{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T17:10:08Z","timestamp":1759165808019,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":56,"publisher":"ACM","funder":[{"name":"This research was Funded through AgResearch's Strategic Science Investment Fund (SIFF) investment received from the Ministry of Business , Innovation and Employment for funding the integrated research programme ? The New Zealand Bioeconomy in the Digital Age - (NZBIDA).","award":[""],"award-info":[{"award-number":[""]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,11,30]]},"DOI":"10.1145\/3726986.3727902","type":"proceedings-article","created":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T15:13:01Z","timestamp":1759158781000},"page":"174-183","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Stakeholder-Driven Design for Collaborative Decision Support in New Zealand Agriculture"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5086-4013","authenticated-orcid":false,"given":"Mahgol","family":"Yousefi","sequence":"first","affiliation":[{"name":"School of Product Design, University of Canterbury, Christchurch, New Zealand"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6049-1380","authenticated-orcid":false,"given":"Jingjing","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Canterbury, Christchurch, Canterbury, New Zealand"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3340-4808","authenticated-orcid":false,"given":"Mos","family":"Sharifi","sequence":"additional","affiliation":[{"name":"AgResearch, Christchurch, Canterbury, New Zealand"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5184-3364","authenticated-orcid":false,"given":"Alvaro J","family":"Jorge Romera","sequence":"additional","affiliation":[{"name":"AgResearch, Hamilton, New Zealand"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8545-6256","authenticated-orcid":false,"given":"Ahmad","family":"Shahi","sequence":"additional","affiliation":[{"name":"Unitec Institute of Technology, Auckland, New Zealand"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4201-844X","authenticated-orcid":false,"given":"Simon","family":"Hoermann","sequence":"additional","affiliation":[{"name":"School of Product Design, University of Canterbury, Christchurch, Canterbury, New Zealand"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5870-9221","authenticated-orcid":false,"given":"Thammathip","family":"Piumsomboon","sequence":"additional","affiliation":[{"name":"School of Product Design, University of Canterbury, Christchurch, New Zealand"}]}],"member":"320","published-online":{"date-parts":[[2025,9,29]]},"reference":[{"key":"e_1_3_3_2_2_2","unstructured":"Nikos Alexandratos and Jelle Bruinsma. 2012. World agriculture towards 2030\/2050: the 2012 revision. (2012)."},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"crossref","unstructured":"Gi-taek An Seyoung Oh Eunhye Kim and Jung-min Park. 2024. Data Lake Conceptualized Web Platform for Food Research Data Collection. Journal of Web Engineering 23 3 (2024) 377\u2013392.","DOI":"10.13052\/jwe1540-9589.2333"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"crossref","unstructured":"Sandro Bimonte Gianni Bellocchi Fran\u00e7ois Pinet Guillaume Charrier Dimitris Sacharidis Mahmoud Sakr Ronan Tournier Gentian Jakllari Gerard Chalhoub Tahar Kechadi et\u00a0al. 2024. Technological and Research Challenges in Data Engineering for Sustainable Agriculture. BIG DATA (2024).","DOI":"10.1145\/3663741.3664786"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"crossref","unstructured":"Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative research in psychology 3 2 (2006) 77\u2013101.","DOI":"10.1191\/1478088706qp063oa"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"crossref","unstructured":"JR Bryant G Ogle PR Marshall CB Glassey JAS Lancaster SC Garcia and CW Holmes. 