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laTAPE: Location-Aware Programming and Executing Trigger-Action Rules

Published: 24 July 2024 Publication History
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  • Abstract

    Trigger-Action Programming (TAP) is a popular end-user programming paradigm for constructing automation applications to orchestrate smart device collaboration. Existing TAP platforms employ a device-centric approach to programming and executing TAP rules, which suffers limited flexibility and reusability when a same automation requirement is effective in different location. To this end, we develop a tool named laTAPE to support location-aware trigger-action programming and executing. laTAPE supports users to specify triggers, condition states and actions involving locations which refer to either runtime user location or a predefined location. During runtime, laTAPE achieves the rule execution by leveraging corresponding environment devices determined by the user location obtained from smartphone. Our evaluation on real-world case study demonstrates usability and feasibility of laTAPE in rule programming and executing.

    References

    [1]
    Carmelo Ardito, Paolo Buono, Giuseppe Desolda, and Maristella Matera. 2018. From smart objects to smart experiences: An end-user development approach. International Journal of Human-Computer Studies 114 (2018), 51–68.
    [2]
    [2] Home Assistant. 2024. https://www.home-assistant.io/. (2024).
    [3]
    Giuseppe Ghiani, Marco Manca, Fabio Paternò, and Carmen Santoro. 2017. Personalization of context-dependent applications through trigger-action rules. ACM Transactions on Computer-Human Interaction (TOCHI) 24, 2 (2017), 1–33.
    [4]
    [4] IFTTT. 2024. https://ifttt.com/. (2024).
    [5]
    Nicola Leonardi, Marco Manca, Fabio Paternò, and Carmen Santoro. 2019. Trigger-action programming for personalising humanoid robot behaviour. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1–13.
    [6]
    Liwei Liu, Wei Chen, Tao Wang, Wei Wang, Guoquan Wu, and Jun Wei. 2023. Generating Scenario-Centric TAP Rules for Smart Homes by Mining Historical Event Logs. In 2023 IEEE International Conference on Web Services (ICWS). IEEE, 21–27.
    [7]
    Xianghang Mi, Feng Qian, Ying Zhang, and XiaoFeng Wang. 2017. An empirical characterization of IFTTT: ecosystem, usage, and performance. In Proceedings of the 2017 Internet Measurement Conference. 398–404.
    [8]
    Roberto Reda, Antonella Carbonaro, Victor de Boer, Ronald Siebes, Roderick van der Weerdt, Barry Nouwt, and Laura Daniele. 2022. Supporting smart home scenarios using OWL and SWRL rules. Sensors 22, 11 (2022), 4131.
    [9]
    [9] Roger S. Scowen. 1998. Extended BNF— A generic base standard. (1998).
    [10]
    Bingkun Sun, Liwei Shen, Xin Peng, and Ziming Wang. 2023. SCTAP: Supporting Scenario-Centric Trigger-Action Programming based on Software-Defined Physical Environments. Proceedings of the ACM Web Conference 2023 (2023). https://api.semanticscholar.org/CorpusID:258333767
    [11]
    [11] Zapier. 2024. https://help.zapier.com/. (2024).

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    1. laTAPE: Location-Aware Programming and Executing Trigger-Action Rules

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      cover image ACM Conferences
      Internetware '24: Proceedings of the 15th Asia-Pacific Symposium on Internetware
      July 2024
      518 pages
      ISBN:9798400707056
      DOI:10.1145/3671016
      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Publication History

      Published: 24 July 2024

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      Author Tags

      1. Software Defined
      2. Trigger Action Programming
      3. Web of Things

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      • National Key R&D Program of China

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      Internetware 2024
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      Overall Acceptance Rate 55 of 111 submissions, 50%

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