About the Journal
In Memory of Professor Jerzy Radecki
Ownership and Management Statement
Editorial Office
Editorial Board
Scope
Impact Factor
Indexed by
Journal Impact Factor contributing items
Publication Frequency
Revenue Sources & Business Model
Contact
Subscription
Current issue
Online first
Instructions for Authors
Copyright & Licensing
Publication Fees
Editorial policies
Publication Policy Overview
Peer Review Policy
Research Ethics and Malpractice Policy
Plagiarism Policy
Conflict of Interest Policy
Open Access Policy
Instructions for Reviewers
Generative AI and AI-Assisted Technologies Policy
Advertising Policy
Direct Marketing & Manuscript Solicitation
Digital Archiving and Preservation Policy
CrossMark, Correction, and Retraction Policy
Archive
Publication Fees
Copyright & Licensing
Editorial policies
Publication Policy Overview
Peer Review Policy
Research Ethics and Malpractice Policy
Plagiarism Policy
Conflict of Interest Policy
Open Access Policy
Instructions for Reviewers
Generative AI and AI-Assisted Technologies Policy
Advertising Policy
Direct Marketing & Manuscript Solicitation
Digital Archiving and Preservation Policy
CrossMark, Correction, and Retraction Policy
eISSN: 2083-5906
ISSN: 1230-1485
ISSN: 1230-1485
ORIGINAL RESEARCH
Designing for a Sustainable Future: The Role
of Animal Tracking Platforms in Fostering
Environmental Awareness and Conservation
1
Faculty of Art and Design, Anhui institute of information Technology, Wuhu 241000 China
2
School of Design, Anhui Polytechnic University, Anhui 241000, China
3
School of Design Art, Lanzhou University of Technology, Lanzhou 730050 China
Submission date: 2025-05-11
Final revision date: 2025-07-29
Acceptance date: 2025-08-03
Online publication date: 2025-09-22
Corresponding author
Yue Chen
Faculty of Art and Design, Anhui institute of information Technology, No.1, Yonghe Road, Wanchai District, Wuhu City, An, 241000, WuHu, China
Faculty of Art and Design, Anhui institute of information Technology, No.1, Yonghe Road, Wanchai District, Wuhu City, An, 241000, WuHu, China
KEYWORDS
animal tracking platformwildlife conservationuser perceptionlatent dirichlet allocation (LDA)structural equation modeling
TOPICS
ABSTRACT
With the advancement of digital technology, animal tracking platforms have evolved from
specialized conservation tools into dynamic interfaces that support public participation in sustainable
environmental development. As concerns over biodiversity loss and ecosystem health intensify, these
platforms increasingly serve as bridges between digital engagement and environmental awareness.
Drawing on both user-generated content and survey data, the research adopts a mixed-method approach
to explore how platform design shapes users’ cognitive engagement with conservation. Latent Dirichlet
Allocation (LDA) was applied to analyze social media discussions, identifying three dominant themes
that reflect user concerns: tracking and conservation relevance, interface design and usability, and
animal welfare and emotional connection. These themes informed the construction of three perceptionbased
variables: perceived platform functionality, design uniqueness, and interface information design.
Survey data were collected through both online and offline methods, targeting individuals familiar
with animal tracking platforms. A structural equation modeling (SEM) analysis based on 395 valid
responses reveals that these platform perceptions significantly influence users’ subjective norms,
perceived behavioral control, and behavioral attitudes, which in turn shape their intention to follow
wildlife conservation information. The findings suggest that platforms emphasizing intuitive design,
reliable tracking, and emotionally resonant content are more likely to foster meaningful conservationoriented
engagement. This study offers practical insights for conservation organizations and technology
developers seeking to enhance user participation through responsive, value-driven digital platforms.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (67)
1.
MORI A.S., DEE L.E., GONZALEZ A., OHASHI H., COWLES J., WRIGHT A.J., LOREAU M., HAUTIER Y., NEWBOLD T., REICH P.B. Biodiversity-productivity relationships are key to nature-based climate solutions. Nature Climate Change. 11 (6), 543, 2021. https://doi.org/10.1038/s41558....
