@article {Roccetti2020,
	title = {A Cautionary Tale for Machine Learning Design: why we Still Need Human-Assisted Big Data Analysis},
	journal = {Mobile Networks and Applications},
	volume = {25},
	number = {3},
	year = {2020},
	pages = {1075{\textendash}1083},
	publisher = {Mobile Networks and Applications},
	abstract = {Supervised Machine Learning (ML) requires that smart algorithms scrutinize a very large number of labeled samples before they can make right predictions. And this is not always true either. In our experience, in fact, a neural network trained with a huge database comprised of over fifteen million water meter readings had essentially failed to predict when a meter would malfunction/need disassembly based on a history of water consumption measurements. With a second step, we developed a methodology, based on the enforcement of a specialized data semantics, that allowed us to extract only those samples for training that were not noised by data impurities. With this methodology, we re-trained the neural network up to a prediction accuracy of over 80\%. Yet, we simultaneously realized that the new training dataset was significantly different from the initial one in statistical terms, and much smaller, as well. We had reached a sort of paradox: We had alleviated the initial problem with a better interpretable model, but we had changed the replicated form of the initial data. To reconcile that paradox, we further enhanced our data semantics with the contribution of field experts. This has finally led to the extrapolation of a training dataset truly representative of regular/defective water meters and able to describe the underlying statistical phenomenon, while still providing an excellent prediction accuracy of the resulting classifier. At the end of this path, the lesson we have learnt is that a human-in-the-loop approach may significantly help to clean and re-organize noised datasets for an empowered ML design experience.},
	keywords = {Human-in-the-loop methods, Human-machine-Bigdata interaction loop, Machine learning design, Smart data, Water metering and consumption},
	issn = {15728153},
	doi = {10.1007/s11036-020-01530-6},
	author = {Roccetti, Marco and Delnevo, Giovanni and Casini, Luca and Salomoni, Paola}
}
@article {Kassens-Noor2020,
	title = {Cities of the Future? The Potential Impact of Artificial Intelligence},
	journal = {AI},
	volume = {1},
	number = {2},
	year = {2020},
	pages = {192{\textendash}197},
	abstract = {Artificial intelligence (AI), like many revolutionary technologies in human history, will have a profound impact on societies. From this viewpoint, we analyze the combined effects of AI to raise important questions about the future form and function of cities. Combining knowledge from computer science, urban planning, and economics while reflecting on academic and business perspectives, we propose that the future of cities is far from being a determined one and cities may evolve into ghost towns if the deployment of AI is not carefully controlled. This viewpoint presents a fundamentally different argument, because it expresses a real concern over the future of cities in contrast to the many publications who exclusively assume city populations will increase predicated on the neoliberal urban growth paradigm that has for centuries attracted humans to cities in search of work.},
	keywords = {artificial intelligence, autonomous vehicle, future, smart cities, work},
	issn = {2673-2688},
	doi = {10.3390/ai1020012},
	author = {Kassens-Noor, Eva and Hintze, Arend}
}
@article {Acemoglu2020,
	title = {Competing with Robots: Firm-Level Evidence from France},
	journal = {AEA Papers and Proceedings},
	volume = {110},
	year = {2020},
	pages = {383{\textendash}388},
	abstract = {We study the firm-level implications of robot adoption in France. Of 55,390 firms in our sample, 598 adopted robots between 2010 and 2015, but these firms accounted for 20 percent of manufacturing employment. Adopters experienced significant declines in labor shares, the share of production workers in employment, and increases in value added and productivity. They expand their overall employment as well. However, this expansion comes at the expense of competitors, leading to an overall negative association between adoption and employment. Robot adoption has a large impact on the labor share because adopters are larger and grow faster than their competitors.},
