Potential Individual Differences Regarding Automation Effects in Automated Driving

Abstract

Currently, the legal, technical and psychological regulatory framework of automated driving is being discussed by car manufacturers and researchers to guarantee its safe and smooth introduction into the traffic system. This discussion is accompanied by plenty of studies that seek to study the human side of the interaction with automation and to expose potential problems and hazards. Past research from other domains has shown that the studies' subjects differ considerably, for example in their abilities (e.g. ability to monitor) or in their attitudes (e.g. trust in automation). In this work we discuss potential individual differences -- classified into dispositions, stable traits, operator state, attitudes and demographics -- that could influence the human performance in interactions with automation. Where they exist, valid methods of measurement are referenced. The review closes with a deduction of potential risk groups that were inferred based on the reviewed literature.

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