TY - Generic T1 - ReelFramer: Human-AI Co-Creation for News-to-Video Translation T2 - CHI Conference on Human Factors in Computing Systems Y1 - 2024 A1 - Sitong Wang A1 - Samia Menon A1 - Tao Long A1 - Keren Henderson A1 - Dingzeyu Li A1 - Kevin Crowston A1 - Mark Hansen A1 - Jeffrey V. Nickerson A1 - Lydia B. Chilton AB -

Short videos on social media are the dominant way young people consume content. News outlets aim to reach audiences through news reels -- short videos conveying news -- but struggle to translate traditional journalistic formats into short, entertaining videos. To translate news into social media reels, we support journalists in reframing the narrative. In literature, narrative framing is a high-level structure that shapes the overall presentation of a story. We identified three narrative framings for reels that adapt social media norms but preserve news value, each with a different balance of information and entertainment. We introduce ReelFramer, a human-AI co-creative system that helps journalists translate print articles into scripts and storyboards. ReelFramer supports exploring multiple narrative framings to find one appropriate to the story. AI suggests foundational narrative details, including characters, plot, setting, and key information. ReelFramer also supports visual framing; AI suggests character and visual detail designs before generating a full storyboard. Our studies show that narrative framing introduces the necessary diversity to translate various articles into reels, and establishing foundational details helps generate scripts that are more relevant and coherent. We also discuss the benefits of using narrative framing and foundational details in content retargeting.

JF - CHI Conference on Human Factors in Computing Systems CY - Honolulu, Hawai'i UR - https://arxiv.org/abs/2304.09653 ER - TY - JOUR T1 - Artificial intelligence and the world of work, a co-constitutive relationship JF - Journal of the Association for Information Science and Technology Y1 - 2020 A1 - Østerlund, Carsten A1 - Jarrahi, Mohammad Hossein A1 - Willis, Matthew A1 - Boyd, Karen A1 - Wolf, Christine AB -

The use of intelligent machines—digital technologies that feature data- driven forms of customization, learning, and autonomous action—is rapidly growing and will continue to impact many industries and domains. This is consequential for communities of researchers, educators, and practitioners concerned with studying, supporting, and educating information profes- sionals. In the face of new developments in artificial intelligence (AI), the research community faces 3 questions: (a) How is AI becoming part of the world of work? (b) How is the world of work becoming part of AI? and (c) How can the information community help address this topic of Work in the Age of Intelligent Machines (WAIM)? This opinion piece considers these 3 questions by drawing on discussion from an engaging 2019 iConference workshop organized by the NSF supported WAIM research coordination net- work (note: https://waim.network).

ER - TY - Generic T1 - Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance Y1 - 2020 A1 - Bansal, Gagan A1 - Wu, Tongshuang A1 - Zhou, Joyce A1 - Fok, Raymond A1 - Nushi, Besmira A1 - Kamar, Ece A1 - Ribeiro, Marco Tulio A1 - Weld, Daniel S. AB -

Increasingly, organizations are pairing humans with AI systems to improve decision-making and reducing costs. Proponents of human-centered AI argue that team performance can even further improve when the AI model explains its recommendations. However, a careful analysis of existing literature reveals that prior studies observed improvements due to explanations only when the AI, alone, outperformed both the human and the best human-AI team. This raises an important question: can explanations lead to complementary performance, i.e., with accuracy higher than both the human and the AI working alone? We address this question by devising comprehensive studies on human-AI teaming, where participants solve a task with help from an AI system without explanations and from one with varying types of AI explanation support. We carefully controlled to ensure comparable human and AI accuracy across experiments on three NLP datasets (two for sentiment analysis and one for question answering). While we found complementary improvements from AI augmentation, they were not increased by state-of-the-art explanations compared to simpler strategies, such as displaying the AI's confidence. We show that explanations increase the chance that humans will accept the AI's recommendation regardless of whether the AI is correct. While this clarifies the gains in team performance from explanations in prior work, it poses new challenges for human-centered AI: how can we best design systems to produce complementary performance? Can we develop explanatory approaches that help humans decide whether and when to trust AI input?