	keywords = {automation, competition, j23, j24, jel codes, l11, labor share, manufacturing, productivity, reallocation, robots, tasks},
	issn = {2574-0768},
	doi = {10.1257/pandp.20201003},
	author = {Acemoglu, Daron and Lelarge, Claire and Restrepo, Pascual}
}
@conference {Gerber2020,
	title = {Conceptualization of the Human-Machine Symbiosis {\textendash} A Literature Review},
	booktitle = {Proceedings of the 53rd Hawaii International Conference on System Sciences},
	volume = {3},
	year = {2020},
	pages = {289{\textendash}298},
	abstract = {The vision of a symbiotic partnership between humans and machines has existed since the 1960s. With this paper we provide the first conceptualization of the human-machine symbiosis (HMS) and make three important contributions: we present the fundamentals of HMS by focusing on objectives, requirements, and boundaries; we propose a framework for the design of HMS; and we review HMS research and, specifically, what the literature says with respect to whether HMS has already been achieved.},
	isbn = {9780998133133},
	doi = {10.24251/hicss.2020.036},
	author = {Gerber, Alina and Derckx, Patrick and D{\"o}ppner, Daniel A and Schoder, Detlef}
}
@article {Zavrsnik2020,
	title = {Criminal justice, artificial intelligence systems, and human rights},
	journal = {ERA Forum},
	volume = {20},
	number = {4},
	year = {2020},
	pages = {567{\textendash}583},
	publisher = {The Author(s)},
	abstract = {The automation brought about by big data analytics, machine learning and artificial intelligence systems challenges us to reconsider fundamental questions of criminal justice. The article outlines the automation which has taken place in the criminal justice domain and answers the question of what is being automated and who is being replaced thereby. It then analyses encounters between artificial intelligence systems and the law, by considering case law and by analysing some of the human rights affected. The article concludes by offering some thoughts on proposed solutions for remedying the risks posed by artificial intelligence systems in the criminal justice domain.},
	keywords = {Algorithms, artificial intelligence, automation, Criminal justice, Fair trial, Human rights},
	isbn = {1202702000602},
	issn = {18639038},
	doi = {10.1007/s12027-020-00602-0},
	url = {http://dx.doi.org/10.1007/s12027-020-00602-0},
	author = {Zavr{\v s}nik, Ale{\v s}}
}
@article {2019,
	title = {Can nurses remain relevant in a technologically advanced future?},
	journal = {International Journal of Nursing Sciences},
	volume = {6},
	year = {2019},
	month = {Jan-01-2019},
	pages = {106 - 110},
	issn = {23520132},
	doi = {10.1016/j.ijnss.2018.09.013},
	author = {Pepito, Joseph Andrew and Locsin, Rozzano}
}
@conference {2019,
	title = {A chatbot for supporting teams in the empathy map method},
	booktitle = {Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences},
	year = {2019},
	publisher = {Hawaii International Conference on System Sciences},
	organization = {Hawaii International Conference on System Sciences},
	doi = {10.24251/HICSS.2019.029},
	author = {Bittner, Eva and Shoury, Omid}
}
@article {2019,
	title = {Citizen attitudes about job replacement by robotic automation},
	journal = {Futures},
	volume = {109},
	year = {2019},
	month = {Jan-05-2019},
	pages = {39 - 49},
	issn = {00163287},
	doi = {10.1016/j.futures.2019.04.005},
	author = {Nam, Taewoo}
}
@article {2019,
	title = {Cognitively enhanced products, output growth, and labor market changes: Will artificial intelligence replace workers by automating their jobs? },
	journal = {Economics, Management, and Financial Markets},
	volume = {14},
	year = {2019},
	month = {Jan-01-2019},
	pages = {38},
	issn = {1842-3191},
	doi = {10.22381/EMFM14120194}
}
@article {2019,
	title = {Collaboration and delegation between humans and AI: An experimental investigation of the future of work},
	journal = {SSRN Electronic Journal},
	year = {2019},
	month = {Jan-01-2019},
	doi = {10.2139/ssrn.3368813},
	author = {F{\"u}gener, Andreas and Grahl, J{\"o}rn and Gupta, Alok and Ketter, Wolfgang}
}
@article {2019,
	title = {Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark},
	journal = {European Journal of Cancer},
	volume = {111},
	year = {2019},
