Based on the instrumental account of emotion regulation, the current research seeks to offer a novel perspective to the emotions-creativity debate by investigating the instrumental value of trait-consistent emotions in creativity. We hypothesize that emotions such as worry (vs. happy) are some trait-consistent experiences for neurotic individuals and experiencing these emotions can facilitate performance in a creativity task. In two studies, we found support for our hypothesis. First, individuals higher in neuroticism had a greater preference for recalling worrisome (vs. happy) events in anticipation of performing a creativity task (Study 1). Moreover, when induced to recall a worrisome (vs. happy) event, individuals higher in neuroticism had better performance in a creativity task (Study 2). These findings offer a new perspective to the controversy concerning the emotions-creativity relationship and further demonstrate the role of instrumental emotion regulation in the domain of creative performance.

In the global economy, design of digital media often involves teams of individuals from a variety of cultures who must function together. Similarly, products must be designed and marketed taking specific cultural characteristics into account. Much is known about decision processes, culture and cognition, design of products and interfaces for human interaction with machines, and organizational processes, but this knowledge is dispersed across several disciplines and research areas. This article reviews current work in these areas and proposes a research agenda for fostering increased understanding of the ways in which cultural differences influence decision making and action in design and use of digital media.

Effective communication between a person and a robot may depend on whether there exists a common ground of understanding between the two. In two experiments modelled after human-human studies we examined how people form a mental model of a robot’s factual knowledge. Participants estimated the robot’s knowledge by extrapolating from their own knowledge and from information about the robot’s origin and language. These results suggest that designers of humanoid robots must attend not only to the social cues that robots emit but also to the information people use to create mental models of a robot.