UR - http://arxiv.org/abs/2006.14779 ER - TY - JOUR T1 - Feminist economic geography and the future of work JF - EPA: Economy and Space Y1 - 2020 A1 - Reid-musson, Emily A1 - Cockayne, Daniel A1 - Frederiksen, Lia A1 - Worth, Nancy KW - corresponding author KW - department of geography KW - emily reid-musson KW - feminist economic geography KW - memorial university of newfoundland KW - newfoundland and labrador a1c KW - social reproduction KW - subjectivity KW - technology KW - work ER - TY - JOUR T1 - The nature of the Artificially Intelligent Firm - An economic investigation into changes that AI brings to the firm JF - Telecommunications Policy Y1 - 2020 A1 - Wagner, Dirk Nicolas KW - artificial intelligence KW - Asymmetric information KW - machine learning KW - Principal-agent problem KW - Theory of the firm AB - With the arrival of Artificial Intelligence (AI), the nature of the firm is changing and economic theory can provide guidance to businesses as well as to politics when formulating adequate strategies for this unknown terrain. By interpreting AI as a new type of agent within the firm, the theory of the firm can serve as a lingua franca to connect computer sciences and social sciences when dealing with the interdisciplinary phenomenon of AI. To achieve this, this paper adopts the perspective of the economic theory of the firm to systematically explore the changes that AI brings to the institution of the firm. In total, five interrelated propositions are discussed that are rooted in the traditional theory but trace the nature of the Artificially Intelligent Firm: AI intensifies the effects of economic rationality on the firm (1). AI introduces a new type of information asymmetry (2). AI can perforate the boundaries of the firm (3). AI can create triangular agency relationships (4) and AI has the potential to remove traditional limits of integration (5). PB - Elsevier Ltd VL - 44 UR - https://doi.org/10.1016/j.telpol.2020.101954 ER - TY - ABST T1 - Robo-Apocalypse cancelled? Reframing the automation and future of work debate Y1 - 2020 A1 - Willcocks, Leslie KW - AI KW - automation KW - cognitive automation KW - future of work KW - Information Technology KW - Jobs KW - robotic process automation KW - skills AB - Robotics and the automation of knowledge work, often referred to as AI (artificial intelligence), are presented in the media as likely to have massive impacts, for better or worse, on jobs skills, organizations and society. The article deconstructs the dominant hype-and-fear narrative. Claims on net job loss emerge as exaggerated, but there will be considerable skills disruption and change in the major global economies over the next 12 years. The term AI has been hijacked, in order to suggest much more going on technologically than can be the case. The article reviews critically the research evidence so far, including the author's own, pointing to eight major qualifiers to the dominant discourse of major net job loss from a seamless, overwhelming AI wave sweeping fast through the major economies. The article questions many assumptions: that automation creates few jobs short or long term; that whole jobs can be automated; that the technology is perfectible; that organizations can seamlessly and quickly deploy AI; that humans are machines that can be replicated; and that it is politically, socially