	month = {Jan-04-2019},
	pages = {30 - 37},
	issn = {09598049},
	doi = {10.1016/j.ejca.2018.12.016},
	author = {Brinker, Titus J. and Hekler, Achim and Hauschild, Axel and Berking, Carola and Schilling, Bastian and Alexander Enk and Haferkamp, Sebastian and Karoglan, Ante and von Kalle, Christof and Weichenthal, Michael and Sattler, Elke and Schadendorf, Dirk and Gaiser, Maria R. and Klode, Joachim and Jochen Sven Utikal}
}
@conference {2019,
	title = {Consider the human work experience when integrating robotics in the workplace},
	booktitle = {2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)},
	year = {2019},
	pages = {75 - 84},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Daegu, Korea (South)},
	doi = {10.1109/HRI.2019.8673139},
	url = {https://ieeexplore.ieee.org/document/8673139/http://xplorestaging.ieee.org/ielx7/8666012/8673065/08673139.pdf?arnumber=8673139},
	author = {Welfare, Katherine S. and Hallowell, Matthew R. and Shah, Julie A. and Riek, Laurel D.}
}
@article {2019,
	title = {A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task},
	journal = {European Journal of Cancer},
	volume = {111},
	year = {2019},
	month = {Jan-04-2019},
	pages = {148 - 154},
	issn = {09598049},
	doi = {10.1016/j.ejca.2019.02.005},
	author = {Brinker, Titus J. and Hekler, Achim and Alexander Enk and Klode, Joachim and Hauschild, Axel and Berking, Carola and Schilling, Bastian and Haferkamp, Sebastian and Schadendorf, Dirk and Fr{\"o}hling, Stefan and Jochen Sven Utikal and von Kalle, Christof and Ludwig-Peitsch, Wiebke and Sirokay, Judith and Heinzerling, Lucie and Albrecht, Magarete and Baratella, Katharina and Bischof, Lena and Chorti, Eleftheria and Dith, Anna and Drusio, Christina and Giese, Nina and Gratsias, Emmanouil and Griewank, Klaus and Hallasch, Sandra and Hanhart, Zdenka and Herz, Saskia and Hohaus, Katja and Jansen, Philipp and Jockenh{\"o}fer, Finja and Kanaki, Theodora and Knispel, Sarah and Leonhard, Katja and Martaki, Anna and Matei, Liliana and Matull, Johanna and Olischewski, Alexandra and Petri, Maximilian and Placke, Jan-Malte and Raub, Simon and Salva, Katrin and Schlott, Swantje and Sody, Elsa and Steingrube, Nadine and Stoffels, Ingo and Ugurel, Selma and Sondermann, Wiebke and Zaremba, Anne and Gebhardt, Christoffer and Booken, Nina and Christolouka, Maria and Buder-Bakhaya, Kristina and Bokor-Billmann, Therezia and Alexander Enk and Gholam, Patrick and H{\"a}n{\ss}le, Holger and Salzmann, Martin and Sch{\"a}fer, Sarah and Sch{\"a}kel, Knut and Schank, Timo and Bohne, Ann-Sophie and Deffaa, Sophia and Drerup, Katharina and Egberts, Friederike and Erkens, Anna-Sophie and Ewald, Benjamin and Falkvoll, Sandra and Gerdes, Sascha and Harde, Viola and Hauschild, Axel and Jost, Marion and Kosova, Katja and Messinger, Laetitia and Metzner, Malte and Morrison, Kirsten and Motamedi, Rogina and Pinczker, Anja and Rosenthal, Anne and Scheller, Natalie and Schwarz, Thomas and St{\"o}lzl, Dora and Thielking, Federieke and Tomaschewski, Elena and Wehkamp, Ulrike and Weichenthal, Michael and Wiedow, Oliver and B{\"a}r, Claudia Maria and Bender-S{\"a}belkampf, Sophia and Horbr{\"u}gger, Marc and Karoglan, Ante and Kraas, Luise and Faulhaber, J{\"o}rg and Geraud, Cyrill and Guo, Ze and Koch, Philipp and Linke, Miriam and Maurier, Nolwenn and M{\"u}ller, Verena and Thomas, Benjamin and Jochen Sven Utikal and Alamri, Ali Saeed M. and Baczako, Andrea and Berking, Carola and Betke, Matthias and Haas, Carolin and Hartmann, Daniela and Heppt, Markus V. and Kilian, Katharina and Krammer, Sebastian and Lapczynski, Natalie Lidia and Mastnik, Sebastian and Nasifoglu, Suzan and Ruini, Cristel and Sattler, Elke and Schlaak, Max and Wolff, Hans and Achatz, Birgit and Bergbreiter, Astrid and Drexler, Konstantin and Ettinger, Monika and Haferkamp, Sebastian and Halupczok, Anna and Hegemann, Marie and Dinauer, Verena and Maagk, Maria and Mickler, Marion and Philipp, Biance and Wilm, Anna and Wittmann, Constanze and Gesierich, Anja and Glutsch, Valerie and Kahlert, Katrin and Kerstan, Andreas and Schilling, Bastian and Schr{\"u}fer, Philipp}
}
@article {2018,
	title = {Can artificial intelligence make work more human?},
	journal = {Strategic HR Review},
	volume = {17},
	year = {2018},
	month = {Aug-10-2018},
	pages = {263 - 264},
	issn = {1475-4398},
	doi = {10.1108/SHR-10-2018-146},
