There have been discussions on using robots to provide suggestions for decision making in mixed jury-systems. Hence, it is vital to investigate the influence of system interventions on decision making. This study focused on how such suggestions from a robot and an expert human influenced the decision making of a sentence in a court judgment task. We hypothesized that the sequential pattern of presentation of suggestions by an AI system installed in a robot and a human expert would influence decision making performance. In a large-scale online experiment, we investigated several factors, such as the (a) adviser type (AI(Robot) or Human), (b) sequential order (AI to Human, Human to AI), and (c) length of the sentence (3 or 7 years) that would influence decision making. The results showed that when presented with a human expert's suggestion, after an AI decision, participants were more biased towards the human's suggestion. Moreover, participants' decisions were influenced by the length of the suggestion, especially when presented with heavy lengths (seven years). This provides new implications on the factors that may influence decision making using robots as tools in a mixed jury-system and contributes to the notion of using robots in courts.