and economically feasible to apply these technologies. A major omission in all studies is factoring in dramatic increases in the amount of work to be done. Adding in ageing populations, productivity gaps and skills shortages predicted across many G20 countries, the danger might be too little, rather than too much labour. The article concludes that, if there is going to be a Robo-Apocalypse, this will be from a collective failure to adjust to skills change over the next 12 years. But the debate needs to be widened to the impact of eight other technologies that AI insufficiently represents in the popular imagination and that, in combination, could cause a techno-apocalypse. JF - Journal of Information Technology SN - 0268396220925 ER - TY - JOUR T1 - Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims Y1 - 2020 A1 - Brundage, Miles A1 - Avin, Shahar A1 - Wang, Jasmine A1 - Belfield, Haydn A1 - Krueger, Gretchen A1 - Hadfield, Gillian A1 - Khlaaf, Heidy A1 - Yang, Jingying A1 - Toner, Helen A1 - Fong, Ruth A1 - Maharaj, Tegan A1 - Koh, Pang Wei A1 - Hooker, Sara A1 - Leung, Jade A1 - Trask, Andrew A1 - Bluemke, Emma A1 - Lebensold, Jonathan A1 - O'Keefe, Cullen A1 - Koren, Mark A1 - Ryffel, Théo A1 - Rubinovitz, JB A1 - Besiroglu, Tamay A1 - Carugati, Federica A1 - Clark, Jack A1 - Eckersley, Peter A1 - de Haas, Sarah A1 - Johnson, Maritza A1 - Laurie, Ben A1 - Ingerman, Alex A1 - Krawczuk, Igor A1 - Askell, Amanda A1 - Cammarota, Rosario A1 - Lohn, Andrew A1 - Krueger, David A1 - Stix, Charlotte A1 - Henderson, Peter A1 - Graham, Logan A1 - Prunkl, Carina A1 - Martin, Bianca A1 - Seger, Elizabeth A1 - Zilberman, Noa A1 - HÉigeartaigh, Seán Ó A1 - Kroeger, Frens A1 - Sastry, Girish A1 - Kagan, Rebecca A1 - Weller, Adrian A1 - Tse, Brian A1 - Barnes, Elizabeth A1 - Dafoe, Allan A1 - Scharre, Paul A1 - Herbert-Voss, Ariel A1 - Rasser, Martijn A1 - Sodhani, Shagun A1 - Flynn, Carrick A1 - Gilbert, Thomas Krendl A1 - Dyer, Lisa A1 - Khan, Saif A1 - Bengio, Yoshua A1 - Anderljung, Markus AB - With the recent wave of progress in artificial intelligence (AI) has come a growing awareness of the large-scale impacts of AI systems, and recognition that existing regulations and norms in industry and academia are insufficient to ensure responsible AI development. In order for AI developers to earn trust from system users, customers, civil society, governments, and other stakeholders that they are building AI responsibly, they will need to make verifiable claims to which they can be held accountable. Those outside of a given organization also need effective means of scrutinizing such claims. This report suggests various steps that different stakeholders can take to improve the verifiability of claims made about AI systems and their associated development processes, with a focus on providing evidence about the safety, security, fairness, and privacy protection of AI systems. We analyze ten mechanisms for this purpose–spanning institutions, software, and hardware–and make recommendations aimed at implementing, exploring, or improving those mechanisms. UR - http://arxiv.org/abs/2004.07213 ER - TY - JOUR T1 - Algorithms at War: The Promise, Peril, and Limits of Artificial Intelligence JF - International Studies Review Y1 - 2019 A1 - Jensen, Benjamin M A1 - Whyte, Christopher A1 - Cuomo, Scott ER - TY - JOUR T1 - Is an army of