	author = {He, Emily}
}
@article {2018,
	title = {Character qualities and the imagination age},
	journal = {Creative Education},
	volume = {09},
	year = {2018},
	month = {Jan-01-2018},
	pages = {152 - 164},
	issn = {2151-4755},
	doi = {10.4236/ce.2018.92012},
	author = {Alvarez, Mar{\'\i}a Garc{\'\i}a}
}
@article {2018,
	title = {Chat bots are the new HR managers},
	journal = {Strategic HR Review},
	volume = {17},
	year = {2018},
	month = {Nov-06-2018},
	pages = {162 - 163},
	issn = {1475-4398},
	doi = {10.1108/SHR-03-2018-0024},
	author = {Sheth, Beerud}
}
@article {2018,
	title = {Cognitive and technological aspects of e-learning in context of robotization},
	journal = {Cognitive Science {\textendash} New Media {\textendash} Education},
	volume = {3},
	year = {2018},
	month = {Mar-06-2020},
	pages = {65},
	abstract = {The development of e-learning education led to the emergence of two main problems of such form of education, which are the user-system interaction from the cognitive prospective, and the analysis of massive data received out of students{\textquoteright} activity.  The development of artificial intelligence concepts and robotic process automation (RPA) tools, both problems might be solved in a more efficient way. The article presents the intelligent system of feedbacks, realized as JavaScript extension to Moodle platform, which intends to strength cognitive output of the preformed learning activity, creating an illusion of the trainer{\textquoteright}s presence and, therefore, contribute to the resolution of the first problem. The resolution of the second problem is proposed using artificial intelligence worker built in Blue Prism RPA platform, which performs validation of test questions upon strict criteria of selection. Such validation process allows to select the questions which are coherent with the index of complexity and the index of differentiation capacity.},
	keywords = {artificial intelligence worker, Blue Prism automation, intelligent system of feedbacks, robotic process automation},
	issn = {2543-506X},
	doi = {10.12775/CSNME.2017.013},
	url = {http://apcz.umk.pl/czasopisma/index.php/CSNME/article/view/CSNME.2017.013},
	author = {Shvets, Anna and Shvets, Valentyna}
}
@article {2018,
	title = {Collaborative intelligence: Humans and AI are joining forces},
	year = {2018},
	url = {https://hbr.org/2018/07/collaborative-intelligence-humans-and-ai-are-joining-forces},
	author = {H. James Wilson and Paul R. Daugherty}
}
@article {2018,
	title = {Comment on {\textquotedblleft}Should we fear the robot revolution? (The correct answer is yes){\textquotedblright} by Andrew Berg, Ed Buffie, and Felipe Zanna},
	journal = {Journal of Monetary Economics},
	volume = {97},
	year = {2018},
	month = {Jan-08-2018},
	pages = {149 - 152},
	issn = {03043932},
	doi = {10.1016/j.jmoneco.2018.05.012},
	author = {Hanley, Douglas}
}
@article {2018,
	title = {Computational power and the social impact of artificial intelligence},
	journal = {SSRN Electronic Journal},
	year = {2018},
	abstract = {Machine learning is computational process. To that end, it is inextricably tied to computational power - the tangible material of chips and semiconductors that the algorithms of machine intelligence operate on. Most obviously, computational power and computing architectures shape the speed of training and inference in machine learning, and therefore influence the rate of progress in the technology. But, these relationships are more nuanced than that: hardware shapes the methods used by researchers and engineers in the design and development of machine learning models. Characteristics such as the power consumption of chips also define where and how machine learning can be used in the real world.
In a broader perspective, computational power is also important because of its specific geographies. Semiconductors are designed, fabricated, and deployed through a complex international supply chain. Market structure and competition among companies in this space influence the progress of machine learning. Moreover, since these supply chains are also considered significant from a national security perspective, hardware becomes an arena in which government industrial and trade policy has a direct impact on the fundamental machinery necessary for artificial intelligence (AI).
