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Experience Maps: Experience-Enhanced Routes for Car Navigation

Published: 17 September 2014 Publication History

Abstract

People spend a considerable time per day driving a car. Navigation technology helps the driver to find a location, to see traffic details, or to estimate the arrival time. Selecting a certain route influences the driving experience (i.e., the user experience while driving) through factors such as traffic density, landscape, or road type. However, current navigation systems mainly optimize routes regarding time, distance, or fuel efficiency--neglecting important driving experience factors: The fastest route might still be packed with traffic which stresses drivers or negatively influence their mood. In contrast, a slightly slower route could for instance offer a better driving experience with less traffic and scenic views. In this paper, we propose a concept that allows for experience-optimized routing to make driving more joyful and pleasurable. We also present the results of a web survey with 114 participants that we conducted to explore the users' preferences and opinions regarding taking the experience into account for route guidance.

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Cited By

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  • (2023)PureNav: A Personalized Navigation Service for Environmental Justice Communities Impacted by Planned DisruptionsProceedings of the International Conference on Advances in Social Networks Analysis and Mining10.1145/3625007.3627512(56-63)Online publication date: 6-Nov-2023
  • (2022)Nudges-Based Design Method for Adaptive HMI to Improve Driving SafetySafety10.3390/safety80300638:3(63)Online publication date: 5-Sep-2022
  • (2021)Exploratory Breaks: A User Interface that Encourages Car Drivers to Take Valuable Breaks13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3473682.3480272(97-101)Online publication date: 9-Sep-2021
  • Show More Cited By

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  1. Experience Maps: Experience-Enhanced Routes for Car Navigation

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    cover image ACM Other conferences
    AutomotiveUI '14: Adjunct Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
    September 2014
    271 pages
    ISBN:9781450307253
    DOI:10.1145/2667239
    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].

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    Publication History

    Published: 17 September 2014

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    Author Tags

    1. Automotive user interfaces
    2. car navigation
    3. driving experience
    4. route guidance
    5. user experience

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    Overall Acceptance Rate 248 of 566 submissions, 44%

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    Cited By

    View all
    • (2023)PureNav: A Personalized Navigation Service for Environmental Justice Communities Impacted by Planned DisruptionsProceedings of the International Conference on Advances in Social Networks Analysis and Mining10.1145/3625007.3627512(56-63)Online publication date: 6-Nov-2023
    • (2022)Nudges-Based Design Method for Adaptive HMI to Improve Driving SafetySafety10.3390/safety80300638:3(63)Online publication date: 5-Sep-2022
    • (2021)Exploratory Breaks: A User Interface that Encourages Car Drivers to Take Valuable Breaks13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3473682.3480272(97-101)Online publication date: 9-Sep-2021
    • (2021)Affective Automotive User Interfaces–Reviewing the State of Driver Affect Research and Emotion Regulation in the CarACM Computing Surveys10.1145/346093854:7(1-26)Online publication date: 17-Sep-2021
    • (2021)Quantified Cycling Safety: Towards a Mobile Sensing Platform to Understand Perceived Safety of CyclistsExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451678(1-6)Online publication date: 8-May-2021
    • (2020)What If Your Car Would Care? Exploring Use Cases For Affective Automotive User Interfaces22nd International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3379503.3403530(1-12)Online publication date: 5-Oct-2020
    • (2020)Are Two Heads Better than One? Exploring Two-Party Conversations for Car Navigation Voice GuidanceExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3382818(1-9)Online publication date: 25-Apr-2020
    • (2019)Improving Driver Emotions with Affective StrategiesMultimodal Technologies and Interaction10.3390/mti30100213:1(21)Online publication date: 25-Mar-2019
    • (2019)Exploring Factors that Influence Connected Drivers to (Not) Use or Follow Recommended Optimal RoutesProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300601(1-14)Online publication date: 2-May-2019
    • (2018)A Survey to Understand Emotional Situations on the Road and What They Mean for Affective Automotive UIsMultimodal Technologies and Interaction10.3390/mti20400752:4(75)Online publication date: 25-Oct-2018

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