IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i14p11102-d1195477.html
   My bibliography  Save this article

Integration with Visual Perception—Research on the Usability of a Data Visualization Interface Layout in Zero-Carbon Parks Based on Eye-Tracking Technology

Author

Listed:
  • Guangxu Li

    (School of Design and Art, Lanzhou University of Technology, Lanzhou 730050, China)

  • Lingyu Wang

    (School of Design, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Jie Hu

    (School of Design, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

With the continued application of data visualization technology in sustainable development, the construction of carbon emission monitoring platforms is becoming increasingly popular in industrial parks. However, there are many kinds of such interfaces, the usability of which remains unclear. Therefore, in order to explore the usability of current carbon emission visualization interfaces in parks and put forward humanized optimization strategies for their subsequent design, this study used eye-tracking technology to analyze the data readability of six types of layouts from three aspects of visual perception features: integrity, understandability, and selectivity. Quantitative data from eye movement experiments and visual perception characteristics were evaluated using a Likert scale in an analysis of different layouts, and the correlation data between three visual perception characteristics and the readability of different layout data were obtained using an SPSS tool. The results show that, compared with a layout containing 3D graphics, the pure data type of interface has a shorter task completion time and higher readability; however, it provides fewer choices for users and is less interesting. In addition, there is a significant negative correlation between integrity and task completion time; the more complete the interface layout, the shorter the task completion time. In summary, a certain correlation was found between visual perception characteristics and the readability of interface layout using this method. At the same time, the advantages and disadvantages of different interface layouts were also analyzed, and more humanized optimization directions and strategies were devised. This is vital for aiding subsequent research on the influence of specific layout elements to optimize visualization interfaces that display carbon emission data.