2010. Description and evaluation of the Farmax Dairy Pro decision support model. New Zealand Journal of Agricultural Research 53 1 (2010) 13\u201328.","DOI":"10.1080\/00288231003606054"},{"key":"e_1_3_3_2_7_2","unstructured":"Neeloy Chakraborty Melkior Ornik and Katherine Driggs-Campbell. 2024. Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2403.16527 (2024)."},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"crossref","unstructured":"Jorge\u00a0A Delgado Nicholas\u00a0M Short\u00a0Jr Daniel\u00a0P Roberts and Bruce Vandenberg. 2019. Big data analysis for sustainable agriculture on a geospatial cloud framework. Frontiers in Sustainable Food Systems 3 (2019) 54.","DOI":"10.3389\/fsufs.2019.00054"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"crossref","unstructured":"Callum Eastwood Margaret Ayre Ruth Nettle and Brian\u00a0Dela Rue. 2019. Making sense in the cloud: Farm advisory services in a smart farming future. NJAS-Wageningen Journal of Life Sciences 90 (2019) 100298.","DOI":"10.1016\/j.njas.2019.04.004"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"crossref","unstructured":"Callum\u00a0R Eastwood JP Edwards and James\u00a0Alan Turner. 2021. Anticipating alternative trajectories for responsible Agriculture 4.0 innovation in livestock systems. Animal 15 (2021) 100296.","DOI":"10.1016\/j.animal.2021.100296"},{"key":"e_1_3_3_2_11_2","unstructured":"Fonterra. [n. d.]. Fonterra. https:\/\/nzfarmsource.co.nz\/"},{"key":"e_1_3_3_2_12_2","unstructured":"Food and Agriculture Organization of the United Nations. 2023. Dairy production and products: Farm practices. https:\/\/www.fao.org\/dairy-production-products\/production\/farm-practices\/en\/ Accessed: 2023-01-10."},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"crossref","unstructured":"Natalie Friedman Zm Tan Micah\u00a0N Haskins Wendy Ju Diane Bailey and Louis Longchamps. 2024. Understanding Farmers\u2019 Data Collection Practices on Small-to-Medium Farms for the Design of Future Farm Management Information Systems. Proceedings of the ACM on Human-Computer Interaction 8 CSCW1 (2024) 1\u201328.","DOI":"10.1145\/3637416"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"crossref","unstructured":"Nicholas Jenkins Karen Monaghan and Michael Smith. 2023. Did they really say that? An agential realist approach to using computer assisted transcription software in qualitative data analysis. International Journal of Social Research Methodology 26 1 (2023) 97\u2013109.","DOI":"10.1080\/13645579.2021.1965037"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"crossref","unstructured":"Tero Kaarlela Paulo Padrao Tomi Pitk\u00e4aho Sakari Piesk\u00e4 and Leonardo Bobadilla. 2022. Digital twins utilizing XR-technology as robotic training tools. Machines 11 1 (2022) 13.","DOI":"10.3390\/machines11010013"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/I2CT.2018.8529498"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"crossref","unstructured":"Ananth Kalyanaraman Margaret Burnett Alan Fern Lav Khot and Joshua Viers. 2022. Special report: The AgAID AI institute for transforming workforce and decision support in agriculture. Computers and Electronics in Agriculture 197 (2022) 106944.","DOI":"10.1016\/j.compag.2022.106944"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"crossref","unstructured":"Sachin\u00a0S Kamble Angappa Gunasekaran and Shradha\u00a0A Gawankar. 2020. Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications. International Journal of Production Economics 219 (2020) 179\u2013194.","DOI":"10.1016\/j.ijpe.2019.05.022"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"crossref","unstructured":"Varsha Kanojia A Subeesh and NL Kushwaha. 