Exploring the impact of transparency on the interaction with an in-car digital AI assistant
Robin Neuhaus, Matthias Laschke, Dimitra Theofanou-Fülbier, Marc Hassenzahl, Shadan Sadeghian · 2019
Nowadays, intelligent assistants, such as Amazon's Alexa, are widely available. Unsurprisingly, intelligent assistants find their way into cars, in some cases as a major way to interact with the car. We conducted a user enactment exploring the impact of transparency on a possible future user experience with a digital AI assistant in the car. The focus is on whether tasks should be performed in an opaque way, only involving the user when it is necessary, or in a transparent way, always offering the user insights into what is being done and how. We present initial findings indicating a slight preference towards more transparency.