Linking the Divergent and Convergent Processes of Collaborative Creativity: The Impact of Expertise Levels and Elaboration Processes.

We examined the impact of task-relevant expertise level in groups on the idea sharing and elaboration process and on idea development. Participants were assigned to low, heterogeneous, and high expertise groups and were asked to generate ideas for the development of a new sport. Following two asynchronous divergent ideation phases using an electronic discussion board for ideational exchanges, groups completed a synchronous convergent discussion phase in which they selected and refined their ideas for a new sport. The number of ideas and their novelty during the divergent phase did not influence the outcome of the convergent phase. However, consistent with our theoretical model final product novelty was influenced by the number and novelty of the replies in the divergent phase. Although group expertise level was associated with various performance outcomes in the divergent ideation phase, it did not impact the novelty of the final product. Low expertise groups demonstrated the most novelty in the divergent phase. Final product novelty was also associated with sports words used in discussions during the convergent phase.

Enhancing Collaborative Ideation in Organizations.

Extensive research and theory has focused on organizational innovation and the organizational factors that influence that innovation. Research on teams has highlighted a similar set of factors as important for team innovation. However, these literatures have not provided a clear picture of the key factors that influence the collaborative idea exchange processes that occur in teams and organizations. The literature on collaborative ideation has provides a useful theoretical and empirical basis for understanding these processes and the conditions required for optimizing creativity in group interactions. We provide the theoretical and empirical basis for a pragmatic approach to enhancing collaborative innovation processes in various organizational settings and highlight additional research needs and future directions.

Asynchronous Brainstorming in an Industrial Setting: Exploratory Studies.

OBJECTIVE: The goal of this study was to examine the effectiveness of brainwriting in an industrial setting. BACKGROUND: Research has demonstrated that group interaction can inhibit idea generation. Written exchanges of ideas in groups have been found to be an effective way to increase idea generation. To our knowledge, no study has examined the potential of brainwriting for group idea generation in work settings or the impact of different sequences of group and individual idea generation. METHOD: Participants in a high-technology company participated in two brainwriting studies. In one study, participants generated ideas either first alone and then in a group or in the reverse order. In a second study, participants either generated as a group during the entire session or alternated individual ideation with a periodic review of the group's ideas. RESULTS: In the first study, participants who generated ideas first as a group and then as individuals performed best. In the first session, group writing also tended to lead to more ideas than did individual writing. In the second study, participants with periodic reviews performed best. CONCLUSION: The results suggest that alternation in individual and group brainwriting can enhance the number of ideas generated. The group-to-alone sequence is also beneficial since it allows group members to build on shared ideas. APPLICATION: This research indicates that collaborative idea sessions can be beneficial in work sessions if the brainwriting paradigm is used with an appropriate alternation of group ideation or review sessions with individual idea generation sessions.

Code-switching across brainstorming sessions: implications for the revised hierarchical model of bilingual language processing.

The revised hierarchical model (RHM) of bilingual language processing posits independent word form representations for the dominant language (L1) and the nondominant language (L2), facilitated translation from L2 words to L1 words, access to common concepts for L1 and L2, and stronger activation of concepts for L1 than for L2. Spanish-English and English-Spanish bilinguals brainstormed for two sessions; half switched languages (L1-L2 or L2-L1) and half stayed in the same language (L1-L1 or L2-L2) across sessions. In both sessions, L1 brainstorming resulted in more efficient idea productivity than L2 brainstorming, supporting stronger concept activation for L1, consistent with the RHM. Switching languages from L2 to L1 resulted in the most efficient idea productivity in Session 2, suggesting that switching to L1 not only permits strong concept activation, but also the activation of concepts that are relatively different than those activated by L2, inconsistent with the RHM. Switching languages increased the proportion of Session 1 ideas repeated during Session 2, despite instructions not to repeat. This finding suggests that there is activation of concepts as well as word forms in same language brainstorming and that this dual activation aids in following instructions not to repeat, consistent with the RHM. It is suggested that the RHM be re-specified to accommodate the notion that L1 and L2 access relatively different concepts.

Neural dynamics of idea generation and the effects of priming.

Idea generation is a fundamental attribute of the human mind, but the cognitive and neural mechanisms underlying this process remain unclear. In this paper, we present a dynamic connectionist model for the generation of ideas within a brainstorming context. The key hypothesis underlying the model is that ideas emerge naturally from itinerant attractor dynamics in a multi-level, modular semantic space, and the potential surface underlying this dynamics is itself shaped dynamically by task context, ongoing evaluative feedback, inhibitory modulation, and short-term synaptic modification. While abstract, the model attempts to capture the interplay between semantic representations, working memory, attentional selection, reinforcement signals, and modulation. We show that, once trained on a set of contexts and ideas, the system can rapidly recall stored ideas in familiar contexts, and can generate novel ideas by efficient, multi-level dynamical search in both familiar and unfamiliar contexts. We also use a simplified continuous-time instantiation of the model to explore the effect of priming on idea generation. In particular, we consider how priming low-accessible categories in a connectionist semantic network can lead to the generation of novel ideas. The mapping of the model onto various regions and modulatory processes in the brain is also discussed briefly.