Veritaps: truth estimation from mobile interaction

Aske Mottelson; Jarrod Knibbe; Kasper Hornbæk

doi:10.1145/3173574.3174135

Veritaps: truth estimation from mobile interaction

Aske Mottelson, Jarrod Knibbe, Kasper Hornbæk

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

7 Citations (Scopus)

Abstract

We introduce the concept of Veritaps: a communication layer to help users identify truths and lies in mobile input. Existing lie detection research typically uses features not suitable for the breadth of mobile interaction. We explore the feasibility of detecting lies across all mobile touch interaction using sensor data from commodity smartphones. We report on three studies in which we collect discrete, truth-labelled mobile input using swipes and taps. The studies demonstrate the potential of using mobile interaction as a truth estimator by employing features such as touch pressure and the inter-tap details of number entry, for example. In our final study, we report an F1-score of:98 for classifying truths and:57 for lies. Finally we sketch three potential future scenarios of using lie detection in mobile applications; as a security measure during online log-in, a trust layer during online sale negotiations, and a tool for exploring self-deception.

Original language	English
Title of host publication	CHI 2018 - Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Editors	Anna Cox, Mark Perry
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	1-12
Number of pages	12
ISBN (Electronic)	9781450356213
ISBN (Print)	9781450356206
DOIs	https://doi.org/10.1145/3173574.3174135
Publication status	Published - 20 Apr 2018
Externally published	Yes
Event	International Conference on Human Factors in Computing Systems 2018 - Palais des Congrès de Montréal, Montreal, Canada Duration: 21 Apr 2018 → 26 Apr 2018 Conference number: 36th https://chi2018.acm.org/ https://dl.acm.org/doi/proceedings/10.1145/3173574 (Proceedings)

Conference

Conference	International Conference on Human Factors in Computing Systems 2018
Abbreviated title	CHI 2018
Country/Territory	Canada
City	Montreal
Period	21/04/18 → 26/04/18
Internet address	https://chi2018.acm.org/ https://dl.acm.org/doi/proceedings/10.1145/3173574 (Proceedings)

Keywords

Deception
Dishonesty
Lie detection
Mobile input
Polygraph
Smartphones

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10.1145/3173574.3174135

252457848-oaFinal published version, 2.85 MB

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title = "Veritaps: truth estimation from mobile interaction",

abstract = "We introduce the concept of Veritaps: a communication layer to help users identify truths and lies in mobile input. Existing lie detection research typically uses features not suitable for the breadth of mobile interaction. We explore the feasibility of detecting lies across all mobile touch interaction using sensor data from commodity smartphones. We report on three studies in which we collect discrete, truth-labelled mobile input using swipes and taps. The studies demonstrate the potential of using mobile interaction as a truth estimator by employing features such as touch pressure and the inter-tap details of number entry, for example. In our final study, we report an F1-score of:98 for classifying truths and:57 for lies. Finally we sketch three potential future scenarios of using lie detection in mobile applications; as a security measure during online log-in, a trust layer during online sale negotiations, and a tool for exploring self-deception.",

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author = "Aske Mottelson and Jarrod Knibbe and Kasper Hornb{\ae}k",

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address = "United States of America",

note = "International Conference on Human Factors in Computing Systems 2018, CHI 2018 ; Conference date: 21-04-2018 Through 26-04-2018",

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Mottelson, A, Knibbe, J & Hornbæk, K 2018, Veritaps: truth estimation from mobile interaction. in A Cox & M Perry (eds), CHI 2018 - Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems., 561, Association for Computing Machinery (ACM), New York NY USA, pp. 1-12, International Conference on Human Factors in Computing Systems 2018, Montreal, Quebec, Canada, 21/04/18. https://doi.org/10.1145/3173574.3174135

Veritaps: truth estimation from mobile interaction. / Mottelson, Aske; Knibbe, Jarrod; Hornbæk, Kasper.
CHI 2018 - Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ed. / Anna Cox; Mark Perry. New York NY USA: Association for Computing Machinery (ACM), 2018. p. 1-12 561.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AU - Hornbæk, Kasper

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AB - We introduce the concept of Veritaps: a communication layer to help users identify truths and lies in mobile input. Existing lie detection research typically uses features not suitable for the breadth of mobile interaction. We explore the feasibility of detecting lies across all mobile touch interaction using sensor data from commodity smartphones. We report on three studies in which we collect discrete, truth-labelled mobile input using swipes and taps. The studies demonstrate the potential of using mobile interaction as a truth estimator by employing features such as touch pressure and the inter-tap details of number entry, for example. In our final study, we report an F1-score of:98 for classifying truths and:57 for lies. Finally we sketch three potential future scenarios of using lie detection in mobile applications; as a security measure during online log-in, a trust layer during online sale negotiations, and a tool for exploring self-deception.

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Veritaps: truth estimation from mobile interaction

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Keywords

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