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A framework to enhance the user experience of car mobile applications

Published: 03 September 2018 Publication History

Abstract

We describe the rationale, the design and development of an iOS framework to enhance the end user experience of car-related apps. The car framework fuses the smartphone sensors' raw data to detect user behaviour and car events, and provides relevant and timely information that an app can use to relief the user from manually inputting data and to foster implicit interaction. Thus, app developers can focus on user needs and UX rather than on code complexity. We show how detected events map common needs of car-related apps.

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Cited By

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  • (2023)Unobtrusive interaction: a systematic literature review and expert surveyHuman–Computer Interaction10.1080/07370024.2022.216240439:5-6(380-416)Online publication date: Feb-2023
  • (2022)Implicit Interaction Approach for Car-related Tasks On Smartphone ApplicationsProceedings of the 2022 International Conference on Advanced Visual Interfaces10.1145/3531073.3531173(1-5)Online publication date: 6-Jun-2022
  • (2021)ML Classification of Car Parking with Implicit Interaction on the Driver’s SmartphoneHuman-Computer Interaction – INTERACT 202110.1007/978-3-030-85613-7_21(291-299)Online publication date: 26-Aug-2021

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cover image ACM Conferences
MobileHCI '18: Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct
September 2018
445 pages
ISBN:9781450359412
DOI:10.1145/3236112
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: 03 September 2018

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Author Tags

  1. app
  2. car
  3. framework
  4. parking
  5. sensors
  6. smartphone

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Overall Acceptance Rate 202 of 906 submissions, 22%

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Cited By

View all
  • (2023)Unobtrusive interaction: a systematic literature review and expert surveyHuman–Computer Interaction10.1080/07370024.2022.216240439:5-6(380-416)Online publication date: Feb-2023
  • (2022)Implicit Interaction Approach for Car-related Tasks On Smartphone ApplicationsProceedings of the 2022 International Conference on Advanced Visual Interfaces10.1145/3531073.3531173(1-5)Online publication date: 6-Jun-2022
  • (2021)ML Classification of Car Parking with Implicit Interaction on the Driver’s SmartphoneHuman-Computer Interaction – INTERACT 202110.1007/978-3-030-85613-7_21(291-299)Online publication date: 26-Aug-2021

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