Humans will soon need to adapt to a collaborative setting in which technology becomes a smart collaboration partner that works with a group to achieve its goals. It is therefore time for collaboration researchers to explore the vast opportunities afforded by smart technology and to test its utility for enhancing team processes and outcomes. In this paper, we take a long view on the implications of smart technology for collaboration process design, and propose a research agenda for the next decade of collaboration research. We create a reference model to frame the research agenda.
%0 Conference Paper
%1 ls_leimeister
%A Seeber, Isabella
%A Bittner, Eva
%A Briggs, Robert O.
%A De Vreede, Gert-Jan
%A De Vreede, Triparna
%A Druckenmiller, Douglas
%A Maier, Ronald
%A Merz, Alexander B.
%A Oeste-Reiß, Sarah
%A Randrup, Nils
%A Schwabe, Gerhard
%A Söllner, Matthias
%B Hawaii International Conference on System Sciences (HICSS)
%D 2018
%K Artificial_Intelligence Collaboration Collaboration_Engineering Reference_Model Research_Agenda cepub itegpub pub_msö pub_soe
%P 420-429
%T Machines as Teammates: A Collaboration Research Agenda
%U http://pubs.wi-kassel.de/wp-content/uploads/2018/01/JML_675.pdf
%X Humans will soon need to adapt to a collaborative setting in which technology becomes a smart collaboration partner that works with a group to achieve its goals. It is therefore time for collaboration researchers to explore the vast opportunities afforded by smart technology and to test its utility for enhancing team processes and outcomes. In this paper, we take a long view on the implications of smart technology for collaboration process design, and propose a research agenda for the next decade of collaboration research. We create a reference model to frame the research agenda.
%@ 978-0-9981331-1-9
@inproceedings{ls_leimeister,
abstract = {Humans will soon need to adapt to a collaborative setting in which technology becomes a smart collaboration partner that works with a group to achieve its goals. It is therefore time for collaboration researchers to explore the vast opportunities afforded by smart technology and to test its utility for enhancing team processes and outcomes. In this paper, we take a long view on the implications of smart technology for collaboration process design, and propose a research agenda for the next decade of collaboration research. We create a reference model to frame the research agenda.},
added-at = {2017-09-16T12:27:26.000+0200},
author = {Seeber, Isabella and Bittner, Eva and Briggs, Robert O. and De Vreede, Gert-Jan and De Vreede, Triparna and Druckenmiller, Douglas and Maier, Ronald and Merz, Alexander B. and Oeste-Reiß, Sarah and Randrup, Nils and Schwabe, Gerhard and Söllner, Matthias},
biburl = {https://www.bibsonomy.org/bibtex/2bfef3e7e3c4ff1bd1ff11f31dff4ebaa/ls_leimeister},
booktitle = {Hawaii International Conference on System Sciences (HICSS)},
eventdate = {03.01.2018-06.01.2018},
eventtitle = {Hawaii International Conference on System Sciences (HICSS)},
interhash = {b64c889519a1b7686330e597d1da386a},
intrahash = {bfef3e7e3c4ff1bd1ff11f31dff4ebaa},
isbn = {978-0-9981331-1-9},
keywords = {Artificial_Intelligence Collaboration Collaboration_Engineering Reference_Model Research_Agenda cepub itegpub pub_msö pub_soe},
pages = {420-429},
timestamp = {2021-07-27T16:06:30.000+0200},
title = {Machines as Teammates: A Collaboration Research Agenda},
url = {http://pubs.wi-kassel.de/wp-content/uploads/2018/01/JML_675.pdf},
venue = {Waikoloa, Hawaii, USA},
year = 2018
}