{"id":7446,"date":"2016-12-01T14:41:00","date_gmt":"2018-05-30T14:35:00","guid":{"rendered":"https:\/\/mediax.stanford.edu\/spd-fruchter\/"},"modified":"2018-11-15T13:44:42","modified_gmt":"2018-11-15T21:44:42","slug":"spd-law","status":"publish","type":"page","link":"https:\/\/mediax.stanford.edu\/research-projects\/spd-law\/","title":{"rendered":"Interaction Archetypes in Global Teamwork (Arche)"},"content":{"rendered":"

From The Theme<\/em>
\nCONTEXTUAL FUTURES FOR SMART PERSONAL DEVICES<\/a><\/strong><\/p>\n

WHAT IF?<\/strong>
\nWhat if ubiquitous wearable sensors and smart devices could be leveraged to augment global team interaction, improve team dynamics, and unlock new team potential?<\/p>\n

\"Archetypes<\/p>\n

WHAT WE SET OUT TO DO<\/strong>
\nWe proposed Arche, a concept-proving project aimed at uncovering interaction archetypes in global teamwork in a project-based learning context that educates the next generation workforce. The Arche project set out to integrate team members\u2019 biometrics and psycho-physiological sensor data in order to formalize interaction archetypes and improve team dynamics and well-being. Statistical analysis and machine learning algorithms were used to detect patterns and uncover better ways to quantify and analyze interactions in global teamwork.<\/p>\n

WHAT WE FOUND<\/strong>
\nWe leveraged quantitative and qualitative data from global project team meetings to explore and develop innovative analytics, indicators, visualizations and feedback mechanisms. We also identified and visualized mood, arousal, valence, movement and temper at individual and group levels. On the basis of this multifaceted data, we developed performance indicators for productive, disruptive, and less effective interaction archetypes.<\/p>\n

These powerful interaction archetypes provide a fresh lens through which researchers and educators can examine distributed education programs and distributed knowledge work settings. These investigations can serve to improve collaborative distance-learning and knowledge work, and provide recommendations for further developments of smart devices, applications, and workspaces to improve learning, teamwork, and productivity.<\/p>\n

LEARN MORE<\/strong>
\nmediaX Research Update, Fall 2016<\/a><\/p>\n

PBL Lab<\/a><\/p>\n

Frank, M., Fruchter, R., and Leinikka, M. (2016) \u201cGlobal Teamwork: Components of Engaging and Productive Meetings<\/a>\u201d ICCCBE-XVI 16th International Conference on Computing in Civil and Building Engineering, Osaka, July 2016<\/p>\n

Frank, Maria & Tofighi, Ghassem & Gu, Haisong & Fruchter, Renate. (2016). \u201cEngagement Detection in Meetings<\/a>.\u201d International Conference on Computing in Civil and Building Engineering, ICCCBE 2016<\/p>\n

Fruchter, R. & Medlock, L. (2015) \u201cA Journey from Islands of Knowledge to Mutual Understanding in Global Business Meetings<\/a>,\u201d AI & Soc. 2015. 30:4. 477-419. doi:10.1007\/s00146-014-0558-3<\/p>\n

PEOPLE BEHIND THE PROJECT<\/strong>
\n\"KinchoKincho Law<\/a><\/strong> is Professor of Civil and Environmental Engineering Structural Engineering and Engineering Informatics. Professor Law\u2019s professional and research interests focus on the applications of computational and information science in engineering. His work has dealt with various aspects of computational science and engineering, computer aided design, legal and engineering informatics, engineering enterprise integration, web services and Internet computing.<\/p>\n

\"RenateRenate Fruchter<\/a><\/strong> is the founding director of the Project Based Learning Laboratory (PBL Lab), lecturer in the Department of Civil and Environmental Engineering, and Senior Research Engineer thrust leader of \u201cCollaboration Technologies\u201d at the Center for Integrated Facilities Engineering (CIFE), at Stanford. She leads a research effort to develop collaboration technologies for multidisciplinary, geographically distributed teamwork, and e-Learning.<\/p>\n

\"FlaviaFlavia Grey<\/a><\/strong> is a Ph.D. Candidate in Civil and Environmental Engineering at Stanford University, where she got her Master\u2019s degree in Sustainable Design and Construction. She has a Bachelor\u2019s degree in Mechatronics Engineering from Universidad Panamericana in Mexico City. Her research leverages the latest sensor technologies to address the need to raise occupant awareness of their psycho-physiological state towards enhancing well-being and improving knowledge work productivity, and for buildings to dynamically support this effort in a sustainable manner.<\/p>\n

\"YaelYael Cohen<\/a><\/strong> is a MA student in Learning Design and Technology at Stanford\u2019s Graduate School of Education. She served as a Research Assistant in the PBL from 2016-2017.<\/p>\n","protected":false},"excerpt":{"rendered":"

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