Reading the Mind in the Eyes or Reading between the Lines? Theory of Mind Predicts Collective Intelligence Equally Well Online and Face-To-Face

Engel, David; Woolley, Anita Williams; Jing, Lisa X.; Chabris, Christopher F.; Malone, Thomas W.

doi:10.1371/journal.pone.0115212

Cited by 207 publications

(229 citation statements)

References 55 publications

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“…The average social perceptiveness of the team members is predictive of collective intelligence [11]. Second, in both laboratory and field studies, researchers have found that greater amounts of participation and more equal participation are associated with higher collective intelligence [8,11].…”

Section: Collective Intelligencementioning

confidence: 99%

Teamwork in Health Care: Maximizing Collective Intelligence via Inclusive Collaboration and Open Communication

Mayo¹,

Woolley

2016

AMA Journal of Ethics

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Teams offer the potential to achieve more than any person could achieve working alone; yet, particularly in teams that span professional boundaries, it is critical to capitalize on the variety of knowledge, skills, and abilities available. This article reviews research from the field of organizational behavior to shed light on what makes for a collectively intelligent team. In doing so, we highlight the importance of moving beyond simply including smart people on a team to thinking about how those people can effectively coordinate and collaborate. In particular, we review the importance of two communication processes: ensuring that team members with relevant knowledge (1) speak up when one's expertise can be helpful and (2) influence the team's work so that the team does its collective best for the patient. The Promise and Challenge of Team-Based Cross-Disciplinary Collaboration in Health CareAcross health care, there is an increasing reliance on teams from a variety of specialties (e.g., nursing, physician specialties, physical therapy, social work) to care for patients. At the same time, medical error is estimated to be "the third most common cause of death in the US" [1], and teamwork failures (e.g., failures in communication) account for up to 70-80 percent of serious medical errors [2][3][4][5]. The shift to providing care in teams is well founded given the potential for improved performance that comes with teamwork [6], but, as demonstrated by these grave statistics, teamwork does not come without challenges. Consequently, there is a critical need for health care professionals, particularly those in leadership roles, to consider strategies for improving team-based approaches to providing quality patient care.Teams offer the promise to improve clinical care because they can aggregate, modify, combine, and apply a greater amount and variety of knowledge in order to make decisions, solve problems, generate ideas, and execute tasks more effectively and efficiently than any individual working alone [6]. Given this potential, a multidisciplinary team of health care professionals could ideally work together to determine diagnoses,

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Section: Collective Intelligencementioning

confidence: 99%

Teamwork in Health Care: Maximizing Collective Intelligence via Inclusive Collaboration and Open Communication

Mayo¹,

Woolley

2016

AMA Journal of Ethics

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“…They found, "surprisingly, the most important ingredients for a smart team remained constant regardless of its mode of interaction: members who communicated a lot, participated equally and possessed good emotion-reading skills." 15,16 Consistent with this study,…”

Section: Meetsupporting

confidence: 87%

Teaching with Graduate Teaching Assistants: Tips for Promoting High Performance Instructional Teams

Ciston¹,

Cerretani²,

Went³

2016 ASEE Annual Conference &Amp; Exposition Proceedings

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Many engineering faculty work with graduate teaching assistants (TAs) to conduct their classes. An effective partnership and clear delineation of responsibilities can have a meaningful positive impact on the teaching and learning experience. This paper provides guidelines for working with graduate teaching assistants by applying the five principles of high-performance engineering teams described by Jon R. Katzenbach and Douglas K. Smith, 1 and adapted by Karl Smith and others for collaborative learning: 2 face-to-face promotive interaction, positive interdependence, group and individual accountability, teamwork skills, and group processing. Perspectives are shared from engineering faculty who work with graduate teaching assistants in lecture, laboratory, and professional skills courses, and consideration is paid to small teams (1-3) and large teams (8+) of teaching assistants. Best practices in organization, clarity of expectations, leadership, communication, and emotional intelligence emerge.

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“…This test has been applied in several experience related with collective intelligence measure applied for getting the level of social sensitivity [6][16] [4][16]. In this test, a participant is presented with a series of 35 photographs of the eye-region of the face of different actors and actresses, and is asked to choose which of four words best describes what the person in the photograph is thinking or feeling.…”

Section: Reading the Mind In The Eyes Testmentioning

confidence: 99%

Fostering the Reduction of Assortative Mixing or Homophily Into the Class

Meza¹,

Ortiz²,

Mezquita³

et al. 2017

INTED Proceedings

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Abstract.Human societies from the outset have been associated according to race, beliefs, religion, social level, and the like. These behaviors continue even today in the classroom at primary, middle, and superior levels. However, the growth of ICT offers educational researchers new ways to explore methods of team formation that have been proven to be efficient in the field of serious games through the use of computer networks. The selection process of team members in serious games with the use of computer networks is carried out according to their performance in the area of the game without distinction of social variables.The use of serious games in education has been discussed in multiple research studies, which state that its application in teaching and learning processes are changing the way of teaching. This article presents an exploratory analysis of the team formation process based on collaboration with ICT tools of collective intelligence labelled The best team (TBT). The process and its ICT tool combine the paradigms of creativity in swarming, collective intelligence, serious games, and social computing in order to capture the participants' emotions and evaluate contributions.Based on the results, we consider that the use of new forms of teaching and learning based on the emerging paradigms is necessary. Therefore, TBT is a tool that could become an effective way to encourage the formation of work groups by evaluating objective variable of performance of its members in collaborative works.

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Reading the Mind in the Eyes or Reading between the Lines? Theory of Mind Predicts Collective Intelligence Equally Well Online and Face-To-Face

Cited by 207 publications

References 55 publications

Teamwork in Health Care: Maximizing Collective Intelligence via Inclusive Collaboration and Open Communication

Teamwork in Health Care: Maximizing Collective Intelligence via Inclusive Collaboration and Open Communication

Teaching with Graduate Teaching Assistants: Tips for Promoting High Performance Instructional Teams

Fostering the Reduction of Assortative Mixing or Homophily Into the Class

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