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Zihsler, Jens; Hock, Philipp; Walch, Marcel; Dzuba, Kirill; Schwager, Denis; Szauer, Patrick; Rukzio, Enrico

doi:10.1145/3004323.3004354

Cited by 25 publications

(4 citation statements)

References 5 publications

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“…In the future, this experiment could be expanded to include more animated robot agents. In the present study, the robot agents stood on their feet and stayed completely still, but perhaps with hand gestures or facial expressions, the driver's trust might increase (Zihsler et al, 2016). Thus, we plan to conduct the next study to see whether the robots' movement with other characteristics can change the passengers' perceptions of an agent in the autonomous vehicle context.…”

Section: Discussion and Future Workmentioning

confidence: 97%

Female Voice Agents in Fully Autonomous Vehicles Are Not Only More Likeable and Comfortable, But Also More Competent

Dong

Lawson

Olsen

et al. 2020

Proceedings of the Human Factors and Ergonomics Society Annual

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Driving agents can provide an effective solution to improve drivers’ trust in and to manage interactions with autonomous vehicles. Research has focused on voice-agents, while few have explored robot-agents or the comparison between the two. The present study tested two variables - voice gender and agent embodiment, using conversational scripts. Twenty participants experienced autonomous driving using the simulator for four agent conditions and filled out subjective questionnaires for their perception of each agent. Results showed that the participants perceived the voice only female agent as more likeable, more comfortable, and more competent than other conditions. Their final preference ranking also favored this agent over the others. Interestingly, eye-tracking data showed that embodied agents did not add more visual distractions than the voice only agents. The results are discussed with the traditional gender stereotype, uncanny valley, and participants’ gender. This study can contribute to the design of in-vehicle agents in the autonomous vehicles and future studies are planned to further identify the underlying mechanisms of user perception on different agents.

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Section: Discussion and Future Workmentioning

confidence: 97%

Female Voice Agents in Fully Autonomous Vehicles Are Not Only More Likeable and Comfortable, But Also More Competent

Dong

Lawson

Olsen

et al. 2020

Proceedings of the Human Factors and Ergonomics Society Annual

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show abstract

“…Due to the increasing complexity in the automated vehicle, it is advisable to increase the transparency for the user about what the vehicle detects [6]. Displays for this task may contain information about the environment, traffic, events expected by the car, and its resulting intentions [49]. However, it is crucial to find the right balance and present only as much information as needed [6].…”

Section: Displaying the Trajectory Of The Automated Carmentioning

confidence: 99%

“…The aim is to show the user that the automated vehicle can clearly distinguish between these two [39]. Zihsler et al [49] showed another possibility: an avatar is used on the dashboard of the car to represent the actions of the system. By rotating the head, the occupant is already informed in advance in which direction the car will drive next.…”

Section: Displaying the Trajectory Of The Automated Carmentioning

confidence: 99%

Increasing User Experience and Trust in Automated Vehicles via an Ambient Light Display

Löcken

Frison

Fahn

et al. 2020

22nd International Conference on Human-Computer Interaction With Mobile Devices and Services

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“…In robotics, three components of anthropomorphic design are identified in [32]: (1) The form of the robot; (2) Its behavior; (3) Its interaction and communication with humans. Anthropomorphic design in automated vehicle interfaces [33,34] makes use of different social stimuli such as visual appearance, voice and natural language, and non-verbal behaviors.…”

Section: Introductionmentioning

confidence: 99%

Anthropomorphic Design and Self-Reported Behavioral Trust: The Case of a Virtual Assistant in a Highly Automated Car

Lawson-Guidigbe,

Amokrane-Ferka,

Louveton

et al. 2023

Machines

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The latest advances in car automation present new challenges in vehicle–driver interactions. Indeed, acceptance and adoption of high levels of automation (when full control of the driving task is given to the automated system) are conditioned by human factors such as user trust. In this work, we study the impact of anthropomorphic design on user trust in the context of a highly automated car. A virtual assistant was designed using two levels of anthropomorphic design: “voice-only” and “voice with visual appearance”. The visual appearance was a three-dimensional model, integrated as a hologram in the cockpit of a driving simulator. In a driving simulator study, we compared the three interfaces: two versions of the virtual assistant interface and the baseline interface with no anthropomorphic attributes. We measured trust versus perceived anthropomorphism. We also studied the evolution of trust throughout a range of driving scenarios. We finally analyzed participants’ reaction time to takeover request events. We found a significant correlation between perceived anthropomorphism and trust. However, the three interfaces tested did not significantly differentiate in terms of perceived anthropomorphism while trust converged over time across all our measurements. Finally, we found that the anthropomorphic assistant positively impacts reaction time for one takeover request scenario. We discuss methodological issues and implication for design and further research.

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Carvatar

Cited by 25 publications

References 5 publications

Female Voice Agents in Fully Autonomous Vehicles Are Not Only More Likeable and Comfortable, But Also More Competent

Female Voice Agents in Fully Autonomous Vehicles Are Not Only More Likeable and Comfortable, But Also More Competent

Increasing User Experience and Trust in Automated Vehicles via an Ambient Light Display

Anthropomorphic Design and Self-Reported Behavioral Trust: The Case of a Virtual Assistant in a Highly Automated Car

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