AUTOMATE - AN EMPATHIC FIRST-AID COMMUNICATION SYSTEM TO REDUCE THE BYSTANDER EFFECT IN CAR ACCIDENTS

Cansu Demir; Sonja Lang; Isabel  Melibeu; Alexander Meschtscherjakov

doi:10.1145/3544549.3585777

AUTOMATE - AN EMPATHIC FIRST-AID COMMUNICATION SYSTEM TO REDUCE THE BYSTANDER EFFECT IN CAR ACCIDENTS

Cansu Demir, Sonja Lang, Isabel Melibeu, Alexander Meschtscherjakov

Artificial Intelligence and Human Interfaces

Publikation: Beitrag in Buch/Bericht/Konferenzband/Gesetzeskommentar › Konferenzbeitrag › Peer-reviewed

Abstract

The bystander effect (i.e. theory that individuals are less likely to offer help in presence of others) is a common problem especially, when in cases of car accidents. In this paper, we present a first-aid communication system (AutoMate) that shall increase empathy of nearby drivers and support them in helping a car accident victim. Based on expert interviews, we designed and implemented a prototypical AutoMate system and evaluated it in a user study (N=8) in a car simulator. Results show the potential of such a system towards a more empathic behavior. We discuss challenges and opportunities for the design of in-vehicle information systems addressing bystander effects.

Originalsprache	Englisch
Titel	CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
Redakteure/-innen	Albrecht Schmidt, Kaisa Väänänen, Tesh Goyal, Per Ola Kristensson, Anicia Peters
Herausgeber (Verlag)	Association for Computing Machinery (ACM)
Seiten	1-7
Seitenumfang	8
ISBN (elektronisch)	978-1-4503-9422-2
ISBN (Print)	978-1-4503-9422-2
DOIs	https://doi.org/10.1145/3544549.3585777
Publikationsstatus	Veröffentlicht - 19 Apr. 2023
Veranstaltung	2023 CHI Conference on Human Factors in Computing Systems (CHI EA ’23) - Congress Center Hamburg (CCH), Hamburg, Deutschland Dauer: 23 Apr. 2023 → 28 Apr. 2023 https://chi2023.acm.org

Konferenz

Konferenz	2023 CHI Conference on Human Factors in Computing Systems (CHI EA ’23)
Kurztitel	CHI EA ’23
Land/Gebiet	Deutschland
Ort	Hamburg
Zeitraum	23/04/23 → 28/04/23
Internetadresse	https://chi2023.acm.org

Bibliographische Notiz

Funding Information:
This work was created within the project HADRIAN, which has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement number 875597. The Innovation and Networks Executive Agency (INEA) is not responsible for any use that may be made of the information this document contains.

Publisher Copyright:
© 2023 Owner/Author.

Systematik der Wissenschaftszweige 2012

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10.1145/3544549.3585777

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1 Poster-Präsentation
1 Forschungsaufenthalt

AUTOMATE - AN EMPATHIC FIRST-AID COMMUNICATION SYSTEM TO REDUCE THE BYSTANDER EFFECT IN CAR ACCIDENTS
Demir, C. (Redner/in), Lang, S. (Redner/in) & Melibeu, I. (Redner/in)
26 Apr. 2023
Aktivität: Gastvortrag oder Vortrag › Poster-Präsentation › science to science / art to art
CHI Conference Series
Demir, C. (Gastforscher/-in)
23 Apr. 2023 → 28 Apr. 2023
Aktivität: Forschungsaufenthalt › vor Ort

Dieses zitieren

Demir, C., Lang, S., Melibeu, I., & Meschtscherjakov, A. (2023). AUTOMATE - AN EMPATHIC FIRST-AID COMMUNICATION SYSTEM TO REDUCE THE BYSTANDER EFFECT IN CAR ACCIDENTS. in A. Schmidt, K. Väänänen, T. Goyal, P. O. Kristensson, & A. Peters (Hrsg.), CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (S. 1-7). Artikel 47 Association for Computing Machinery (ACM). https://doi.org/10.1145/3544549.3585777