Suggested Citation

  • Guangxu Li & Lingyu Wang & Jie Hu, 2023. "Integration with Visual Perception—Research on the Usability of a Data Visualization Interface Layout in Zero-Carbon Parks Based on Eye-Tracking Technology," Sustainability, MDPI, vol. 15(14), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11102-:d:1195477
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/14/11102/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/14/11102/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hsu, Chia-Yu & Yang, Chin-Sheng & Yu, Liang-Chih & Lin, Chi-Fang & Yao, Hsiu-Hsen & Chen, Duan-Yu & Robert Lai, K. & Chang, Pei-Chann, 2015. "Development of a cloud-based service framework for energy conservation in a sustainable intelligent transportation system," International Journal of Production Economics, Elsevier, vol. 164(C), pages 454-461.
    2. Nilsson, Anders & Stoll, Pia & Brandt, Nils, 2017. "Assessing the impact of real-time price visualization on residential electricity consumption, costs, and carbon emissions," Resources, Conservation & Recycling, Elsevier, vol. 124(C), pages 152-161.
    3. Bigne, Enrique & Chatzipanagiotou, Kalliopi & Ruiz, Carla, 2020. "Pictorial content, sequence of conflicting online reviews and consumer decision-making: The stimulus-organism-response model revisited," Journal of Business Research, Elsevier, vol. 115(C), pages 403-416.
    4. Xu, Jiuping & Liu, Tingting, 2020. "Technological paradigm-based approaches towards challenges and policy shifts for sustainable wind energy development," Energy Policy, Elsevier, vol. 142(C).
    5. Jiman Park & Byungyun Yang, 2020. "GIS-Enabled Digital Twin System for Sustainable Evaluation of Carbon Emissions: A Case Study of Jeonju City, South Korea," Sustainability, MDPI, vol. 12(21), pages 1-21, November.
    6. Ruiyuan Kang & Panos Liatsis & Dimitrios C. Kyritsis, 2022. "Emission Quantification via Passive Infrared Optical Gas Imaging: A Review," Energies, MDPI, vol. 15(9), pages 1-32, April.
    7. Vulic, Natasa & Rüdisüli, Martin & Orehounig, Kristina, 2023. "Evaluating energy flexibility requirements for high shares of variable renewable energy: A heuristic approach," Energy, Elsevier, vol. 270(C).
    8. Xirui Li & Junqi Tang & Weidong Li & Qingmin Si & Xinyao Guo & Linqing Niu, 2023. "A Bibliometric Analysis and Visualization of Aviation Carbon Emissions Studies," Sustainability, MDPI, vol. 15(5), pages 1-20, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xie, Yunkun & Li, Yangyang & Zhao, Zhichao & Dong, Hao & Wang, Shuqian & Liu, Jingping & Guan, Jinhuan & Duan, Xiongbo, 2020. "Microsimulation of electric vehicle energy consumption and driving range," Applied Energy, Elsevier, vol. 267(C).
    2. Wei-Ching Wang & Chung-Hsien Lin, 2024. "Exploring the Importance of Destination Attributes of Sustainable Urban Waterfronts: Text and Data Mining of Tourists’ Online Reviews," Sustainability, MDPI, vol. 16(6), pages 1-17, March.
    3. Aleksandr Kulikov & Pavel Ilyushin & Anton Loskutov & Konstantin Suslov & Sergey Filippov, 2022. "WSPRT Methods for Improving Power System Automation Devices in the Conditions of Distributed Generation Sources Operation," Energies, MDPI, vol. 15(22), pages 1-20, November.
    4. Al-Adwan, Ahmad Samed & Al-Debei, Mutaz M. & Dwivedi, Yogesh K., 2022. "E-commerce in high uncertainty avoidance cultures: The driving forces of repurchase and word-of-mouth intentions," Technology in Society, Elsevier, vol. 71(C).
    5. Daniel A. Sanchez-Loor & Wei-Shiun Chang, 2023. "Experimental study of the effects of structural assurance, personal experiences, and product reviews on repurchase behavior in e-commerce platforms," Electronic Commerce Research, Springer, vol. 23(3), pages 1971-2010, September.
    6. Bartikowski, Boris & Richard, Marie-Odile & Gierl, Heribert, 2023. "Fit or misfit of culture in marketing communication? Development of the culture-ladenness fit index," Journal of Business Research, Elsevier, vol. 167(C).
    7. Alnawas, Ibrahim & Al Khateeb, Amr & El Hedhli, Kamel, 2023. "The effects of app-related factors on app stickiness: The role of cognitive and emotional app relationship quality," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    8. Zhang, Mingyue & Zhao, Haichuan & Chen, Haipeng (Allan), 2022. "How much is a picture worth? Online review picture background and its impact on purchase intention," Journal of Business Research, Elsevier, vol. 139(C), pages 134-144.
    9. Delmaria Richards & Helmut Yabar & Takeshi Mizunoya, 2022. "Spatial Mapping of Jamaica’s High-Resolution Wind Atlas: An Environmental-Sociotechnical Account," Sustainability, MDPI, vol. 14(19), pages 1-25, September.
    10. Yi Yong Lee & Chin Lay Gan & Tze Wei Liew, 2023. "Do E-wallets trigger impulse purchases? An analysis of Malaysian Gen-Y and Gen-Z consumers," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(2), pages 244-261, June.
    11. Ibrahim Alsaidan & Mohd Bilal & Muhannad Alaraj & Mohammad Rizwan & Fahad M. Almasoudi, 2023. "A Novel EA-Based Techno–Economic Analysis of Charging System for Electric Vehicles: A Case Study of Qassim Region, Saudi Arabia," Mathematics, MDPI, vol. 11(9), pages 1-31, April.
    12. Baxter Williams & Daniel Bishop & Patricio Gallardo & J. Geoffrey Chase, 2023. "Demand Side Management in Industrial, Commercial, and Residential Sectors: A Review of Constraints and Considerations," Energies, MDPI, vol. 16(13), pages 1-28, July.
    13. Li, Yangyang & Duan, Xiongbo & Fu, Jianqin & Liu, Jingping & Wang, Shuqian & Dong, Hao & Xie, Yunkun, 2019. "Development of a method for on-board measurement of instant engine torque and fuel consumption rate based on direct signal measurement and RGF modelling under vehicle transient operating conditions," Energy, Elsevier, vol. 189(C).
    14. Prateep Puengwattanapong & Adisorn Leelasantitham, 2022. "A Holistic Perspective Model of Plenary Online Consumer Behaviors for Sustainable Guidelines of the Electronic Business Platforms," Sustainability, MDPI, vol. 14(10), pages 1-38, May.
    15. Wojciech Paprocki, 2021. "Virtual Airport Hub—A New Business Model to Reduce GHG Emissions in Continental Air Transport," Sustainability, MDPI, vol. 13(9), pages 1-19, April.
    16. Kumar, Sushant & Dhir, Amandeep & Talwar, Shalini & Chakraborty, Debarun & Kaur, Puneet, 2021. "What drives brand love for natural products? The moderating role of household size," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    17. Zhou, Shuang & Blazquez, Marta & McCormick, Helen & Barnes, Liz, 2021. "How social media influencers’ narrative strategies benefit cultivating influencer marketing: Tackling issues of cultural barriers, commercialised content, and sponsorship disclosure," Journal of Business Research, Elsevier, vol. 134(C), pages 122-142.
    18. Walch, Alina & Rüdisüli, Martin, 2023. "Strategic PV expansion and its impact on regional electricity self-sufficiency: Case study of Switzerland," Applied Energy, Elsevier, vol. 346(C).
    19. Ali, Mazhar & Amir, Dr.Huma & Shamsi, Dr.Aamir, 2021. "Consumer Herding Behavior in Online Buying: A Literature Review," MPRA Paper 107435, University Library of Munich, Germany.
    20. Kumar, Sushant & Talwar, Shalini & Krishnan, Satish & Kaur, Puneet & Dhir, Amandeep, 2021. "Purchasing natural personal care products in the era of fake news? The moderation effect of brand trust," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11102-:d:1195477. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.