Evaluating artifact effects in threat image projection for X-ray baggage screening and strategies for improvement
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Autor:in (Körperschaft)
Publikationsdatum
17.12.2025
Typ der Arbeit
Studiengang
Typ
01A - Beitrag in wissenschaftlicher Zeitschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
International Journal of Human–Computer Interaction
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
Patentnummer
Verlag / Herausgebende Institution
Taylor & Francis
Verlagsort / Veranstaltungsort
Philadelphia
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
Many airports worldwide employ threat image projection (TIP) that occasionally projects prerecorded threat items (e.g., bombs) into X-ray images of passenger baggage to enhance and monitor security officers’ detection performance. However, some TIP-generated images appear artificial, potentially undermining the effectiveness of TIP. We conducted a simulated screening task with security officers using TIP images from an international airport. We applied path modeling to analyze how TIP artifacts affect threat detection and interact with other image characteristics. We found that threats aligning poorly with other items increased threat detection. Furthermore, artifacts occurred more often when the threat items were projected onto less complex bags or loose items in a tray. TIP should still be effective, because artifacts only occurred in every sixth image and showed a small impact on threat detection compared to other factors. To increase TIP effectiveness, projection onto baggage images with moderate complexity can significantly reduce artifacts while producing more realistic threat images.
Schlagwörter
Aviation Security, Aviation Security
Fachgebiet (DDC)
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
1044-7318
1532-7590
1532-7590
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
New Work
Publikationsstatus
Veröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Hybrid
Lizenz
Zitation
Riz à Porta, R., Sterchi, Y., & Schwaninger, A. (2025). Evaluating artifact effects in threat image projection for X-ray baggage screening and strategies for improvement. International Journal of Human–Computer Interaction. https://doi.org/10.1080/10447318.2025.2598113