robots marching on Chinese jobs? JF - IZA – Institute of Labor Economics Y1 - 2019 A1 - Osea Giuntella A1 - Tianyi Wang UR - https://www.iza.org/publications/dp/12281/is-an-army-of-robots-marching-on-chinese-jobs IS - IZA DP No. 12281 ER - TY - JOUR T1 - Artificial Intelligence and the Future of the Drug Safety Professional JF - Drug Safety Y1 - 2019 A1 - Danysz, Karolina A1 - Cicirello, Salvatore A1 - Mingle, Edward A1 - Assuncao, Bruno A1 - Tetarenko, Niki A1 - Mockute, Ruta A1 - Abatemarco, Danielle A1 - Widdowson, Mark A1 - Desai, Sameen VL - 42 IS - 4 ER - TY - JOUR T1 - Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark JF - European Journal of Cancer Y1 - 2019 A1 - Brinker, Titus J. A1 - Hekler, Achim A1 - Hauschild, Axel A1 - Berking, Carola A1 - Schilling, Bastian A1 - Alexander Enk A1 - Haferkamp, Sebastian A1 - Karoglan, Ante A1 - von Kalle, Christof A1 - Weichenthal, Michael A1 - Sattler, Elke A1 - Schadendorf, Dirk A1 - Gaiser, Maria R. A1 - Klode, Joachim A1 - Jochen Sven Utikal VL - 111 ER - TY - CONF T1 - Consider the human work experience when integrating robotics in the workplace T2 - 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) Y1 - 2019 A1 - Welfare, Katherine S. A1 - Hallowell, Matthew R. A1 - Shah, Julie A. A1 - Riek, Laurel D. JF - 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) PB - IEEE CY - Daegu, Korea (South) UR - https://ieeexplore.ieee.org/document/8673139/http://xplorestaging.ieee.org/ielx7/8666012/8673065/08673139.pdf?arnumber=8673139 ER - TY - JOUR T1 - A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task JF - European Journal of Cancer Y1 - 2019 A1 - Brinker, Titus J. A1 - Hekler, Achim A1 - Alexander Enk A1 - Klode, Joachim A1 - Hauschild, Axel A1 - Berking, Carola A1 - Schilling, Bastian A1 - Haferkamp, Sebastian A1 - Schadendorf, Dirk A1 - Fröhling, Stefan A1 - Jochen Sven Utikal A1 - von Kalle, Christof A1 - Ludwig-Peitsch, Wiebke A1 - Sirokay, Judith A1 - Heinzerling, Lucie A1 - Albrecht, Magarete A1 - Baratella, Katharina A1 - Bischof, Lena A1 - Chorti, Eleftheria A1 - Dith, Anna A1 - Drusio, Christina A1 - Giese, Nina A1 - Gratsias, Emmanouil A1 - Griewank, Klaus A1 - Hallasch, Sandra A1 - Hanhart, Zdenka A1 - Herz, Saskia A1 - Hohaus, Katja A1 - Jansen, Philipp A1 - Jockenhöfer, Finja A1 - Kanaki, Theodora A1 - Knispel, Sarah A1 - Leonhard, Katja A1 - Martaki, Anna A1 - Matei, Liliana A1 - Matull, Johanna A1 - Olischewski, Alexandra A1 - Petri, Maximilian A1 - Placke, Jan-Malte A1 - Raub, Simon A1 - Salva, Katrin A1 - Schlott, Swantje A1 - Sody, Elsa A1 - Steingrube, Nadine A1 - Stoffels, Ingo A1 - Ugurel, Selma A1 - Sondermann, Wiebke A1 - Zaremba, Anne A1 - Gebhardt, Christoffer A1 - Booken, Nina A1 - Christolouka, Maria A1 - Buder-Bakhaya, Kristina A1 - Bokor-Billmann, Therezia A1 - Alexander Enk A1 - Gholam, Patrick A1 - Hänßle, Holger A1 - Salzmann, Martin A1 - Schäfer, Sarah A1 - Schäkel, Knut A1 - Schank, Timo A1 - Bohne, Ann-Sophie A1 - Deffaa, Sophia A1 - Drerup, Katharina A1 - Egberts, Friederike A1 - Erkens, Anna-Sophie A1 - Ewald, Benjamin A1 - Falkvoll, Sandra A1 - Gerdes, Sascha A1 - Harde, Viola A1 - Hauschild, Axel A1 - Jost, Marion A1 - Kosova, Katja A1 - Messinger, Laetitia A1 - Metzner, Malte A1 - Morrison, Kirsten A1 - Motamedi, Rogina A1 - Pinczker, Anja A1 - Rosenthal, Anne A1 - Scheller, Natalie A1 - Schwarz, Thomas A1 - Stölzl, Dora A1 - Thielking, Federieke A1 - Tomaschewski, Elena A1 - Wehkamp, Ulrike A1 - Weichenthal, Michael A1 - Wiedow, Oliver A1 - Bär, Claudia Maria A1 - Bender-Säbelkampf, Sophia A1 - Horbrügger, Marc A1 - Karoglan, Ante A1 - Kraas, Luise A1 - Faulhaber, Jörg A1 - Geraud, Cyrill A1 - Guo, Ze A1 - Koch, Philipp A1 - Linke, Miriam A1 - Maurier, Nolwenn A1 - Müller, Verena A1 - Thomas, Benjamin A1 - Jochen Sven Utikal A1 - Alamri, Ali Saeed M. A1 - Baczako, Andrea A1 - Berking, Carola A1 - Betke, Matthias A1 - Haas, Carolin A1 - Hartmann, Daniela A1 - Heppt, Markus V. A1 - Kilian, Katharina A1 - Krammer, Sebastian A1 - Lapczynski, Natalie Lidia A1 - Mastnik, Sebastian A1 - Nasifoglu, Suzan A1 - Ruini, Cristel A1 - Sattler, Elke A1 - Schlaak, Max A1 - Wolff, Hans A1 - Achatz, Birgit A1 - Bergbreiter, Astrid A1 - Drexler, Konstantin A1 - Ettinger, Monika A1 - Haferkamp, Sebastian A1 - Halupczok, Anna A1 - Hegemann, Marie A1 - Dinauer, Verena A1 - Maagk, Maria A1 - Mickler, Marion A1 - Philipp, Biance A1 - Wilm, Anna A1 - Wittmann, Constanze A1 - Gesierich, Anja A1 - Glutsch, Valerie A1 - Kahlert, Katrin A1 - Kerstan, Andreas A1 - Schilling, Bastian A1 - Schrüfer, Philipp VL - 111 ER - TY - JOUR T1 - Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task JF - European Journal of Cancer Y1 - 2019 A1 - Brinker, Titus J. A1 - Hekler, Achim A1 - Alexander Enk A1 - Klode, Joachim A1 - Hauschild, Axel A1 - Berking, Carola A1 - Schilling, Bastian A1 - Haferkamp, Sebastian A1 - Schadendorf, Dirk A1 - Holland-Letz, Tim A1 - Jochen Sven Utikal A1 - von Kalle, Christof A1 - Ludwig-Peitsch, Wiebke A1 - Sirokay, Judith A1 - Heinzerling, Lucie A1 - Albrecht, Magarete A1 - Baratella, Katharina A1 - Bischof, Lena A1 - Chorti, Eleftheria A1 - Dith, Anna A1 - Drusio, Christina A1 - Giese, Nina A1 - Gratsias, Emmanouil A1 - Griewank, Klaus A1 - Hallasch, Sandra A1 - Hanhart, Zdenka A1 - Herz, Saskia A1 - Hohaus, Katja A1 - Jansen, Philipp A1 - Jockenhöfer, Finja A1 - Kanaki, Theodora A1 - Knispel, Sarah A1 - Leonhard, Katja A1 - Martaki, Anna A1 - Matei, Liliana A1 - Matull, Johanna A1 - Olischewski, Alexandra A1 - Petri, Maximilian A1 - Placke, Jan-Malte A1 - Raub, Simon A1 - Salva, Katrin A1 - Schlott, Swantje A1 - Sody, Elsa A1 - Steingrube, Nadine A1 - Stoffels, Ingo A1 - Ugurel, Selma A1 - Zaremba, Anne A1 - Gebhardt, Christoffer A1 - Booken, Nina A1 - Christolouka, Maria A1 - Buder-Bakhaya, Kristina A1 - Bokor-Billmann, Therezia A1 - Alexander Enk A1 - Gholam, Patrick A1 - Hänßle, Holger A1 - Salzmann, Martin A1 - Schäfer, Sarah A1 - Schäkel, Knut A1 - Schank, Timo A1 - Bohne, Ann-Sophie A1 - Deffaa, Sophia A1 - Drerup, Katharina A1 - Egberts, Friederike A1 - Erkens, Anna-Sophie A1 - Ewald, Benjamin A1 - Falkvoll, Sandra A1 - Gerdes, Sascha A1 - Harde, Viola A1 - Hauschild, Axel A1 - Jost, Marion A1 - Kosova, Katja A1 - Messinger, Laetitia A1 - Metzner, Malte A1 - Morrison, Kirsten A1 - Motamedi, Rogina A1 - Pinczker, Anja A1 - Rosenthal, Anne A1 - Scheller, Natalie A1 - Schwarz, Thomas A1 - Stölzl, Dora A1 - Thielking, Federieke A1 - Tomaschewski, Elena A1 - Wehkamp, Ulrike A1 - Weichenthal, Michael A1 - Wiedow, Oliver A1 - Bär, Claudia Maria A1 - Bender-Säbelkampf, Sophia A1 - Horbrügger, Marc A1 - Karoglan, Ante A1 - Kraas, Luise A1 - Faulhaber, Jörg A1 - Geraud, Cyrill A1 - Guo, Ze A1 - Koch, Philipp A1 - Linke, Miriam