Human or robot? Exploring different avatar appearances to increase perceived security in shared automated vehicles
Journal on Multimodal User Interfaces (2024) 18:209–228
https://doi.org/10.1007/s12193-024-00436-x
ORIGINAL PAPER
Human or robot? Exploring different avatar appearances to increase
perceived security in shared automated vehicles
Martina Schuß1
· Luca Pizzoni1 · Andreas Riener1
Received: 31 January 2024 / Accepted: 21 July 2024 / Published online: 30 August 2024
© The Author(s) 2024
Abstract
Shared Automated Vehicles (SAVs) promise to make automated mobility accessible to a wide range of people while reducing
air pollution and improving traffic flow. In the future, these vehicles will operate with no human driver on board, which
poses several challenges that might differ depending on the cultural context and make one-fits-all solutions demanding. A
promising substitute for the driver could be Digital Companions (DCs), i.e. conversational agents presented on a screen inside
the vehicles. We conducted interviews with Colombian participants and workshops with German and Korean participants
and derived two design concepts of DCs as an alternative for the human driver on SAVs: a human-like and a robot-like. We
compared these two concepts to a baseline without companion using a scenario-based online questionnaire with participants
from Colombia (N = 57), Germany (N = 50), and Korea (N = 29) measuring anxiety, security, trust, risk, control, threat, and
user experience. In comparison with the baseline, both DCs are statistically significantly perceived as more positively. While
we found a preference for the human-like DC among all participants, this preference is higher among Colombians while
Koreans show the highest openness towards the robot-like DC.
Keywords Cross-cultural study · Conversational agent · Digital companion · Shared automated vehicles · Perceived security
1 Introduction
The era of automated vehicles (AVs) is upon us, promising to
revolutionize our mobility and transform the in-vehicle experience fundamentally. These vehicles, capable of automated
operation through environmental sensing and responsive
actions, hold the promise of reshaping transportation dynamics [1–3].
Among these innovations, shared automated vehicles
(SAVs), employing AVs in a collective framework, emerge
as an economically viable option, potentially making travel
more affordable while curbing congestion, emissions, and
the land footprint of parking spaces through higher capacity utilization in comparison to privately used vehicles [4,
5]. However, despite their manifold advantages, challenges
persist, particularly regarding the absence of a human driver
[6–8]– a source for a sense of security [9].
While current SAVs operate with onboard operators–at
least in Europe– due to legal constraints, the future land-
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Martina Schuß
scape envisions fully automated SAVs for public use. Yet,
the acceptance of these vehicles may hinge on addressing
the perceived insecurity stemming from the lack of a human
driver. To bridge this gap, Schuß et al. [10] suggest a Conversational Agent (CA) functioning as a Digital Companion
(DC) to emulate certain driver functions, although specifics
remain open.
Recognizing the cultural diversity in perceptions of
automation trust and security needs, our study, rooted in
a German institution, delves into contrasting cultural landscapes. We aim to explore how different countries, delineated
by the Hofstede framework [11] and varying perceptions
of security in public transportation (PT) systems, shape
users’ views on SAV security needs and their expectations
from a DC. Germany, statistically exhibiting high personal
security in PT but lower perceived security [12], stands in
contrast to South Korea, where extensive CCTV coverage
creates a perceived high security in PT [12–14]. Additionally, we incorporate perspectives from regions where PT
faces security challenges. For instance, Latin American PT
users encounter safety concerns [15], particularly related
to gender-based violence and personal safety, presenting a
Technische Hochschule Ingolstadt, Ingolstadt, Germany
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compelling basis for a cross-cultural comparison between
Colombia, Germany, and Korea.
Our work involves analyzing security needs with Colombian participants and conceptualizing a DC with German and
Korean participants. Employing participatory design techniques in co-creation workshops, we developed both robotand human-like DCs to enhance perceived security in SAVs,
and evaluate them in our main study including participants
from Colombia, Germany, and Korea.
2 Related work
2.1 Advantages of shared automated vehicles
Jeon et al. affirm that the primary perceived benefit of Automated Vehicles (AVs) is safety, attributed to the notion that
94% of vehicle accidents stem from human errors [16, 17].
AVs, equipped with collision avoidance systems and greater
data access, hold promise in reducing accidents [18].
In the realm of automated PT, SAVs are poised to revolutionize shared mobility by addressing economics, wherein
vehicles often remain empty 95% of the time, according
to Sperling [19, 20]. Chen forecasts competitive pricing for
SAVs compared to conventional shared mobility, potentially
making AVs financially viable [4, 21, 22].
SAVs offer multifaceted benefits, including reduced vehicle ownership, traffic congestion, parking space demand,
and emissions [4, 5]. However, their lack of a driver poses
significant challenges, particularly concerning in-vehicle
security. Studies indicate that personal security concerns
might impede SAV adoption [23–25]. Notably, gender-based
differences in security perceptions emerge, with women
expressing higher levels of anxiety and fear regarding shared
mobility [7, 26].
Proposed solutions to mitigate the absence of a driver
include Digital Companions (DCs) to alleviate the feeling
of being unobserved [10, 27]. These DCs could potentially
improve in-vehicle security and crime prevention, as suggested by Sanguinetti et al. [26]. It is imperative to research
the design of these DCs due to the critical role they could
play in enhancing in-vehicle security and crime prevention,
addressing the absence of a human driver and fostering a
sense of safety among passengers.
2.2 Designing conversational agents and digital
companions
In the landscape of conversational agents (CAs), Niess et al.
categorize Digital Companions (DCs) into active and passive types, emphasizing the contextual importance of their
roles, thereby suggesting a shift in human-DC relationships
[28]. Burmester et al. stress the significance of security, feed-
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Journal on Multimodal User Interfaces (2024) 18:209–228
back, and memory for DCs in Shared Automated Vehicles
(SAVs) operating as public transportation [29]. The absence
of human drivers in SAVs presents challenges in service and
social dynamics, considering the diverse roles typically fulfilled by human drivers in these vehicles [30, 31]. These
roles span from psychologist to supervisor [31] underscoring the diverse requirements in (...truncated)