Group creativity and innovation: A motivated information processing perspective.

2011 ◽  
Vol 5 (1) ◽  
pp. 81-89 ◽  
Author(s):  
Carsten K. W. De Dreu ◽  
Bernard A. Nijstad ◽  
Myriam N. Bechtoldt ◽  
Matthijs Baas
Keyword(s):  
Information Processing ◽  
Group Creativity ◽  
Information Processing Perspective ◽  
Motivated Information Processing ◽  
Creativity And Innovation

Motivated information processing, social tuning, and group creativity.

2010 ◽  
Vol 99 (4) ◽  
pp. 622-637 ◽  
Author(s):  
Myriam N. Bechtoldt ◽  
Carsten K. W. De Dreu ◽  
Bernard A. Nijstad ◽  
Hoon-Seok Choi
Keyword(s):  
Information Processing ◽  
Group Creativity ◽  
Social Tuning ◽  
Motivated Information Processing

Information Processing, Motivation, and Group Creativity

2019 ◽  
pp. 85-102
Author(s):  
Bernard A. Nijstad ◽  
Myriam Bechtoldt ◽  
Hoon-Seok Choi
Keyword(s):  
Information Processing ◽  
Cognitive Stimulation ◽  
Collaborative Problem Solving ◽  
Group Level ◽  
Group Creativity ◽  
Individual Level ◽  
Level Information ◽  
Motivated Information Processing ◽  
Processing Motivation ◽  
The Individual

According to an information processing perspective, group creativity results from the combination of individual resources into a (creative) group product. This involves information processing at the individual as well as the group level (by means of communication). This chapter first discusses how individual-level information processing is affected by group interaction in terms of both cognitive interference and cognitive stimulation. It then discusses (1) the evidence linking group-level information processing (i.e., communication, information sharing, collaborative problem solving) to group creativity and (2) the factors that stimulate or reduce group-level information processing. It is argued that many research findings can be explained by assuming that group creativity involves motivated information processing of members.

scholarly journals Membership change, idea generation, and group creativity: A motivated information processing perspective

2021 ◽  
pp. 136843022199945
Author(s):  
Suqing Wu ◽  
Bernard A. Nijstad ◽  
Yingjie Yuan
Keyword(s):  
Information Processing ◽  
Idea Generation ◽  
Group Creativity ◽  
Student Groups ◽  
Membership Change ◽  
Prosocial Motivation ◽  
Processing Theory ◽  
Group Members ◽  
Motivated Information Processing ◽  
Radical Ideas

Membership change has been found to stimulate collective idea generation but to not always benefit group creativity—the generation of final outcomes that are novel and useful. Based on motivated information processing theory, we propose that membership change challenges group members to generate more ideas, but that this only contributes to group creativity when members have high levels of prosocial motivation and are willing to process and integrate each other’s ideas. In a laboratory study of 56 student groups, we found that incremental, but not radical, idea generation mediated the positive effect of membership change on group creativity, and only when group members were prosocially motivated. The present study points to different roles of incremental versus radical ideas and underscores the importance of accounting for prosocial motivation in groups for reaping the benefits of membership change in relation to group creativity.

The creating force of minority dissent: A motivated information processing perspective

2008 ◽  
Vol 3 (4) ◽  
pp. 267-285 ◽  
Author(s):  
Carsten K. W. De Dreu ◽  
Bernard A. Nijstad ◽  
Matthijs Baas ◽  
Myriam N. Bechtoldt
Keyword(s):  
Information Processing ◽  
Information Processing Perspective ◽  
Minority Dissent ◽  
Motivated Information Processing

Motivated information processing and group creativity

2008 ◽  
Author(s):  
Myriam Bechtoldt ◽  
Carsten De Dreu ◽  
Bernard Nijstad
Keyword(s):  
Information Processing ◽  
Group Creativity ◽  
Motivated Information Processing

The perception of humanness in conversational journalism: An algorithmic information-processing perspective

2021 ◽  
pp. 146144482199380
Author(s):  
Donghee Shin
Keyword(s):  
Artificial Intelligence ◽  
Information Processing ◽  
Cognitive Model ◽  
Human Beings ◽  
User Perception ◽  
User Experiences ◽  
Step Flow ◽  
Algorithmic Information ◽  
Information Processing Perspective ◽  
Practical Implications

How much do anthropomorphisms influence the perception of users about whether they are conversing with a human or an algorithm in a chatbot environment? We develop a cognitive model using the constructs of anthropomorphism and explainability to explain user experiences with conversational journalism (CJ) in the context of chatbot news. We examine how users perceive anthropomorphic and explanatory cues, and how these stimuli influence user perception of and attitudes toward CJ. Anthropomorphic explanations of why and how certain items are recommended afford users a sense of humanness, which then affects trust and emotional assurance. Perceived humanness triggers a two-step flow of interaction by defining the baseline to make a judgment about the qualities of CJ and by affording the capacity to interact with chatbots concerning their intention to interact with chatbots. We develop practical implications relevant to chatbots and ascertain the significance of humanness as a social cue in CJ. We offer a theoretical lens through which to characterize humanness as a key mechanism of human–artificial intelligence (AI) interaction, of which the eventual goal is humans perceive AI as human beings. Our results help to better understand human–chatbot interaction in CJ by illustrating how humans interact with chatbots and explaining why humans accept the way of CJ.

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