Human-Survey Interaction (HSI): A Study on Integrity of Human Data Collectors in a Mass-Scale Hajj Pilgrimage Survey
Mass gatherings (such as Hajj/Umrah), owing to their immensity, often present a variety of difficulties to the attendees. To have a comprehensive understanding of the difficulties as well as their potential remedies, surveying a good number of attendees is unavoidable and this can be facilitated thr...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9508367/ |
| _version_ | 1818363058243764224 |
|---|---|
| author | Saiful Islam Salim Najla Abdulrahman Al-Nabhan Masfiqur Rahaman Nafisa Islam Tarik Reza Toha Jannatun Noor Adnan Quaium Aaiyeesha Mostak Mainul Hossain Md. Masum Mushfiq A. B. M. Alim Al Islam |
| author_facet | Saiful Islam Salim Najla Abdulrahman Al-Nabhan Masfiqur Rahaman Nafisa Islam Tarik Reza Toha Jannatun Noor Adnan Quaium Aaiyeesha Mostak Mainul Hossain Md. Masum Mushfiq A. B. M. Alim Al Islam |
| author_sort | Saiful Islam Salim |
| collection | DOAJ |
| description | Mass gatherings (such as Hajj/Umrah), owing to their immensity, often present a variety of difficulties to the attendees. To have a comprehensive understanding of the difficulties as well as their potential remedies, surveying a good number of attendees is unavoidable and this can be facilitated through engaging data collectors. A crucial part here is identifying the integrity of the data collectors, which is yet to be explored in the literature to the best of our knowledge. To address this gap, in this study, we first perform a mass-scale data collection over Hajj/Umrah pilgrims through online (n = 236) and in-person (n = 752) surveys, where we cover a substantial part (n = 712) through paid data collectors (n = 53). We critically investigate data collection activities of the data collectors through focused group discussions involving expert reviewers. We explore two computing techniques to unveil the integrity of the data collectors from two different perspectives. Our study finds out influential (religious and socio-geographical) aspects that impact the data collection process. Besides, we find that the collaborative participation of expert reviewers is obligatory to scrutinize the data collectors’ integrity. Additionally, our explored computing techniques, namely conflict analysis and learning-based analysis, can identify up to 74% and 99% of the unreliable data collectors respectively. We observe that, although these computing-based filtering can indicate the integrity up to a certain level, human-in-the-loop is unavoidable for concluding on the integrity. To the best of our knowledge, this is the first study of its kind (i.e., integrity analysis of the data collectors) in the literature. |
| first_indexed | 2024-12-13T21:42:26Z |
| format | Article |
| id | doaj.art-f38cc3a32ed441e98abb239381e954d2 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T21:42:26Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-f38cc3a32ed441e98abb239381e954d22022-12-21T23:30:31ZengIEEEIEEE Access2169-35362021-01-01911252811255110.1109/ACCESS.2021.31030469508367Human-Survey Interaction (HSI): A Study on Integrity of Human Data Collectors in a Mass-Scale Hajj Pilgrimage SurveySaiful Islam Salim0https://orcid.org/0000-0002-4464-2203Najla Abdulrahman Al-Nabhan1https://orcid.org/0000-0002-0805-1721Masfiqur Rahaman2https://orcid.org/0000-0001-8647-6189Nafisa Islam3https://orcid.org/0000-0001-7784-5480Tarik Reza Toha4https://orcid.org/0000-0002-6529-3487Jannatun Noor5https://orcid.org/0000-0001-9669-151XAdnan Quaium6https://orcid.org/0000-0003-1108-1734Aaiyeesha Mostak7Mainul Hossain8https://orcid.org/0000-0003-3462-2660Md. Masum Mushfiq9https://orcid.org/0000-0003-0306-1485A. B. M. Alim Al Islam10https://orcid.org/0000-0001-8159-6114Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, BangladeshDepartment of Computer Science, King Saud University, Riyad, Saudi ArabiaDepartment of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, BangladeshDepartment of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka, BangladeshDepartment of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, BangladeshDepartment of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, BangladeshDepartment of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, BangladeshDepartment of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, BangladeshDepartment of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, BangladeshDepartment of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, BangladeshDepartment of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, BangladeshMass