Individual differences in personality determine our preferences, traits and
values, which should similarly hold for the way we express ourselves. With
current advancements and transformations of technology and society, text-based
communication has become ordinary and often even surpasses natural voice
conversations -- with distinct challenges and opportunities. In this
exploratory work, we investigate the impact of personality on the tendency how
players of a team-based collaborative alternate reality game express themselves
affectively. We collected chat logs from eleven players over two weeks, labeled
them according to their affective state, and assessed the connection between
them and the five-factor personality domains and facets. After applying
multi-linear regression, we found a series of reasonable correlations between
(combinations of) personality variables and expressed affect -- as increased
confusion could be predicted by lower self-competence (C1), personal annoyance
by vulnerability to stress (N6) and expressing anger occured more often in
players that are prone to anxiety (N1), less humble and modest (A5), think less
carefully before they act (C6) and have higher neuroticism (N). Expanding the
data set, sample size and input modalities in subsequent work, we aim to
confirm these findings and reveal even more interesting connections that could
inform affective computing and games user research equally.

研究了个体差异在团队合作的虚拟现实游戏中表达感情倾向方面的影响，通过多重线性回归确定了个性变量和表达情感之间的合理相关性，为情感计算和游戏用户研究提供了有价值的信息。

评估个性对游戏通信中情感状态的影响

Assessing the Impact of Personality on Affective States from Video Game  Communication

We present an ongoing project that aims to develop a social robot to help
children cope with painful and distressing medical procedures in a clinical
setting. Our approach uses automated planning as a core component for action
selection in order to generate plans that include physical, sensory, and social
actions for the robot to use when interacting with humans. A key capability of
our system is that the robot's behaviour adapts based on the affective state of
the child patient. The robot must operate in a challenging physical and social
environment where appropriate and safe interaction with children,
parents/caregivers, and healthcare professionals is crucial. In this paper, we
present our system, examine some of the key challenges of the scenario, and
describe how they are addressed by our system.

开发一种社交机器人，通过自动化规划帮助儿童应对医疗操作中的疼痛和不适感，机器人行为会根据儿童的情感状态进行自适应调整。