A1 - Maurier, Nolwenn A1 - Müller, Verena A1 - Thomas, Benjamin A1 - Jochen Sven Utikal A1 - Alamri, Ali Saeed M. A1 - Baczako, Andrea A1 - Berking, Carola A1 - Betke, Matthias A1 - Haas, Carolin A1 - Hartmann, Daniela A1 - Heppt, Markus V. A1 - Kilian, Katharina A1 - Krammer, Sebastian A1 - Lapczynski, Natalie Lidia A1 - Mastnik, Sebastian A1 - Nasifoglu, Suzan A1 - Ruini, Cristel A1 - Sattler, Elke A1 - Schlaak, Max A1 - Wolff, Hans A1 - Achatz, Birgit A1 - Bergbreiter, Astrid A1 - Drexler, Konstantin A1 - Ettinger, Monika A1 - Haferkamp, Sebastian A1 - Halupczok, Anna A1 - Hegemann, Marie A1 - Dinauer, Verena A1 - Maagk, Maria A1 - Mickler, Marion A1 - Philipp, Biance A1 - Wilm, Anna A1 - Wittmann, Constanze A1 - Gesierich, Anja A1 - Glutsch, Valerie A1 - Kahlert, Katrin A1 - Kerstan, Andreas A1 - Schilling, Bastian A1 - Schrüfer, Philipp VL - 113 ER - TY - RPRT T1 - Is a driverless future also jobless? Y1 - 2019 A1 - Groshen, Erica L. PB - W.E. Upjohn Institute ER - TY - BOOK T1 - Educating those most impacted by artificial intelligence Y1 - 2019 A1 - Gemmell, Laura A1 - Wenham, Lucy A1 - Hauert, Sabine ED - Isotani, Seiji ED - Millán, Eva ED - Ogan, Amy ED - Hastings, Peter ED - McLaren, Bruce ED - Luckin, Rose PB - Springer International Publishing CY - Cham VL - 11626 SN - 978-3-030-23206-1 ER - TY - RPRT T1 - Exploring and developing policies to future proof Washington’s workers and businesses Y1 - 2019 A1 - Joe Wilcox A1 - Lew McMurran JF - Future of Work Task Force Plan of Action PB - Workforce Training and Education Coordinating Board UR - http://www.wtb.wa.gov/Documents/FutureofWork2018Report.pdf ER - TY - JOUR T1 - The future of health care: Protocol for measuring the potential of task automation grounded in the national health service primary care system JF - JMIR Research Protocols Y1 - 2019 A1 - Willis, Matthew A1 - Duckworth, Paul A1 - Coulter, Angela A1 - Meyer, Eric T A1 - Osborne, Michael VL - 8 IS - 4 ER - TY - CONF T1 - The future of human-AI collaboration: A taxonomy of design knowledge for hybrid intelligence systems T2 - Hawaii International Conference on System Sciences (HICSS) Y1 - 2019 A1 - Dominik Dellermann A1 - Adrian Calma A1 - Nikolaus Lipusch A1 - Thorsten Weber A1 - Sascha Weigel A1 - Philipp Ebel AB - Recent technological advances, especially in the field of machine learning, provide astonishing progress on the road towards artificial general intelligence. However, tasks in current real-world business applications cannot yet be solved by machines alone. We, therefore, identify the need for developing socio-technological ensembles of humans and machines. Such systems possess the ability to accomplish complex goals by combining human and artificial intelligence to collectively achieve superior results and continuously improve by learning from each other. Thus, the need for structured design knowledge for those systems arises. Following a taxonomy development method, this article provides three main contributions: First, we present a structured overview of interdisciplinary research on the role of humans in the machine learning pipeline. Second, we envision hybrid intelligence systems and conceptualize the relevant dimensions for system design for the first time. Finally, we offer useful guidance for system developers during the implementation of such applications. JF - Hawaii