gatherings (such as Hajj/Umrah), owing to their immensity, often present a variety of difficulties to the attendees. To have a comprehensive understanding of the difficulties as well as their potential remedies, surveying a good number of attendees is unavoidable and this can be facilitated through engaging data collectors. A crucial part here is identifying the integrity of the data collectors, which is yet to be explored in the literature to the best of our knowledge. To address this gap, in this study, we first perform a mass-scale data collection over Hajj/Umrah pilgrims through online (n = 236) and in-person (n = 752) surveys, where we cover a substantial part (n = 712) through paid data collectors (n = 53). We critically investigate data collection activities of the data collectors through focused group discussions involving expert reviewers. We explore two computing techniques to unveil the integrity of the data collectors from two different perspectives. Our study finds out influential (religious and socio-geographical) aspects that impact the data collection process. Besides, we find that the collaborative participation of expert reviewers is obligatory to scrutinize the data collectors’ integrity. Additionally, our explored computing techniques, namely conflict analysis and learning-based analysis, can identify up to 74% and 99% of the unreliable data collectors respectively. We observe that, although these computing-based filtering can indicate the integrity up to a certain level, human-in-the-loop is unavoidable for concluding on the integrity. To the best of our knowledge, this is the first study of its kind (i.e., integrity analysis of the data collectors) in the literature.https://ieeexplore.ieee.org/document/9508367/Collaborative filteringreligious congregationsocial computingempirical investigationsdata collector integrityreliability |
| spellingShingle | Saiful Islam Salim Najla Abdulrahman Al-Nabhan Masfiqur Rahaman Nafisa Islam Tarik Reza Toha Jannatun Noor Adnan Quaium Aaiyeesha Mostak Mainul Hossain Md. Masum Mushfiq A. B. M. Alim Al Islam Human-Survey Interaction (HSI): A Study on Integrity of Human Data Collectors in a Mass-Scale Hajj Pilgrimage Survey IEEE Access Collaborative filtering religious congregation social computing empirical investigations data collector integrity reliability |
| title | Human-Survey Interaction (HSI): A Study on Integrity of Human Data Collectors in a Mass-Scale Hajj Pilgrimage Survey |
| title_full | Human-Survey Interaction (HSI): A Study on Integrity of Human Data Collectors in a Mass-Scale Hajj Pilgrimage Survey |
| title_fullStr | Human-Survey Interaction (HSI): A Study on Integrity of Human Data Collectors in a Mass-Scale Hajj Pilgrimage Survey |
| title_full_unstemmed | Human-Survey Interaction (HSI): A Study on Integrity of Human Data Collectors in a Mass-Scale Hajj Pilgrimage Survey |
| title_short | Human-Survey Interaction (HSI): A Study on Integrity of Human Data Collectors in a Mass-Scale Hajj Pilgrimage Survey |
| title_sort | human survey interaction hsi a study on integrity of human data collectors in a mass scale hajj pilgrimage survey |
| topic | Collaborative filtering religious congregation social computing empirical investigations data collector integrity reliability |
| url | https://ieeexplore.ieee.org/document/9508367/ |
| work_keys_str_mv | AT saifulislamsalim humansurveyinteractionhsiastudyonintegrityofhumandatacollectorsinamassscalehajjpilgrimagesurvey AT najlaabdulrahmanalnabhan humansurveyinteractionhsiastudyonintegrityofhumandatacollectorsinamassscalehajjpilgrimagesurvey AT masfiqurrahaman humansurveyinteractionhsiastudyonintegrityofhumandatacollectorsinamassscalehajjpilgrimagesurvey AT nafisaislam humansurveyinteractionhsiastudyonintegrityofhumandatacollectorsinamassscalehajjpilgrimagesurvey AT tarikrezatoha humansurveyinteractionhsiastudyonintegrityofhumandatacollectorsinamassscalehajjpilgrimagesurvey AT jannatunnoor humansurveyinteractionhsiastudyonintegrityofhumandatacollectorsinamassscalehajjpilgrimagesurvey AT adnanquaium humansurveyinteractionhsiastudyonintegrityofhumandatacollectorsinamassscalehajjpilgrimagesurvey AT aaiyeeshamostak humansurveyinteractionhsiastudyonintegrityofhumandatacollectorsinamassscalehajjpilgrimagesurvey AT mainulhossain humansurveyinteractionhsiastudyonintegrityofhumandatacollectorsinamassscalehajjpilgrimagesurvey AT mdmasummushfiq humansurveyinteractionhsiastudyonintegrityofhumandatacollectorsinamassscalehajjpilgrimagesurvey AT abmalimalislam humansurveyinteractionhsiastudyonintegrityofhumandatacollectorsinamassscalehajjpilgrimagesurvey |