2024. Artificial Intelligence and Smart Farming: An Overview. Artificial Intelligence and Smart Agriculture: Technology and Applications (2024) 3\u201322.","DOI":"10.1007\/978-981-97-0341-8_1"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/3532106.3533528"},{"key":"e_1_3_3_2_21_2","unstructured":"Savas Konur Yang Lan Dhavalkumar Thakker Geev Morkyani Nereida Polovina and James Sharp. 2023. Towards design and implementation of Industry 4.0 for food manufacturing. Neural Computing and Applications (2023) 1\u201313."},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"crossref","unstructured":"Sylvie\u00a0D Lambert and Carmen\u00a0G Loiselle. 2008. Combining individual interviews and focus groups to enhance data richness. Journal of advanced nursing 62 2 (2008) 228\u2013237.","DOI":"10.1111\/j.1365-2648.2007.04559.x"},{"key":"e_1_3_3_2_23_2","unstructured":"Levno. [n. d.]. Levno - Milk Monitoring. https:\/\/www.levno.com\/milk-monitoring"},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"crossref","unstructured":"Jiajia Li Mingle Xu Lirong Xiang Dong Chen Weichao Zhuang Xunyuan Yin and Zhaojian Li. 2024. Foundation models in smart agriculture: Basics opportunities and challenges. Computers and Electronics in Agriculture 222 (2024) 109032.","DOI":"10.1016\/j.compag.2024.109032"},{"key":"e_1_3_3_2_25_2","unstructured":"Chen Liang and Tufail Shah. 2023. IoT in agriculture: The future of precision monitoring and data-driven farming. Eigenpub Review of Science and Technology 7 1 (2023) 85\u2013104."},{"key":"e_1_3_3_2_26_2","unstructured":"Guoyu Lu Sheng Li Gengchen Mai Jin Sun Dajiang Zhu Lilong Chai Haijian Sun Xianqiao Wang Haixing Dai Ninghao Liu et\u00a0al. 2023. Agi for agriculture. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2304.06136 (2023)."},{"key":"e_1_3_3_2_27_2","unstructured":"Chengqian Ma Zhanxiang Hua Alexandra Anderson-Frey Vikram Iyer Xin Liu and Lianhui Qin. 2024. WeatherQA: Can Multimodal Language Models Reason about Severe Weather? arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2406.11217 (2024)."},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1145\/3029798.3034811"},{"key":"e_1_3_3_2_29_2","doi-asserted-by":"crossref","unstructured":"Zia Mehrabi Mollie\u00a0J McDowell Vincent Ricciardi Christian Levers Juan\u00a0Diego Martinez Natascha Mehrabi Hannah Wittman Navin Ramankutty and Andy Jarvis. 2021. The global divide in data-driven farming. Nature Sustainability 4 2 (2021) 154\u2013160.","DOI":"10.1038\/s41893-020-00631-0"},{"key":"e_1_3_3_2_30_2","unstructured":"MetService. [n. d.]. MetService. https:\/\/www.metservice.com\/"},{"key":"e_1_3_3_2_31_2","unstructured":"Farm Minder. 1998. Farm Minder. https:\/\/www.farmminder.com.au\/about-us"},{"key":"e_1_3_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.1145\/3508072.3508130"},{"key":"e_1_3_3_2_33_2","doi-asserted-by":"crossref","unstructured":"Suresh Neethirajan. 2024. Net Zero Dairy Farming\u2014Advancing Climate Goals with Big Data and Artificial Intelligence. Climate 12 2 (2024) 15.","DOI":"10.3390\/cli12020015"},{"key":"e_1_3_3_2_34_2","unstructured":"Mahsan Nourani Joanie\u00a0T King and Eric\u00a0D Ragan. 2020. The role of domain expertise in user trust and the impact of first impressions with intelligent systems (2020). arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2008.09100 (2020)."},{"key":"e_1_3_3_2_35_2","doi-asserted-by":"crossref","unstructured":"Arjun Pakrashi Duncan Wallace Brian Mac\u00a0Namee Derek Greene and Christophe Gu\u00e9ret. 2023. CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring. Frontiers in Artificial Intelligence 6 (2023) 1209507.","DOI":"10.3389\/frai.2023.1209507"},{"key":"e_1_3_3_2_36_2","doi-asserted-by":"crossref","unstructured":"Nikolaos Partarakis and Xenophon Zabulis. 