Abstract
We present two prototypes of a serious game which is a aimed at raising police officers’ awareness of social stance during street interventions by letting them interact with virtual characters. We discuss the design, implementation and evaluation of a method of feedback on the police officers’ game actions. This method uses thought bubbles to show the cognitive state of virtual characters, using a theory of interpersonal stances. We use thought bubbles (1) to provide direct feedback by showing the agent’s current attitude, and (2) to provide delayed feedback at the start of a new scenario by showing a flashback to the previous scenario, expressing the character’s overall attitude towards the player. We conducted two experiments with students from the Dutch Police Academy and found that our implementations of these forms of feedback did not lead to directly measurable learning gains.
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Notes
- 1.
In larps, people role play by physically acting out their characters’ actions.
- 2.
Attacking, aloof, accommodating, helpful, de-escalation, escalation, giving freedom, giving respect, working against each other, and working together.
- 3.
The inequality of the number of participants in the two conditions was caused by two participants not being able to complete the experiment due to technical issues.
- 4.
We assume linearity of the Likert scale items to average data across participants.
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Acknowledgements
We thank the police instructors and students who helped with our experiments. This publication was supported by the Dutch national program COMMIT.
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Linssen, J., Theune, M., de Groot, T., Heylen, D. (2015). Improving Social Awareness Through Thought Bubbles and Flashbacks of Virtual Characters. In: Brinkman, WP., Broekens, J., Heylen, D. (eds) Intelligent Virtual Agents. IVA 2015. Lecture Notes in Computer Science(), vol 9238. Springer, Cham. https://doi.org/10.1007/978-3-319-21996-7_25
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