2.
CORLETT R.T. Safeguarding our future by protecting biodiversity. Plant Diversity. 42 (4), 221, 2020. https://doi.org/10.1016/j.pld.....
3.
SELWOOD K., ZIMMER H. Refuges for biodiversity conservation: A review of the evidence. Biological Conservation. 245, 108502, 2020. https://doi.org/10.1016/j.bioc....
4.
CHANDLER M. The biodiversity convention: selected issues of interest to the international lawyer. Colorado Journal of International Environmental Law and Policy. 4, 141, 1993.
5.
ROGALLA VON BIEBERSTEIN K., SATTOUT E., CHRISTENSEN M., PISUPATI B., BURGESS N.D., HARRISON J., GELDMANN J. Improving collaboration in the implementation of global biodiversity conventions. Conservation Biology. 33 (4), 821, 2019. https://doi.org/10.1111/cobi.1....
6.
BOLAM F.C., MAIR L., ANGELICO M., BROOKS T.M., BURGMAN M., HERMES C., HOFFMANN M., MARTIN R.W., MCGOWAN P.J., RODRIGUES A.S. How many bird and mammal extinctions has recent conservation action prevented? Conservation Letters. 14 (1), e12762, 2021. https://doi.org/10.1111/conl.1....
7.
PANADEIRO V., RODRIGUEZ A., HENRY J., WLODKOWIC D., ANDERSSON M. A review of 28 free animal-tracking software applications: current features and limitations. Lab Animal. 50 (9), 246, 2021. https://doi.org/10.1038/s41684....
8.
RAO S.R., OLECHNOWICZ S.W., KRÄTSCHMER P., JEPSON J.E., EDWARDS C.M., EDWARDS J.R. Small animal video tracking for activity and path analysis using a novel open-source multi-platform application (AnimApp). Scientific Reports. 9 (1), 12343, 2019. https://doi.org/10.1038/s41598....
9.
KAYS R., CROFOOT M.C., JETZ W., WIKELSKI M. Terrestrial animal tracking as an eye on life and planet. Science. 348 (6240), aaa2478, 2015. https://doi.org/10.1126/scienc....
10.
LU B., LI K., WANG C., LI S. The application and outlook of wildlife tracking using sensor-based tags in China. Biodiversity Science. 32 (5), 23497, 2024. https://doi.org/10.17520/biods....
11.
DIONISIO M., MENDES M., FERNANDEZ M., NISI V., NUNES N. Aqua: Leveraging citizen science to enhance whale-watching activities and promote marine-biodiversity awareness. Sustainability. 14 (21), 14203, 2022. https://doi.org/10.3390/su1421....
12.
AGUILAR-LAZCANO C.A., ESPINOSA-CURIEL I.E., RÍOS-MARTÍNEZ J.A., MADERA-RAMÍREZ F.A., PÉREZ-ESPINOSA H. Machine learning-based sensor data fusion for animal monitoring: Scoping review. Sensors. 23 (12), 5732, 2023. https://doi.org/10.3390/s23125....
13.
STERN P.C. New environmental theories: toward a coherent theory of environmentally significant behavior. Journal of Social Issues. 56 (3), 407, 2000. https://doi.org/10.1111/0022-4....
14.
ARTS K., VAN DER WAL R., ADAMS W.M. Digital technology and the conservation of nature. Ambio. 44, 661, 2015. https://doi.org/10.1007/s13280....
15.
CHANG M.-Y., CHEN H.-S. Consumer attitudes and purchase intentions in relation to animal welfare-friendly products: evidence from Taiwan. Nutrients. 14 (21), 4571, 2022. https://doi.org/10.3390/nu1421....
16.
WASHIO T., OHASHI T., SAIJO M. What promotes intention? Factors influencing consumers' intention to purchase animal-welfare friendly beef in Japan. Springer, 2019. https://doi.org/10.1007/978-3-....
17.
