Persuading the Driver: A Literature Review to Identify Blind Spots

Irina Paraschivoiu; Manfred Tscheligi; Alexander Meschtscherjakov

doi:10.1145/3290607.3312841

Persuading the Driver: A Literature Review to Identify Blind Spots

Irina Paraschivoiu (Speaker)
, Manfred Tscheligi
, Alexander Meschtscherjakov

Center for Technology Experience

Paris Lodron University of Salzburg

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Poster Presentation › peer-review

Abstract

We present a review of persuasive systems in vehicles based on the Persuasion Interface Design in the Automotive context Framework (PIDAF). It integrates intents, cues, persuasive principles and design options for automotive persuasion. Our results show that most systems target safety and eco-driving using conscious cues to alert the driver. Most systems use self-monitoring, tailoring or suggestion as persuasive principles. Visual modalities are still much more popular than auditory or haptic ones. We identified blind spots to support designers and researchers in developing systems addressing areas which are less explored in automotive persuasion.

Original language	English
Title of host publication	CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
Pages	1-6
Number of pages	6
DOIs	https://doi.org/10.1145/3290607.3312841
Publication status	Published - 2019
Event	ACM CHI Conference on Human Factors in Computing Systems. Weaving the threads of CHI (CHI 2019) - Duration: 4 May 2019 → 9 May 2019

Conference

Conference	ACM CHI Conference on Human Factors in Computing Systems. Weaving the threads of CHI (CHI 2019)
Period	4/05/19 → 9/05/19

Research Field

Former Research Field - Capturing Experience

Access to Document

10.1145/3290607.3312841Licence: Unspecified

Cite this

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title = "Persuading the Driver: A Literature Review to Identify Blind Spots",

abstract = "We present a review of persuasive systems in vehicles based on the Persuasion Interface Design in the Automotive context Framework (PIDAF). It integrates intents, cues, persuasive principles and design options for automotive persuasion. Our results show that most systems target safety and eco-driving using conscious cues to alert the driver. Most systems use self-monitoring, tailoring or suggestion as persuasive principles. Visual modalities are still much more popular than auditory or haptic ones. We identified blind spots to support designers and researchers in developing systems addressing areas which are less explored in automotive persuasion.",

author = "Irina Paraschivoiu and Manfred Tscheligi and Alexander Meschtscherjakov",

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doi = "10.1145/3290607.3312841",

language = "English",

isbn = "978-1-4503-5971-9",

pages = "1--6",

booktitle = "CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems",

note = "ACM CHI Conference on Human Factors in Computing Systems. Weaving the threads of CHI (CHI 2019) ; Conference date: 04-05-2019 Through 09-05-2019",

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Paraschivoiu, I, Tscheligi, M & Meschtscherjakov, A 2019, Persuading the Driver: A Literature Review to Identify Blind Spots. in CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. pp. 1-6, ACM CHI Conference on Human Factors in Computing Systems. Weaving the threads of CHI (CHI 2019), 4/05/19. https://doi.org/10.1145/3290607.3312841

Persuading the Driver: A Literature Review to Identify Blind Spots. / Paraschivoiu, Irina (Speaker); Tscheligi, Manfred; Meschtscherjakov, Alexander.
CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. 2019. p. 1-6.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Poster Presentation › peer-review

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DO - 10.1145/3290607.3312841

M3 - Conference Proceedings with Poster Presentation

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BT - CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

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Y2 - 4 May 2019 through 9 May 2019

ER -

Persuading the Driver: A Literature Review to Identify Blind Spots

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Conference

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