International Conference on System Sciences (HICSS) UR - https://www.alexandria.unisg.ch/publications/254994 ER - TY - Generic T1 - The future of women at work Y1 - 2019 A1 - Anu Madgavkar A1 - James Manyika A1 - Mekala Krishnan A1 - Kweilin Ellingrud A1 - Lareina Yee A1 - Jonathan Woetzel A1 - Michael Chui A1 - Vivian Hunt A1 - Sruti Balakrishnan KW - consulting reports VL - McKinsey Global Institute UR - https://www.mckinsey.com/~/media/mckinsey/featured%20insights/gender%20equality/the%20future%20of%20women%20at%20work%20transitions%20in%20the%20age%20of%20automation/mgi-the-future-of-women-at-work-full-report-june%202019.ashx ER - TY - MGZN T1 - Future of work initiatives promise lots of noise and lots of activity, but to what end? Y1 - 2019 A1 - Jeff Schwartz A1 - John Hagel III A1 - Maggie Wooll A1 - Kelly Monahan JF - MIT Slogan Management Review UR - https://sloanreview.mit.edu/article/reframing-the-future-of-work/ ER - TY - JOUR T1 - Governance of artificial intelligence and personal health information JF - Digital Policy, Regulation and Governance Y1 - 2019 A1 - Winter, Jenifer Sunrise A1 - Davidson, Elizabeth VL - 21 IS - 3 ER - TY - Generic T1 - The impact of automation technologies for employment in Northern Ireland Y1 - 2019 A1 - Lisa Wilson A1 - Paul Mac Flynn KW - economics of automation PB - Nevin Economic Research Institute UR - https://www.nerinstitute.net/research/the-future-of-work-the-impact-of-automation-techno-1/ ER - TY - JOUR T1 - A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic JF - JCO Clinical Cancer Informatics Y1 - 2019 A1 - Salvucci, Manuela A1 - Rahman, Arman A1 - Resler, Alexa J. A1 - Udupi, Girish M. A1 - McNamara, Deborah A. A1 - Kay, Elaine W. A1 - Laurent-Puig, Pierre A1 - Longley, Daniel B. A1 - Johnston, Patrick G. A1 - Lawler, Mark A1 - Wilson, Richard A1 - Salto-Tellez, Manuel A1 - Van Schaeybroeck, Sandra A1 - Rafferty, Mairin A1 - Gallagher, William M. A1 - Rehm, Markus A1 - Prehn, Jochen H.M. IS - 3 ER - TY - JOUR T1 - Nurses' Views on the Potential Use of Robots in the Pediatric Unit JF - Journal of Pediatric Nursing Y1 - 2019 A1 - Liang, Hwey-Fang A1 - Wu, Kuang-Ming A1 - Weng, Cheng-Hsing A1 - Hsieh, Hui-Wen VL - 47 ER - TY - CONF T1 - The roles of initiated and received task interdependence T2 - Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences Y1 - 2019 A1 - Berntzen, Marthe A1 - Wong, Sut I JF - Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences PB - Hawaii International Conference on System Sciences ER - TY - JOUR T1 - Is this time different? How digitalization influences job creation and destruction JF - Research Policy Y1 - 2019 A1 - Balsmeier, Benjamin A1 - Woerter, Martin VL - 48 IS - 8 ER - TY - JOUR T1 - Toward understanding the impact of artificial intelligence on labor JF - Proceedings of the National Academy of Sciences Y1 - 2019 A1 - Frank, Morgan R A1 - Autor, David A1 - Bessen, James E A1 - Brynjolfsson, Erik A1 - Cebrian, Manuel A1 - Deming, David J A1 - Feldman, Maryann A1 - Groh, Matthew A1 - Lobo, José A1 - Moro, Esteban A1 - Wang, Dashun A1 - Youn, Hyejin A1 - Rahwan, Iyad AB -