CASTILLO-HUITRÓN N.M., NARANJO E.J., SANTOS-FITA D., ESTRADA-LUGO E. The importance of human emotions for wildlife conservation. Frontiers in Psychology. 11, 1277, 2020. https://doi.org/10.3389/fpsyg.....
18.
BALAKRISHNA K., MOHAMMED F., ULLAS C., HEMA C., SONAKSHI S. Application of IOT and machine learning in crop protection against animal intrusion. Global Transitions Proceedings. 2 (2), 169, 2021. https://doi.org/10.1016/j.gltp....
19.
SHI Y., LI C., ZHAO M. Herders' aversion to wildlife population increases in grassland ecosystem conservation: Evidence from a choice experiment study. Global Ecology and Conservation. 30, e01777, 2021. https://doi.org/10.1016/j.gecc....
20.
BALLANTYNE R., PACKER J., FALK J. Visitors' learning for environmental sustainability: Testing short- and long-term impacts of wildlife tourism experiences using structural equation modelling. Tourism Management. 32 (6), 1243, 2011. https://doi.org/10.1016/j.tour....
21.
CÁRDENAS S.A., LEW D.K. Factors influencing willingness to donate to marine endangered species recovery in the Galapagos National Park, Ecuador. Frontiers in Marine Science. 3, 60, 2016. https://doi.org/10.3389/fmars.....
22.
LO A.Y., CHOW A.T., CHEUNG S.M. Significance of perceived social expectation and implications to conservation education: Turtle conservation as a case study. Environmental Management. 50, 900, 2012. https://doi.org/10.1007/s00267....
23.
VENKATACHALAM L. The contingent valuation method: a review. Environmental Impact Assessment Review. 24 (1), 89, 2004. https://doi.org/10.1016/S0195-....
24.
BAYMUMINOVA N., SHERMUKHAMMEDOVA G., CHOI J.-G. Estimating the economic value of ichan kala using the contingent valuation method (CVM). Sustainability. 15 (3), 2631, 2023. https://doi.org/10.3390/su1503....
25.
KU S.-J., YOO S.-H. Willingness to pay for renewable energy investment in Korea: A choice experiment study. Renewable and Sustainable Energy Reviews. 14 (8), 2196, 2010. https://doi.org/10.1016/j.rser....
26.
HANLEY N., WRIGHT R.E., ADAMOWICZ V. Using choice experiments to value the environment. Environmental and Resource Economics. 11, 413, 1998. https://doi.org/10.1023/A:1008....
27.
MA K., LIU D., WEI R., ZHANG G., XIE H., HUANG Y., LI D., ZHANG H., XU H. Giant panda reintroduction: Factors affecting public support. Biodiversity and Conservation. 25, 2987, 2016. https://doi.org/10.1007/s10531....
28.
BANDARA R., TISDELL C. Changing abundance of elephants and willingness to pay for their conservation. Journal of Environmental Management. 76 (1), 47, 2005. https://doi.org/10.1016/j.jenv....
29.
GONG Y., BI X., WU J. Willingness to pay for the conservation of the endangered Red-crowned Crane in China: Roles of conservation attitudes and income. Forest Policy and Economics. 120, 102296, 2020. https://doi.org/10.1016/j.forp....
30.
HOU Y., LIU T., ZHAO Z., WEN Y. Estimating the cultural value of wild animals in the Qinling Mountains, China: A choice experiment. Animals. 10 (12), 2422, 2020. https://doi.org/10.3390/ani101....
31.
HANSON J.H., SCHUTGENS M., BARAL N. What explains tourists' support for snow leopard conservation in the Annapurna Conservation Area, Nepal? Human Dimensions of Wildlife. 24 (1), 31, 2019. https://doi.org/10.1080/108712....
32.
MILLER S.E.W. Beliefs, attitudes, and intentions toward watching wildlife and reading interpretive media and media use for information about wildlife. University of Florida, 1995.
33.
AIPANJIGULY S., JACOBSON S.K., FLAMM R. Conserving manatees: knowledge, attitudes, and intentions of boaters in Tampa Bay, Florida. Conservation Biology. 17 (4), 1098, 2003. https://doi.org/10.1046/j.1523....
