Debiasing the Influence of Demographic and Appearance Cues in Social Engineering via Role-Taking: Negative Results

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Supti, Tourjana Islam, Abuelezz, Israa, Muhanad, Aya, Barhmagi, Mahmoud, Yankouskaya, Ala, Khan, Khaled M., Erbad, Aiman, Ali, Raian
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866911181537542144
author Supti, Tourjana Islam
Abuelezz, Israa
Muhanad, Aya
Barhmagi, Mahmoud
Yankouskaya, Ala
Khan, Khaled M.
Erbad, Aiman
Ali, Raian
author_facet Supti, Tourjana Islam
Abuelezz, Israa
Muhanad, Aya
Barhmagi, Mahmoud
Yankouskaya, Ala
Khan, Khaled M.
Erbad, Aiman
Ali, Raian
contents This study investigates the efficacy of role-taking and literacy-based interventions in reducing the influence of appearance cues, such as gender, age, ethnicity, and clothing style, on trust and risk-taking in social engineering contexts. A-4 (Group: Control, Literacy, Persuader, Persuadee) * 2 (Time: Pre, Post) mixed factorial design was implemented over two weeks with 139 participants. The control group received no material. The literacy group attended two sessions focused on how behavior can be similar regardless of appearance cues. The persuader group completed three sessions, learning how to use such cues to influence others. The persuadee group attended three sessions involving the selection, justification, and reflection on personas and scenarios. Scenarios centered on financial and rental advice. A one-week gap followed before post-intervention testing. In both pre- and post-tests, participants assessed personas combining appearance cues, offering mobile hotspots with potential risk. They rated trust and willingness to take the risk. Validated measures and scenarios were used, including word-of-mouth and issue involvement scales. It was expected that cue influence would diminish post-intervention. However, no significant within- or between-group differences emerged. Findings raise concerns about the effectiveness of debiasing efforts and call for reconsideration of approaches using literacy, role-taking, rehearsal, drama, and simulation.
format Preprint
id arxiv_https___arxiv_org_abs_2509_23271
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Debiasing the Influence of Demographic and Appearance Cues in Social Engineering via Role-Taking: Negative Results
Supti, Tourjana Islam
Abuelezz, Israa
Muhanad, Aya
Barhmagi, Mahmoud
Yankouskaya, Ala
Khan, Khaled M.
Erbad, Aiman
Ali, Raian
Human-Computer Interaction
This study investigates the efficacy of role-taking and literacy-based interventions in reducing the influence of appearance cues, such as gender, age, ethnicity, and clothing style, on trust and risk-taking in social engineering contexts. A-4 (Group: Control, Literacy, Persuader, Persuadee) * 2 (Time: Pre, Post) mixed factorial design was implemented over two weeks with 139 participants. The control group received no material. The literacy group attended two sessions focused on how behavior can be similar regardless of appearance cues. The persuader group completed three sessions, learning how to use such cues to influence others. The persuadee group attended three sessions involving the selection, justification, and reflection on personas and scenarios. Scenarios centered on financial and rental advice. A one-week gap followed before post-intervention testing. In both pre- and post-tests, participants assessed personas combining appearance cues, offering mobile hotspots with potential risk. They rated trust and willingness to take the risk. Validated measures and scenarios were used, including word-of-mouth and issue involvement scales. It was expected that cue influence would diminish post-intervention. However, no significant within- or between-group differences emerged. Findings raise concerns about the effectiveness of debiasing efforts and call for reconsideration of approaches using literacy, role-taking, rehearsal, drama, and simulation.
title Debiasing the Influence of Demographic and Appearance Cues in Social Engineering via Role-Taking: Negative Results
topic Human-Computer Interaction
url https://arxiv.org/abs/2509.23271