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Detecting User Intention at Public Displays from Foot Positions

Published: 18 April 2015 Publication History

Abstract

Foot positions are features of how humans express their intentions during conversations. This inspired us to investigate the usage of foot expressions during interactions with computers. We conducted an observational study to determine how foot positions correlate with the intentions of users at public displays. Using our findings, we performed a case study to demonstrate the usefulness of adapting content according to the intentions detected based on foot positions. Our results are valuable for researchers designing context-aware public displays.

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Cited By

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  • (2021)Orbuculum - Predicting When Users Intend to Leave Large Public DisplaysProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34480755:1(1-16)Online publication date: 30-Mar-2021
  • (2018)Passerby CrowdsourcingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/32870472:4(1-20)Online publication date: 27-Dec-2018
  • (2018)Automatic Diagnosis of Students' Misconceptions in K-8 MathematicsProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173838(1-12)Online publication date: 21-Apr-2018
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  1. Detecting User Intention at Public Displays from Foot Positions

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    cover image ACM Conferences
    CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
    April 2015
    4290 pages
    ISBN:9781450331456
    DOI:10.1145/2702123
    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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    Publication History

    Published: 18 April 2015

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    Author Tags

    1. affective computing
    2. public displays
    3. subconscious interaction

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    CHI '15
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    CHI '15: CHI Conference on Human Factors in Computing Systems
    April 18 - 23, 2015
    Seoul, Republic of Korea

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    CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    Cited By

    View all
    • (2021)Orbuculum - Predicting When Users Intend to Leave Large Public DisplaysProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34480755:1(1-16)Online publication date: 30-Mar-2021
    • (2018)Passerby CrowdsourcingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/32870472:4(1-20)Online publication date: 27-Dec-2018
    • (2018)Automatic Diagnosis of Students' Misconceptions in K-8 MathematicsProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173838(1-12)Online publication date: 21-Apr-2018
    • (2017)Smart-PocketsInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2017.01.005103:C(1-21)Online publication date: 1-Jul-2017

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