34.
MOUSSA L.G., MOHAN M. Exploring Citizen Science Applications for Wildlife Monitoring. Science. 1, 100005, 2024. https://doi.org/10.70389/PJES.....
35.
JANSEN M., BEUKES M., WEILAND C., BLUMER M., RUDOLFI M., POERTING J., MEIßNER R., WEIß M., CONDORI Y., ARAMAYO-LEDEZMA G. Engaging Citizen Scientists in Biodiversity Monitoring: Insights from the WildLIVE! Project. Citizen Science: Theory and Practice. 9 (1), 2024. https://doi.org/10.5334/cstp.6....
36.
JHA A.K., VERMA N.K. Social media platforms and user engagement: A multi-platform study on one-way firm sustainability communication. Information Systems Frontiers. 26 (1), 177, 2024. https://doi.org/10.1007/s10796....
37.
YAN D., WANG C., SUN T., WEN D. The impact of service experience on sustainable customer engagement: The mediation of green perceived value and customer satisfaction. Corporate Social Responsibility and Environmental Management. 31 (3), 2175, 2024. https://doi.org/10.1002/csr.26....
38.
CHEN L., HAIDER M.J., HE J. Should "green information" be interactive? The influence of green information presentation on consumers' green participation behavior for driving sustainable consumption of fashion brands. Journal of Cleaner Production. 470, 143329, 2024. https://doi.org/10.1016/j.jcle....
39.
LAHOZ-MONFORT J.J., MAGRATH M.J. A comprehensive overview of technologies for species and habitat monitoring and conservation. BioScience. 71 (10), 1038, 2021. https://doi.org/10.1093/biosci....
40.
LIU X., YANG T., YAN B. Research on the architecture of wildlife observation and communication system. IEEE, 2015. https://doi.org/10.1109/CyberC....
41.
LIEBENBERG L., STEVENTON J., BRAHMAN N., BENADIE K., MINYE J., LANGWANE H.K. Smartphone Icon User Interface design for non-literate trackers and its implications for an inclusive citizen science. Biological Conservation. 208, 155, 2017. https://doi.org/10.1016/j.bioc....
42.
LUNA S., GOLD M., ALBERT A., CECCARONI L., CLARAMUNT B., DANYLO O., HAKLAY M., KOTTMANN R., KYBA C., PIERA J. Developing mobile applications for environmental and biodiversity citizen science: considerations and recommendations. In: Multimedia Tools and Applications for Environmental & Biodiversity Informatics. Springer, 2018. https://doi.org/10.1007/978-3-....
43.
RIEGELSBERGER J., SASSE M.A., MCCARTHY J.D. The mechanics of trust: A framework for research and design. International Journal of Human-Computer Studies. 62 (3), 381, 2005. https://doi.org/10.1016/j.ijhc....
44.
YU D., XIANG B. Discovering topics and trends in the field of Artificial Intelligence: Using LDA topic modeling. Expert Systems with Applications. 225, 120114, 2023. https://doi.org/10.1016/j.eswa....
45.
KUKREJA V. Recent trends in mathematical expressions recognition: An LDA-based analysis. Expert Systems with Applications. 213, 119028, 2023. https://doi.org/10.1016/j.eswa....
46.
AJZEN I. The theory of planned behavior. Organizational Behavior and Human Decision Processes. 50 (2), 179, 1991. https://doi.org/10.1016/0749-5....
47.
KIM E., LEE J.-A., SUNG Y., CHOI S.M. Predicting selfie-posting behavior on social networking sites: An extension of theory of planned behavior. Computers in Human Behavior. 62, 116, 2016. https://doi.org/10.1016/j.chb.....
48.
VENKATESH V., DAVIS F.D. A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science. 46 (2), 186, 2000. https://doi.org/10.1287/mnsc.4....
49.
GEFEN D., KARAHANNA E., STRAUB D.W. Trust and TAM in online shopping: An integrated model. MIS Quarterly. 27 (1), 51, 2003. https://doi.org/10.2307/300365....
