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eMotion: retrospective in-car user experience evaluation

Published: 01 September 2015 Publication History

Abstract

Well-established self-reporting methods in HCI such as the Experience Sampling Method (ESM) prove rather limited for sampling in-car experiences, as they distract the driver from the primary task of driving. In this work we present eMotion, a mobile application that provides a lightweight alternative to Experience Sampling. eMotion uses the front and back facing cameras of a mobile device with the goal of unobtrusively capturing drivers' facial expressions along with 10-sec videos of the outside landscape, the location, and the speed of the car at the moment of sampling. All these logs are later presented to the user with the goal of helping her recall her experience (e.g. experienced stress) at that moment. We report on the design of eMotion as well as a study design, with which we will try to assess the validity of the elicited data.

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Cited By

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  • (2020)Gaze-Head Input: Examining Potential Interaction with Immediate Experience Sampling in an Autonomous VehicleApplied Sciences10.3390/app1024901110:24(9011)Online publication date: 17-Dec-2020
  • (2019)Technology-assisted reconstruction: a new alternative to the experience sampling methodBehaviour & Information Technology10.1080/0144929X.2019.1608303(1-19)Online publication date: 25-Apr-2019
  • (2017)Can Less be More?Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/30900861:2(1-22)Online publication date: 30-Jun-2017
  • Show More Cited By

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    cover image ACM Other conferences
    AutomotiveUI '15: Adjunct Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
    September 2015
    172 pages
    ISBN:9781450338585
    DOI:10.1145/2809730
    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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    New York, NY, United States

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    Published: 01 September 2015

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    Author Tags

    1. DRM
    2. ESM
    3. UX evaluation
    4. automotive

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    Overall Acceptance Rate 248 of 566 submissions, 44%

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    Cited By

    View all
    • (2020)Gaze-Head Input: Examining Potential Interaction with Immediate Experience Sampling in an Autonomous VehicleApplied Sciences10.3390/app1024901110:24(9011)Online publication date: 17-Dec-2020
    • (2019)Technology-assisted reconstruction: a new alternative to the experience sampling methodBehaviour & Information Technology10.1080/0144929X.2019.1608303(1-19)Online publication date: 25-Apr-2019
    • (2017)Can Less be More?Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/30900861:2(1-22)Online publication date: 30-Jun-2017
    • (2017)A mobile lifelogging platform to measure anxiety and anger during real-life driving2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)10.1109/PERCOMW.2017.7917583(327-332)Online publication date: Mar-2017
    • (2016)Multimedia Memory Cues for Augmenting Human MemoryIEEE MultiMedia10.1109/MMUL.2016.3123:2(4-11)Online publication date: Apr-2016

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