This paper aims to dig more deeply into the relationship between computational power and the development of machine learning. Specifically, it examines how changes in computing architectures, machine learning methodologies, and supply chains might influence the future of AI. In doing so, it seeks to trace a set of specific relationship between this underlying hardware layer and the broader social impacts and risks around AI. On the hand, this examination shines a spotlight on how hardware works to exacerbate a range of concerns around ubiquitous surveillance, technological unemployment, and geopolitical conflict. On the other, it also highlights the potentially significant role that shaping the development of computing power might play in addressing these concerns.},
	doi = {10.2139/ssrn.3147971},
	author = {Tim Hwang}
}
@book {2018,
	title = {Creativity, the arts, and the future of work},
	year = {2018},
	pages = {283 - 310},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-78579-0},
	doi = {10.1007/978-3-319-78580-6_9},
	author = {Nathan, Linda F.},
	editor = {Cook, Justin W.}
}
@article {2018,
	title = {A critical approach to human helping in information systems: Heteromation in the Brazilian correspondent banking system},
	journal = {Information and Organization},
	volume = {28},
	year = {2018},
	month = {Jan-09-2018},
	pages = {111 - 128},
	issn = {14717727},
	doi = {10.1016/j.infoandorg.2018.08.002},
	author = {Diane E. Bailey and Eduardo H. Diniz and Bonnie A. Nardi and Paul M. Leonardi and Dan Sholler}
}
@book {2018,
	title = {A critical review of the politics of artificial intelligent machines, alienation and the existential risk threat to America{\textquoteright}s labour force},
	volume = {10963},
	year = {2018},
	pages = {217 - 232},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-95170-6},
	issn = {0302-9743},
	doi = {10.1007/978-3-319-95171-3_18},
	author = {Wogu, Ikedinachi Ayodele and Misra, Sanjay and Assibong, Patrick and Adewumi, Adewole and Damasevicius, Robertas and Maskeliunas, Rytis},
	editor = {Gervasi, Osvaldo and Murgante, Beniamino and Misra, Sanjay and Stankova, Elena and Torre, Carmelo M. and Rocha, Ana Maria A.C. and Taniar, David and Apduhan, Bernady O. and Tarantino, Eufemia and Ryu, Yeonseung}
}
@article {2018,
	title = {Cryptocurrency, Artificial Intelligence and basic income as innovative technological system},
	journal = {Path of Science},
	volume = {4},
	year = {2018},
	month = {Jul-08-2020},
	pages = {2024 - 2030},
	doi = {10.22178/pos10.22178/pos.37-6},
	author = {Sopilnyk, Lyubomyr and Shevchuk, Andriy and Kopytko, Vasyl}
}
@article {2017,
	title = {Can ford turn itself find a tech company},
	year = {2017},
	url = {https://www.nytimes.com/interactive/2017/11/09/magazine/tech-design-autonomous-future-cars-detroit-ford.html},
	author = {Kevin Roose}
}
@article {2017,
	title = {The changing nature of work: Careers, identities, and work lives in the 21 century},
	journal = {Academy of Management Discoveries},
	volume = {3},
	year = {2017},
	month = {Jan-06-2017},
	pages = {111 - 115},
	doi = {10.5465/amd.2017.0034},
	author = {Barley, Stephen R. and Bechky, Beth A. and Milliken, Frances J.}
}
@proceedings {2017,
	title = {Chatbots as assistants, an architectural framework},
	year = {2017},
	url = {https://dl.acm.org/citation.cfm?id=3172805},
	author = {Adam Di Prospera and Nojan norouzi and Morios Fokaefs and Marin Litoiu}
}
@article {2017,
	title = {Comparing the initial human-human and human-AI social interactions},
	journal = {Computers in Human Behavior},
	volume = {72},
	year = {2017},
	month = {Jan-07-2017},
	pages = {432 - 440},
	issn = {07475632},
	doi = {10.1016/j.chb.2017.02.067},
	author = {Mou, Yi and Xu, Kun}
}
@article {2017,
	title = {Computer technology and probable job destructions in Japan: An evaluation},
	journal = {Journal of the Japanese and International Economies},
	volume = {43},
	year = {2017},
	month = {Jan-03-2017},
	pages = {77 - 87},
	issn = {08891583},
	doi = {10.1016/j.jjie.2017.01.001},
	author = {David, Benjamin}
}
@article {2017,
