Exploring the impact of transparency on the interaction with an in-car digital AI assistant

Neuhaus, Robin; Laschke, Matthias; Theofanou-Fülbier, Dimitra; Hassenzahl, Marc; Sadeghian, Shadan

doi:10.1145/3349263.3351325

Cited by 6 publications

(5 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fourth, in terms of transparency, the literature yields mixed results. On the one hand, more openness about the algorithm is essential for building trust in AI systems (Neuhaus et al, 2019), involving the users (Kizilcec, 2016), reducing anxiety (Jhaver et al, 2018), and increasing user experience (Vitale et al, 2018). On the other hand, studies show that too much transparency can impair user experience (Lim and Dey, 2011) and confuse users, complicating the interaction between humans and AI systems (Eslami et al, 2018).…”

Section: Public Preferences For Ai Ethics Guidelinesmentioning

confidence: 99%

Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence

2022

View full text Add to dashboard Cite

Despite the immense societal importance of ethically designing artificial intelligence, little research on the public perceptions of ethical artificial intelligence principles exists. This becomes even more striking when considering that ethical artificial intelligence development has the aim to be human-centric and of benefit for the whole society. In this study, we investigate how ethical principles (explainability, fairness, security, accountability, accuracy, privacy, and machine autonomy) are weighted in comparison to each other. This is especially important, since simultaneously considering ethical principles is not only costly, but sometimes even impossible, as developers must make specific trade-off decisions. In this paper, we give first answers on the relative importance of ethical principles given a specific use case—the use of artificial intelligence in tax fraud detection. The results of a large conjoint survey ([Formula: see text]) suggest that, by and large, German respondents evaluate the ethical principles as equally important. However, subsequent cluster analysis shows that different preference models for ethically designed systems exist among the German population. These clusters substantially differ not only in the preferred ethical principles but also in the importance levels of the principles themselves. We further describe how these groups are constituted in terms of sociodemographics as well as opinions on artificial intelligence. Societal implications, as well as design challenges, are discussed.

show abstract

Section: Public Preferences For Ai Ethics Guidelinesmentioning

confidence: 99%

Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence

2022

View full text Add to dashboard Cite

show abstract

“…The car, as part of the intelligent environment [100], should function as an empathic agent [101], having a multimodal interface [102] making use of artificial intelligence [103], mixed reality [104], and natural interaction [105,106]. Multimodality [107] uses different channels and modes of communication.…”

Section: User Experience and Car Multimodal Interfacesmentioning

confidence: 99%

Ubiquitous Computing: Driving in the Intelligent Environment

et al. 2021

View full text Add to dashboard Cite

In the context of hyper-connected cars and a growing heterogeneous digital ecosystem, we wish to make the most of the data available from the various sensors, devices and services that compose the ecosystem, in order to propose a proof of concept in-vehicle system that enhances the driving experience. We focus on improving the driving experience along three main directions, namely: (1) driving and trip planning, (2) health and well-being and (3) social and online activities. We approached the in-vehicle space as a smart interface to the intelligent driving environment. The digital data-producers in the ecosystem of the connected car are sources of raw data of various categories, such as data from the outside world, gathered from sensors or online services, data from the car itself and data from the driver gathered with various mobile and wearable devices, by means of observing his state and by means of his social media and online activity. Data is later processed into three information categories—driving, wellness, and social—and used to provide multi-modal interaction, namely visual, audio and gesture. The system is implemented to act in response to the trafficked information on different levels of autonomy, either in a reactive manner, by simple monitoring, or in a proactive manner. The system is designed to provide an in-vehicle system that assists the driver with planning the travel (Drive panel), by providing a comfortable environment for the driver while monitoring him (Wellness panel), and by adaptively managing interactions with their phone and the digital environment (Social panel). Heuristic evaluation of the system is performed, with respect to guidelines formulated for automated vehicles, and a SWOT analysis of the system is also presented in the paper.

show abstract

“…Another proposal that stands out in this research field is BMW's intelligent personal assistant [25]. This assistant obtains information such as the level of driving efficiency, the nearest petrol station or the route to reach a destination.…”

Section: Literature Review 21 Review Of Adasmentioning

confidence: 99%

User Preferences in the Design of Advanced Driver Assistance Systems

et al. 2021

View full text Add to dashboard Cite

The transport network and mobility aspects are constantly changing, and major changes are expected in the coming years in terms of safety and sustainability purposes. In this paper, we present the main conclusions and analysis of data collected from a survey of drivers in Spain and Portugal regarding user preferences, highlighting the main functionalities and behavior that an advanced driver assistance system must have in order to grant it special importance on the road to prevent accidents and also to enable drivers to have a pleasant journey. Based on the results obtained from the survey, we developed and present a working prototype for an advanced driver assistance system (ADAS), its architecture and rules systems that allowed us to create and test some scenarios in a real environment.

show abstract

Exploring the impact of transparency on the interaction with an in-car digital AI assistant

Cited by 6 publications

References 10 publications

Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence

Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence

Ubiquitous Computing: Driving in the Intelligent Environment

User Preferences in the Design of Advanced Driver Assistance Systems

Contact Info

Product

Resources

About