50.
LAVIE T., TRACTINSKY N. Assessing dimensions of perceived visual aesthetics of web sites. International Journal of Human-Computer Studies. 60 (3), 269, 2004. https://doi.org/10.1016/j.ijhc....
51.
KIM Y., SUNDAR S.S. Visualizing ideal self vs. actual self through avatars: Impact on preventive health outcomes. Computers in Human Behavior. 28 (4), 1356, 2012. https://doi.org/10.1016/j.chb.....
52.
SWELLER J. Cognitive load theory, learning difficulty, and instructional design. Learning and Instruction. 4 (4), 295, 1994. https://doi.org/10.1016/0959-4....
53.
SUNDAR S.S. The MAIN model: A heuristic approach to understanding technology effects on credibility. MacArthur Foundation Digital Media and Learning Initiative Cambridge, MA, 2008.
54.
BROSSARD D., SCHEUFELE D.A. Science, new media, and the public. Science. 339 (6115), 40, 2013. https://doi.org/10.1126/scienc....
55.
ALZAHRANI A.I., MAHMUD I., RAMAYAH T., ALFARRAJ O., ALALWAN N. Extending the theory of planned behavior (TPB) to explain online game playing among Malaysian undergraduate students. Telematics and Informatics. 34 (4), 239, 2017. https://doi.org/10.1016/j.tele....
56.
PILLAI S.G., KIM W.G., HALDORAI K., KIM H.-S. Online food delivery services and consumers' purchase intention: Integration of theory of planned behavior, theory of perceived risk, and the elaboration likelihood model. International Journal of Hospitality Management. 105, 103275, 2022. https://doi.org/10.1016/j.ijhm....
57.
TIBERGHIEN G., BREMNER H., MILNE S. Performance and visitors' perception of authenticity in eco-cultural tourism. Tourism Geographies. 19 (2), 287, 2017. https://doi.org/10.1080/146166....
58.
SHRESTHA N. Factor analysis as a tool for survey analysis. American Journal of Applied Mathematics and Statistics. 9 (1), 4, 2021. https://doi.org/10.12691/ajams....
59.
SABRA M.A.A. An adapted management of early warning signs of relapse questionnaire: Validity and reliability. Archives of Psychiatric Nursing. 45, 16, 2023. https://doi.org/10.1016/j.apnu....
60.
HAN Y.W., LEE Y.-K. Solitude motivation and its effect on consumption value and consumer happiness in a restaurant context. Journal of Hospitality and Tourism Management. 61, 178, 2024. https://doi.org/10.1016/j.jhtm....
61.
PENG X., LI J., TANG H., LUO Q. Gamified interaction and urban regeneration: an analysis of serious game participation in rural architectural transformation and its influential factors. Journal of Asian Architecture and Building Engineering. 1, 2024. https://doi.org/10.1080/134675....
63.
HAIR JR J.F., ANDERSON R.E., TATHAM R.L., BLACK W.C. Multivariate data analysis with readings. Prentice-Hall, Inc., 1995.
64.
EISINGA R., GROTENHUIS M.T., PELZER B. The reliability of a two-item scale: Pearson, Cronbach, or Spearman-Brown? International Journal of Public Health. 58, 637, 2013. https://doi.org/10.1007/s00038....
65.
MUILENBURG L.Y., BERGE Z.L. Student barriers to online learning: A factor analytic study. Distance Education. 26 (1), 29, 2005. https://doi.org/10.1080/015879....
66.
AHMAD S., ZULKURNAIN N., KHAIRUSHALIMI F. Assessing the validity and reliability of a measurement model in Structural Equation Modeling (SEM). British Journal of Mathematics & Computer Science. 15 (3), 1, 2016. https://doi.org/10.9734/BJMCS/....
67.
FORNELL C., LARCKER D. Structural equation models with unobservable variables and measurement error: Algebra and statistics. Sage publications, 1981. https://doi.org/10.2307/315098....
Share
RELATED ARTICLE
| eISSN: | 2083-5906 |
| ISSN: | 1230-1485 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