Demir, Cansu ; Lang, Sonja ; Melibeu, Isabel et al. / AUTOMATE - AN EMPATHIC FIRST-AID COMMUNICATION SYSTEM TO REDUCE THE BYSTANDER EFFECT IN CAR ACCIDENTS. CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. Hrsg. / Albrecht Schmidt ; Kaisa Väänänen ; Tesh Goyal ; Per Ola Kristensson ; Anicia Peters. Association for Computing Machinery (ACM), 2023. S. 1-7

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abstract = "The bystander effect (i.e. theory that individuals are less likely to offer help in presence of others) is a common problem especially, when in cases of car accidents. In this paper, we present a first-aid communication system (AutoMate) that shall increase empathy of nearby drivers and support them in helping a car accident victim. Based on expert interviews, we designed and implemented a prototypical AutoMate system and evaluated it in a user study (N=8) in a car simulator. Results show the potential of such a system towards a more empathic behavior. We discuss challenges and opportunities for the design of in-vehicle information systems addressing bystander effects.",

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Demir, C, Lang, S, Melibeu, I & Meschtscherjakov, A 2023, AUTOMATE - AN EMPATHIC FIRST-AID COMMUNICATION SYSTEM TO REDUCE THE BYSTANDER EFFECT IN CAR ACCIDENTS. in A Schmidt, K Väänänen, T Goyal, PO Kristensson & A Peters (Hrsg.), CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems., 47, Association for Computing Machinery (ACM), S. 1-7, 2023 CHI Conference on Human Factors in Computing Systems (CHI EA ’23), Hamburg, Deutschland, 23/04/23. https://doi.org/10.1145/3544549.3585777

AUTOMATE - AN EMPATHIC FIRST-AID COMMUNICATION SYSTEM TO REDUCE THE BYSTANDER EFFECT IN CAR ACCIDENTS. / Demir, Cansu; Lang, Sonja; Melibeu, Isabel et al.
CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. Hrsg. / Albrecht Schmidt; Kaisa Väänänen; Tesh Goyal; Per Ola Kristensson; Anicia Peters. Association for Computing Machinery (ACM), 2023. S. 1-7 47.

Publikation: Beitrag in Buch/Bericht/Konferenzband/Gesetzeskommentar › Konferenzbeitrag › Peer-reviewed

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N2 - The bystander effect (i.e. theory that individuals are less likely to offer help in presence of others) is a common problem especially, when in cases of car accidents. In this paper, we present a first-aid communication system (AutoMate) that shall increase empathy of nearby drivers and support them in helping a car accident victim. Based on expert interviews, we designed and implemented a prototypical AutoMate system and evaluated it in a user study (N=8) in a car simulator. Results show the potential of such a system towards a more empathic behavior. We discuss challenges and opportunities for the design of in-vehicle information systems addressing bystander effects.

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Demir C, Lang S, Melibeu I, Meschtscherjakov A. AUTOMATE - AN EMPATHIC FIRST-AID COMMUNICATION SYSTEM TO REDUCE THE BYSTANDER EFFECT IN CAR ACCIDENTS. in Schmidt A, Väänänen K, Goyal T, Kristensson PO, Peters A, Hrsg., CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM). 2023. S. 1-7. 47 doi: 10.1145/3544549.3585777

AUTOMATE - AN EMPATHIC FIRST-AID COMMUNICATION SYSTEM TO REDUCE THE BYSTANDER EFFECT IN CAR ACCIDENTS

Abstract

Konferenz

Bibliographische Notiz

Systematik der Wissenschaftszweige 2012

Zugriff auf Dokument

Andere Dateien und Links

Aktivitäten

AUTOMATE - AN EMPATHIC FIRST-AID COMMUNICATION SYSTEM TO REDUCE THE BYSTANDER EFFECT IN CAR ACCIDENTS

CHI Conference Series

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