Replication Data for: Hacking Trust: The Presence of Faces on Automated TellerMachines (ATMs) Affects Trustworthiness (doi:10.21979/N9/WOGMQ6)

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Replication Data for: Hacking Trust: The Presence of Faces on Automated TellerMachines (ATMs) Affects Trustworthiness

doi:10.21979/N9/WOGMQ6

DR-NTU (Data)

2021-02-08

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Gabrieli, Giulio; Esposito, Gianluca, 2021, "Replication Data for: Hacking Trust: The Presence of Faces on Automated TellerMachines (ATMs) Affects Trustworthiness", https://doi.org/10.21979/N9/WOGMQ6, DR-NTU (Data), V1

Replication Data for: Hacking Trust: The Presence of Faces on Automated TellerMachines (ATMs) Affects Trustworthiness

doi:10.21979/N9/WOGMQ6

Gabrieli, Giulio (Nanyang Technological University)

Esposito, Gianluca (Nanyang Technological University)

Python

2015 NAP Start-up Grant M4081597 (GE)

Tier-1 Grant (GE)

DR-NTU (Data)

Gabrieli, Giulio

Gabrieli Giulio

2021-01-24

https://doi.org/10.21979/N9/WOGMQ6

Social Sciences, Social Sciences, Halo Effect

Trustworthiness is a core concept that drives individuals’ interaction with others, as well with objects and digital interfaces. The perceived trustworthiness of strangers from the evaluation of their faces has been widely studies in social psychology; however, little is known about the possibility of transferring trustworthiness from human faces to other individuals, objects or interfaces. In this study, we explore how the perceived trustworthiness of automated teller machines (ATMs) is influenced by the presence of faces on the machines, and how the trustworthiness of the faces themselves is transferred to the machine. In our study, participants (N = 57) rated the trustworthiness of ATMs on which faces of different age, gender, and ethnicity are placed. Subsequently, the trustworthiness of the ATMs is compared to the trustworthiness ratings of faces presented on their own. Results of our works support the idea that faces’ trustworthiness can be transferred to objects on which faces are presented. Moreover, the trustworthiness of ATMs seems to be influenced by the age of presented faces, with ATMs on which children faces are presented are trusted more than the same machines when adults’ or elders’ faces are presented, but not by the ethnicity (Asian or Caucasian) or gender (male or female) of presented faces.

Single individuals

Eighty-six (N = 86, 42 females) Asian Singaporeans, aged 21 years and above

Behavioral Data

Data from a participant are collected twice, at one week of distance.

convenience sampling. Participants were recruited via social media or through the participation system of the Nanyang Technological University.

Gabrieli, Giulio; Esposito, Gianluca; Goh, Raphael; Gualco, Carlotta, 2020, "Influence of gender, ethnicity and age on the strenght of the Halo Effect (Aesthetics X Trustworthiness)", <a href=" https://doi.org/10.21979/N9/5IIVOM"> https://doi.org/10.21979/N9/5IIVOM</a>, DR-NTU (Data), V2, UNF:6:84hKz8Cp9q/N9kFMg/ErUA== [fileUNF]

10.3390/bs11060091

Gabrieli, G., Ng, S., & Esposito, G. (2021). Hacking Trust: The Presence of Faces on Automated Teller Machines (ATMs) Affects Trustworthiness. Behavioral Sciences, 11(6), 91.

10356/151639

Gabrieli, G., Ng, S., & Esposito, G. (2021). Hacking Trust: The Presence of Faces on Automated Teller Machines (ATMs) Affects Trustworthiness. Behavioral Sciences, 11(6), 91.

Gabrieli, G., Lee, A., Setoh, P., & Esposito, G.(2021). An analysis of the generalizability and stability of the halo effect during the COVID-19 pandemic outbreak. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2021.631871.

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