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Open access

Implicit Interaction Approach for Car-related Tasks On Smartphone Applications

Authors:

Emanuele Panizzi,

Stefano ZeppieriAuthors Info & Claims

AVI '22: Proceedings of the 2022 International Conference on Advanced Visual Interfaces

Article No.: 39, Pages 1 - 5

https://doi.org/10.1145/3531073.3531173

Published: 06 June 2022 Publication History

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Abstract

This work proposes an implicit interaction approach to ease implementing basic car-related tasks on a smartphone application. Many car drivers use apps on their smartphones to get support in typical tasks related to car usage, yet some of the available apps have a poor user experience because they require the user’s attention, causing a distraction while driving. In addition, they often rely on users inputting relevant data repetitively. Implicit interaction is a possible solution to improve the user experience of car-related interfaces. Basic user tasks for many car applications are (i) reporting parking the car in a specific position, (ii) declaring that the user will soon free a parking spot, and (iii) that a new trip with the car has begun (thus, that a parking spot became free). The proposed context-aware interaction approach to executing these tasks is described together with its implementation in an application that leverages the smartphone’s sensing capability of users’ locations and motion activities and merges them to infer parking and unparking events.

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Cited By

Bisante ADix APanizzi EZeppieri S(2023)To err is AIProceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter10.1145/3605390.3605414(1-11)Online publication date: 20-Sep-2023
https://dl.acm.org/doi/10.1145/3605390.3605414
Dix AMayer SPalanque PPanizzi ESpano L(2023)Engineering Interactive Systems Embedding AI TechnologiesCompanion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems10.1145/3596454.3597195(90-92)Online publication date: 27-Jun-2023
https://dl.acm.org/doi/10.1145/3596454.3597195
Bisante A(2023)New generation Car Navigation Systems enhancing Human-Computer Interaction and exploiting sensors and machine learning on the smartphoneCompanion Proceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581754.3584113(237-239)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581754.3584113
Show More Cited By

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Information & Contributors

Information

Published In

cover image ACM Other conferences

AVI '22: Proceedings of the 2022 International Conference on Advanced Visual Interfaces

June 2022

414 pages

ISBN:9781450397193

DOI:10.1145/3531073

General Chair:
Paolo Bottoni
Sapienza University of Rome, Italy
,
Program Chair:
Emanuele Panizzi
Sapienza University of Rome, Italy

Copyright © 2022 ACM.

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 ACM 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]

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New York, NY, United States

Publication History

Published: 06 June 2022

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Short-paper
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Refereed limited

Funding Sources

Ministero dell'Università e della Ricerca
Sapienza University of Rome

Conference

AVI 2022

AVI 2022: International Conference on Advanced Visual Interfaces

June 6 - 10, 2022

Frascati, Rome, Italy

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Overall Acceptance Rate 128 of 490 submissions, 26%

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Cited By

Bisante ADix APanizzi EZeppieri S(2023)To err is AIProceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter10.1145/3605390.3605414(1-11)Online publication date: 20-Sep-2023
https://dl.acm.org/doi/10.1145/3605390.3605414
Dix AMayer SPalanque PPanizzi ESpano L(2023)Engineering Interactive Systems Embedding AI TechnologiesCompanion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems10.1145/3596454.3597195(90-92)Online publication date: 27-Jun-2023
https://dl.acm.org/doi/10.1145/3596454.3597195
Bisante A(2023)New generation Car Navigation Systems enhancing Human-Computer Interaction and exploiting sensors and machine learning on the smartphoneCompanion Proceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581754.3584113(237-239)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581754.3584113
Bisante APanizzi EZeppieri S(2023)Cruising-for-Parking Detection on the Smartphone Based on Implicit Interaction and Machine LearningProceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3580585.3607162(93-102)Online publication date: 18-Sep-2023
https://dl.acm.org/doi/10.1145/3580585.3607162
Bisante ADatla VTrasciatti GZeppieri SPanizzi E(2023)An Approach to Leverage Artificial Intelligence for Car-Parking Related Mobile ApplicationsEngineering Interactive Computer Systems. EICS 2023 International Workshops and Doctoral Consortium10.1007/978-3-031-59235-5_7(63-71)Online publication date: 27-Jun-2023
https://dl.acm.org/doi/10.1007/978-3-031-59235-5_7

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