative data collected via a questionnaire survey, capturing respondents' assessments and levels of trust toward machine intelligence. Lastly, the fifth folder comprises the Unity3D model, experimental data (EEG, eye-tracking, and behavioral recordings), and analytical files (Python source code and SPSS files) supporting real-time trust estimation.</p>2025-07-25T07:11:36ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.25442/hku.29488034.v1https://figshare.com/articles/dataset/Supporting_data_for_Optimisation_of_Trust_in_Collaborative_Human-Machine_Intelligence_in_Construction_/29488034CC BY-NC 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/294880342025-07-25T07:11:36Z |
| spellingShingle | Supporting data for "Optimisation of Trust in Collaborative Human-Machine Intelligence in Construction" Hao Chen (9696848) Automation and technology in building and construction Building construction management and project planning Fairness, accountability, transparency, trust and ethics of computer systems Industrial and organisational psychology (incl. human factors) human-machine loop design Human-Robotic Partnership trust and confidence EEG Anticipation Eye-tracking evidence Construction robotics |
| status_str | publishedVersion |
| title | Supporting data for "Optimisation of Trust in Collaborative Human-Machine Intelligence in Construction" |
| title_full | Supporting data for "Optimisation of Trust in Collaborative Human-Machine Intelligence in Construction" |
| title_fullStr | Supporting data for "Optimisation of Trust in Collaborative Human-Machine Intelligence in Construction" |
| title_full_unstemmed | Supporting data for "Optimisation of Trust in Collaborative Human-Machine Intelligence in Construction" |
| title_short | Supporting data for "Optimisation of Trust in Collaborative Human-Machine Intelligence in Construction" |
| title_sort | Supporting data for "Optimisation of Trust in Collaborative Human-Machine Intelligence in Construction" |
| topic | Automation and technology in building and construction Building construction management and project planning Fairness, accountability, transparency, trust and ethics of computer systems Industrial and organisational psychology (incl. human factors) human-machine loop design Human-Robotic Partnership trust and confidence EEG Anticipation Eye-tracking evidence Construction robotics |