Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3638380.3638403acmotherconferencesArticle/Chapter ViewAbstractPublication PagesozchiConference Proceedingsconference-collections
short-paper

Investigating the dependability of Weather Forecast Application: A Netnographic study

Published: 10 May 2024 Publication History

Abstract

Weather forecast applications (WFAs) inform smartphone users about what is expected next as the weather changes. However, users’ dependence on the weather forecast application for decision making is unknown. Studies exist that investigated the features, functionalities and limitations of weather forecast applications, but none has explored if the WFAs users really depend on them for their day to day decision making purpose. To cover this gap, we examined 73 UK-based WFAs users for 32 days, to find out their WFAs decision making experiences and concerns, using netnographic method, which led to some design implications that will improve future WFAs design. This study reveals some relevant WFAs design implications, suggestions for improvements and contributes to the infant netnographic method which has tremendous potentials for Human Computer Interaction research.

References

[1]
Saleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, and Torsten Hoefler. 2022. ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts. Advances in Neural Information Processing Systems 35 (2022), 21974–21987.
[2]
Harold E Brooks and James Correia Jr. 2018. Long-term performance metrics for National Weather Service tornado warnings. Weather and Forecasting 33, 6 (2018), 1501–1511.
[3]
I-Ching Chen and Shueh-Cheng Hu. 2019. Realizing specific weather forecast through machine learning enabled prediction model. In Proceedings Of The 2019 3rd High Performance Computing And Cluster Technologies Conference. 71–74.
[4]
Zikun Chen, Roshan Lalintha Peiris, and Kouta Minamizawa. 2017. A thermally enhanced weather checking system in VR. In Adjunct Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology. 123–125.
[5]
Paul Dourish. 2006. Implications for design. In Proceedings of the SIGCHI conference on Human Factors in computing systems. 541–550.
[6]
Shiheng Duan and Xiurui Zhang. 2022. Automl-based drought forecast with meteorological variables. arXiv preprint arXiv:2207.07012 (2022).
[7]
Florian Echtler and Raphael Wimmer. 2014. The interactive dining table, or pass the weather widget, please. In Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces. 419–422.
[8]
Juliet Gwenzi, Emmanuel Mashonjowa, Paramu L Mafongoya, Donald T Rwasoka, and Kees Stigter. 2016. The use of indigenous knowledge systems for short and long range rainfall prediction and farmers’ perceptions of science-based seasonal forecasts in Zimbabwe. International Journal of Climate Change Strategies and Management 8, 3 (2016), 440–462.
[9]
Muki Haklay. 2012. Citizen science and volunteered geographic information: Overview and typology of participation. Crowdsourcing geographic knowledge: Volunteered geographic information (VGI) in theory and practice (2012), 105–122.
[10]
James W Hansen, Catherine Vaughan, Desire M Kagabo, Tufa Dinku, Edward R Carr, Jana Körner, and Robert B Zougmoré. 2019. Climate services can support african farmers’ context-specific adaptation needs at scale. Frontiers in Sustainable Food Systems 3 (2019), 21.
[11]
Idyawati Hussein, Murni Mahmud, and Nor Laila Md Noor. 2016. Netnography approach for UX research. In Proceedings of the 2nd International Conference in HCI and UX Indonesia 2016. 120–124.
[12]
Fahad Idrees, Amna Batool, and Junaid Qadir. 2017. Weather forecast information dissemination design for low-literate farmers: An exploratory study. In Proceedings of the Ninth International Conference on Information and Communication Technologies and Development. 1–5.
[13]
Klaus M Janowitz. 2010. Netnography. Doing ethnographic research online: Standards zur Online-Feldforschung. SSOAR, Sage Publications (2010).
[14]
Zachary Kaiser. 2023. Interfaces and Us: User Experience Design and the Making of the Computable Subject. Bloomsbury Publishing.
[15]
Jonathan Lazar, Jinjuan Heidi Feng, and Harry Hochheiser. 2017. Research methods in human-computer interaction. Morgan Kaufmann.
[16]
Jie Li, Manu Suvarna, Lanyu Li, Lanjia Pan, Javier Pérez-Ramírez, Yong Sik Ok, and Xiaonan Wang. 2022. A review of computational modeling techniques for wet waste valorization: Research trends and future perspectives. Journal of Cleaner Production (2022), 133025.
[17]