2024. A review of immersive technologies knowledge representation and AI for human-centered digital experiences. Electronics 13 2 (2024) 269.","DOI":"10.3390\/electronics13020269"},{"key":"e_1_3_3_2_37_2","doi-asserted-by":"crossref","unstructured":"Dev Patnaik and Robert Becker. 1999. Needfinding: the why and how of uncovering people\u2019s needs. Design Management Journal (Former Series) 10 2 (1999) 37\u201343.","DOI":"10.1111\/j.1948-7169.1999.tb00250.x"},{"key":"e_1_3_3_2_38_2","doi-asserted-by":"crossref","unstructured":"Thammathip Piumsomboon Arindam Dey Barrett Ens Gun Lee and Mark Billinghurst. 2019. The effects of sharing awareness cues in collaborative mixed reality. Frontiers in Robotics and AI 6 (2019) 5.","DOI":"10.3389\/frobt.2019.00005"},{"key":"e_1_3_3_2_39_2","doi-asserted-by":"crossref","unstructured":"Warren Purcell and Thomas Neubauer. 2023. Digital Twins in Agriculture: A State-of-the-art review. Smart Agricultural Technology 3 (2023) 100094.","DOI":"10.1016\/j.atech.2022.100094"},{"key":"e_1_3_3_2_40_2","doi-asserted-by":"crossref","unstructured":"Nitin Rane. 2023. Integrating leading-edge artificial intelligence (AI) internet of things (IOT) and big data technologies for smart and sustainable architecture engineering and construction (AEC) industry: Challenges and future directions. Engineering and Construction (AEC) Industry: Challenges and Future Directions (September 24 2023) (2023).","DOI":"10.2139\/ssrn.4616049"},{"key":"e_1_3_3_2_41_2","doi-asserted-by":"crossref","unstructured":"Daniel Richards David Worden Xiao\u00a0Ping Song and Sandra Lavorel. 2024. Harnessing generative artificial intelligence to support nature-based solutions. People and Nature 6 2 (2024) 882\u2013893.","DOI":"10.1002\/pan3.10622"},{"key":"e_1_3_3_2_42_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-47215-2_1"},{"key":"e_1_3_3_2_43_2","unstructured":"David\u00a0Christian Rose Connor Keating and Carol Morris. 2018. Understanding how to influence farmers\u2019 decision-making behaviour: a social science literature review. (2018)."},{"key":"e_1_3_3_2_44_2","unstructured":"Cathal Ryan Christophe Gu\u00e9ret Donagh Berry Medb Corcoran Mark\u00a0T Keane and Brian Mac\u00a0Namee. 2021. Predicting illness for a sustainable dairy agriculture: predicting and explaining the onset of mastitis in dairy cows. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2101.02188 (2021)."},{"key":"e_1_3_3_2_45_2","doi-asserted-by":"crossref","unstructured":"Sofia Sch\u00f6bel Anuschka Schmitt Dennis Benner Mohammed Saqr Andreas Janson and Jan\u00a0Marco Leimeister. 2023. Charting the evolution and future of conversational agents: A research agenda along five waves and new frontiers. Information Systems Frontiers (2023) 1\u201326.","DOI":"10.1007\/s10796-023-10375-9"},{"key":"e_1_3_3_2_46_2","doi-asserted-by":"crossref","unstructured":"Mohsen Soori Fooad Karimi\u00a0Ghaleh Jough Roza Dastres and Behrooz Arezoo. 2024. AI-Based Decision Support Systems in Industry 4.0 A Review. Journal of Economy and Technology (2024).","DOI":"10.1016\/j.ject.2024.08.005"},{"key":"e_1_3_3_2_47_2","doi-asserted-by":"crossref","unstructured":"Jonathan Steinke Berta Ortiz-Crespo Jacob van Etten and Anna M\u00fcller. 2022. Participatory design of digital innovation in agricultural research-for-development: insights from practice. Agricultural Systems 195 (2022) 103313.","DOI":"10.1016\/j.agsy.2021.103313"},{"key":"e_1_3_3_2_48_2","doi-asserted-by":"publisher","DOI":"10.1145\/3322276.3322382"},{"key":"e_1_3_3_2_49_2","unstructured":"Jiayin Wang Weizhi Ma Peijie Sun Min Zhang and Jian-Yun Nie. 2024. Understanding User Experience in Large Language Model Interactions. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2401.08329 (2024)."},{"key":"e_1_3_3_2_50_2","unstructured":"Yiqi Wang Wentao Chen Xiaotian Han Xudong Lin Haiteng Zhao Yongfei Liu Bohan Zhai Jianbo Yuan Quanzeng You and Hongxia Yang. 2024. Exploring the reasoning abilities of multimodal large language models (mllms): A comprehensive survey on emerging trends in multimodal reasoning. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2401.06805 (2024)."},{"key":"e_1_3_3_2_51_2","volume-title":"Forum qualitative sozialforschung\/Forum: qualitative social research","author":"Welsh Elaine","year":"2002","unstructured":"Elaine Welsh et\u00a0al. 2002. Dealing with data: Using NVivo in the qualitative data analysis process. In Forum qualitative sozialforschung\/Forum: qualitative social research , Vol.\u00a03."},{"key":"e_1_3_3_2_52_2","doi-asserted-by":"crossref","unstructured":"Sjaak Wolfert Lan Ge Cor Verdouw and Marc-Jeroen Bogaardt. 2017. Big data in smart farming\u2013a review. Agricultural systems 153 (2017) 69\u201380.","DOI":"10.1016\/j.agsy.2017.01.023"},{"key":"e_1_3_3_2_53_2","doi-asserted-by":"crossref","unstructured":"Sjaak Wolfert Cor Verdouw Lan van Wassenaer Wilfred Dolfsma and Laurens Klerkx. 2023. Digital innovation ecosystems in agri-food: design principles and organizational framework. Agricultural Systems 204 (2023) 103558.","DOI":"10.1016\/j.agsy.2022.103558"},{"key":"e_1_3_3_2_54_2","doi-asserted-by":"crossref","unstructured":"DB\u00a0Mamehgol Yousefi AS\u00a0Mohd Rafie SAR Al-Haddad and Syaril Azrad. 2022. A systematic literature review on the use of deep learning in precision livestock detection and localization using unmanned aerial vehicles. Ieee Access 10 (2022) 80071\u201380091.","DOI":"10.1109\/ACCESS.2022.3194507"},{"key":"e_1_3_3_2_55_2","doi-asserted-by":"crossref","unstructured":"Mamehgol Yousefi Stephanie\u00a0Elena Crowe Simon Hoermann Mos Sharifi Alvaro Romera Ahmad Shahi and Thammathip Piumsomboon. 2024. Advancing prosociality in extended reality: systematic review of the use of embodied virtual agents to trigger prosocial behaviour in extended reality. Frontiers in Virtual Reality 5 (2024) 1386460.","DOI":"10.3389\/frvir.2024.1386460"},{"key":"e_1_3_3_2_56_2","doi-asserted-by":"crossref","unstructured":"Zhenyuan Zhang Bin Li and Luning Liu. 2023. The impact of AI-based conversational agent on the firms\u2019 operational performance: Empirical evidence from a call center. Applied Artificial Intelligence 37 1 (2023) 2157592.","DOI":"10.1080\/08839514.2022.2157592"},{"key":"e_1_3_3_2_57_2","unstructured":"Hongyan Zhu Shuai Qin Min Su Chengzhi Lin Anjie Li and Junfeng Gao. 2024. Harnessing Large Vision and Language Models in Agriculture: A Review. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2407.19679 (2024)."}],"event":{"name":"OzCHI '24: 36th Australasian Conference on Human-Computer Interaction","location":"Meanjin | Brisbane Australia","acronym":"OzCHI '24"},"container-title":["Proceedings of the 36th Australasian Conference on Human-Computer Interaction"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3726986.3727902","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T16:29:38Z","timestamp":1759163378000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3726986.3727902"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,30]]},"references-count":56,"alternative-id":["10.1145\/3726986.3727902","10.1145\/3726986"],"URL":"https:\/\/doi.org\/10.1145\/3726986.3727902","relation":{},"subject":[],"published":{"date-parts":[[2024,11,30]]},"assertion":[{"value":"2025-09-29","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}