	title = {Computing brains: Learning algorithms and neurocomputation in the smart city},
	journal = {Information, Communication \& Society},
	volume = {20},
	year = {2017},
	month = {Feb-01-2017},
	pages = {81 - 99},
	issn = {1369-118X},
	doi = {10.1080/1369118X.2016.1181194},
	author = {Williamson, Ben}
}
@article {2017,
	title = {The cyberscientist},
	journal = {Science},
	volume = {357},
	year = {2017},
	month = {Jul-07-2017},
	pages = {18 - 21},
	issn = {0036-8075},
	doi = {10.1126/science.357.6346.18},
	author = {Bohannon, John}
}
@article {2016,
	title = {Citizen science on a smartphone: Participants{\textquoteright} motivations and learning},
	journal = {Public Understanding of Science},
	volume = {25},
	year = {2016},
	month = {Mar-01-2017},
	pages = {45 - 60},
	issn = {0963-6625},
	doi = {10.1177/0963662515602406},
	author = {Land-Zandstra, Anne M. and Devilee, Jeroen L. A. and Snik, Frans and Buurmeijer, Franka and van den Broek, Jos M.}
}
@article {2015,
	title = {Is a Cambrian Explosion Coming for Robotics?},
	journal = {Journal of Economic Perspectives},
	volume = {29},
	year = {2015},
	month = {Jan-08-2015},
	pages = {51 - 60},
	issn = {0895-3309},
	doi = {10.1257/jep.29.3.51},
	url = {http://pubs.aeaweb.org/doi/10.1257/jep.29.3.51http://pubs.aeaweb.org/doi/pdf/10.1257/jep.29.3.51},
	author = {Pratt, Gill A.}
}
@article {2015,
	title = {A comparison between human{\textendash}human online conversations and human{\textendash}chatbot conversations},
	journal = {Computers in Human Behavior},
	volume = {49},
	year = {2015},
	month = {Jan-08-2015},
	pages = {245 - 250},
	issn = {07475632},
	doi = {10.1016/j.chb.2015.02.026},
	author = {Hill, Jennifer and Randolph Ford, W. and Farreras, Ingrid G.}
}
@article {2013,
	title = {A Comprehensive Survey of Data Mining-based Fraud Detection Research},
	year = {2013},
	keywords = {adversarial detection, automated fraud detection, Data mining applications},
	url = {https://arxiv.org/ftp/arxiv/papers/1009/1009.6119.pdf},
	author = {Clifton Phua and Vincent Lee and Kate Smith and Ross Gayler}
}
@article {2013,
	title = {The convergence of engineering and the life sciences},
	journal = {National Academy of Engineering},
	volume = {43},
	year = {2013},
	month = {10/2013},
	url = {https://www.nae.edu/88364/The-Convergence-of-Engineering-and-the-Life-Sciences},
	author = {Pjilip A. Sharp and Robert Langer}
}
@conference {2009,
	title = {The changing face of digital science},
	booktitle = {the 27th international conference extended abstractsProceedings of the 27th international conference extended abstracts on Human factors in computing systems - CHI EA {\textquoteright}09},
	year = {2009},
	pages = {4819},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {Boston, MA, USANew York, New York, USA},
	isbn = {9781605582474},
	doi = {10.1145/1520340.1520749},
	author = {Aragon, Cecilia R. and Poon, Sarah and Silva, Claudio T.}
}
@conference {2008,
	title = {Context-linked virtual assistants for distributed teams},
	booktitle = {the ACM 2008 conferenceProceedings of the ACM 2008 conference on Computer supported cooperative work - CSCW {\textquoteright}08},
	year = {2008},
	pages = {361},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {San Diego, CA, USANew York, New York, USA},
	isbn = {9781605580074},
	doi = {10.1145/1460563.1460623},
	author = {Poon, Sarah S. and Thomas, Rollin C. and Aragon, Cecilia R. and Lee, Brian}
}
@conference {RN30259,
	title = {Context-linked virtual assistants for distributed teams: an astrophysics case study},
	booktitle = {Proceedings of the ACM Conference on Computer Supported Cooperative Work},
	year = {2008},
	pages = {361{\textendash}370},
	type = {Conference Proceedings},
	isbn = {1605580074},
	author = {Poon, Sarah S and Thomas, Rollin C and Cecilia Aragon and Lee, Brian}
}
@article {2002,
	title = {Can we ever escape from data overload? A cognitive systems diagnosis},
	journal = {Cognition, Technology \& Work},
	volume = {4},
	year = {2002},
	month = {Jan-04-2002},
	pages = {22 - 36},
	issn = {1435-5558},
	doi = {10.1007/s101110200002},
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