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 (Vortragende:r), Manfred Tscheligi, Alexander Meschtscherjakov

Center for Technology Experience

Paris Lodron University of Salzburg (PLUS)

Publikation: Beitrag in Buch oder Tagungsband › Beitrag in Tagungsband mit Posterpräsentation › Begutachtung

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.

Originalsprache	Englisch
Titel	CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
Seiten	1-6
Seitenumfang	6
DOIs	https://doi.org/10.1145/3290607.3312841
Publikationsstatus	Veröffentlicht - 2019
Veranstaltung	ACM CHI Conference on Human Factors in Computing Systems. Weaving the threads of CHI (CHI 2019) - Dauer: 4 Mai 2019 → 9 Mai 2019

Konferenz

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

Research Field

Ehemaliges Research Field - Capturing Experience

Zugriff auf Dokument

10.1145/3290607.3312841Lizenz: Nicht angegeben

Diese Publikation zitieren

@inbook{70b1bb0538cd41cf9f083e7d7a1b33cf,

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",

year = "2019",

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",

}

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. S. 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 (Vortragende:r); Tscheligi, Manfred; Meschtscherjakov, Alexander.
CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. 2019. S. 1-6.

Publikation: Beitrag in Buch oder Tagungsband › Beitrag in Tagungsband mit Posterpräsentation › Begutachtung

TY - CHAP

T1 - Persuading the Driver: A Literature Review to Identify Blind Spots

AU - Tscheligi, Manfred

AU - Meschtscherjakov, Alexander

A2 - Paraschivoiu, Irina

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

U2 - 10.1145/3290607.3312841

DO - 10.1145/3290607.3312841

M3 - Conference Proceedings with Poster Presentation

SN - 978-1-4503-5971-9

SP - 1

EP - 6

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

T2 - ACM CHI Conference on Human Factors in Computing Systems. Weaving the threads of CHI (CHI 2019)

Y2 - 4 May 2019 through 9 May 2019

ER -

Persuading the Driver: A Literature Review to Identify Blind Spots

Abstract

Konferenz

Research Field

Zugriff auf Dokument

Fingerprint

Diese Publikation zitieren