Chih-Lun Liu, Alexis K Kaminski, and William D Smyth. 2022. The butterfly effect and the transition to turbulence in a stratified shear layer. Journal of Fluid Mechanics 953 (2022), A43.
[18]
Nina S Oakley and Britta Daudert. 2016. Establishing best practices to improve usefulness and usability of web interfaces providing atmospheric data. Bulletin of the American Meteorological Society 97, 2 (2016), 263–274.
[19]
Otuu Obinna Ogbonnia and Eneasator Chiamaka. 2020. Social Media Network and the Moral Decadence of the African Child; Consequences and Control.African Scholar Publications & Research International (2020).
[20]
Muhammad Qasim, Haris Bin Zia, Awais Athar, Tania Habib, and Agha Ali Raza. 2021. Personalized weather information for low-literate farmers using multimodal dialog systems. International Journal of Speech Technology 24 (2021), 455–471.
[21]
Xiaoli Ren, Xiaoyong Li, Kaijun Ren, Junqiang Song, Zichen Xu, Kefeng Deng, and Xiang Wang. 2021. Deep learning-based weather prediction: a survey. Big Data Research 23 (2021), 100178.
[22]
Rebecca Sarku, Talardia Gbangou, Art Dewulf, and Erik van Slobbe. 2020. Beyond “Expert Knowledge”: Locals and experts in a joint production of weather app and weather information for farming in the Volta Delta, Ghana. Handbook of Climate Change Management: Research, Leadership, Transformation (2020), 1–38.
[23]
Günther Schuh, Till Potente, and Annika Hauptvogel. 2014. Methodology for the evaluation of forecast reliability of production planning systems. Procedia Cirp 17 (2014), 469–474.
[24]
Brianna J Tomlinson, Jonathan H Schuett, Woodbury Shortridge, Jehoshaph Chandran, and Bruce N Walker. 2016. Talkin’about the weather: incorporating TalkBack functionality and sonifications for accessible app design. In Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services. 377–386.
[25]
Catho Van Den Bosch, Nikki Peeters, and Sandy Claes. 2022. More Weather Tomorrow. Engaging Families with Data through a Personalised Weather Forecast. In ACM International Conference on Interactive Media Experiences. 1–10.
[26]
Sukrit Venkatagiri, Aakash Gautam, and Kurt Luther. 2021. Crowdsolve: Managing tensions in an expert-led crowdsourced investigation. Proceedings of the ACM on Human-Computer Interaction 5, CSCW1 (2021), 1–30.
[27]
Katie A Wilson, Jessica J Choate, Adam J Clark, Burkely T Gallo, Pamela L Heinselman, Kent H Knopfmeier, Brett Roberts, Patrick S Skinner, and Nusrat Yussouf. 2019. Exploring Applications of Storm-Scale Probabilistic Warn-on-Forecast Guidance in Weather Forecasting. In Virtual, Augmented and Mixed Reality. Applications and Case Studies: 11th International Conference, VAMR 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings, Part II 21. Springer, 557–572.
[28]
Max L Wilson, Wendy Mackay, Ed Chi, Michael Bernstein, Dan Russell, and Harold Thimbleby. 2011. RepliCHI-CHI should be replicating and validating results more: discuss. In CHI’11 Extended Abstracts on Human Factors in Computing Systems. ACM, 463–466.
[29]
Ben Wisner. 2004. At risk: natural hazards, people’s vulnerability and disasters. Psychology Press.
[30]
Lianqing Yu, Yong Li, and Zhiming Kang. 2019. Design and Implementation of Medium-Range Weather Forecast Operational System. In Proceedings of the 3rd International Conference on Computer Science and Application Engineering. 1–6.

Cited By

View all
  • (2024)Understanding Technological needs of Nigerians towards community policing engagement: An interview-based studyAdjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction10.1145/3640471.3680228(1-6)Online publication date: 21-Sep-2024

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
OzCHI '23: Proceedings of the 35th Australian Computer-Human Interaction Conference
December 2023
733 pages
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 May 2024

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Information
  2. Netnographic method
  3. Understandability
  4. Users
  5. Weather Forecast

Qualifiers

  • Short-paper
  • Research
  • Refereed limited

Conference

OzCHI 2023
OzCHI 2023: OzCHI 2023
December 2 - 6, 2023
Wellington, New Zealand

Acceptance Rates

Overall Acceptance Rate 362 of 729 submissions, 50%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)22
  • Downloads (Last 6 weeks)3
Reflects downloads up to 04 Oct 2024

Other Metrics

Citations

Cited By

View all
  • (2024)Understanding Technological needs of Nigerians towards community policing engagement: An interview-based studyAdjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction10.1145/3640471.3680228(1-6)Online publication date: 21-Sep-2024

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media