Rapid advances in artificial intelligence (AI) and automation technologies have the potential to significantly disrupt labor markets. While AI and automation can augment the productivity of some workers, they can replace the work done by others and will likely transform almost all occupations at least to some degree. Rising automation is happening in a period of growing economic inequality, raising fears of mass technological unemployment and a renewed call for policy efforts to address the consequences of technological change. In this paper we discuss the barriers that inhibit scientists from measuring the effects of AI and automation on the future of work. These barriers include the lack of high-quality data about the nature of work (e.g., the dynamic requirements of occupations), lack of empirically informed models of key microlevel processes (e.g., skill substitution and human–machine complementarity), and insufficient understanding of how cognitive technologies interact with broader economic dynamics and institutional mechanisms (e.g., urban migration and international trade policy). Overcoming these barriers requires improvements in the longitudinal and spatial resolution of data, as well as refinements to data on workplace skills. These improvements will enable multidisciplinary research to quantitatively monitor and predict the complex evolution of work in tandem with technological progress. Finally, given the fundamental uncertainty in predicting technological change, we recommend developing a decision framework that focuses on resilience to unexpected scenarios in addition to general equilibrium behavior.

VL - 116 UR - http://www.pnas.org/lookup/doi/10.1073/pnas.1900949116 ER - TY - ICOMM T1 - AI stumbles in the spotlight Y1 - 2018 A1 - Kaveh Waddell UR - https://www.axios.com/artificial-intelligence-mistakes-limitations-amazon-ibm-14014597-03e9-43e3-b224-a91205a232c1.html N1 - Artificial intelligence experts — concerned about reported blunders with high-stakes AI systems from makers like Amazon and IBM — are urging more oversight, testing, and perhaps a fundamental rethinking of the underlying technology. ER - TY - JOUR T1 - Artificial Intelligence in Medicine and Radiation Oncology JF - Cureus Y1 - 2018 A1 - Weidlich, Vincent A1 - Weidlich, Georg A. KW - artificial intelligence KW - big data KW - error analysis KW - error prevention KW - machine learning KW - process efficiency KW - process optimization KW - quality improvement KW - radiation oncology AB - Artificial Intelligence (AI) was reviewed with a focus on its potential applicability to radiation oncology. The improvement of process efficiencies and the prevention of errors were found to be the most significant contributions of AI to radiation oncology. It was found that the prevention of errors is most effective when data transfer processes were automated and operational decisions were based on logical or learned evaluations by the system. It was concluded that AI could greatly improve the efficiency and accuracy of radiation oncology operations. UR - https://www.cureus.com/articles/11443-artificial-intelligence-in-medicine-and-radiation-oncology ER - TY - JOUR T1 - Automation and the future of work JF - Centre for International Governance Innovation Y1 - 2018 A1 - Joel Blit A1 - Samantha St. Amand A1 - Joanna Wajda UR - https://www.cigionline.org/publications/automation-and-future-work-scenarios-and-policy-options IS - 174 ER - TY - JOUR T1 - Boundary spanning at the science–policy interface: the practitioners’ perspectives JF - Sustainability Science Y1 - 2018 A1 - Bednarek, A. T. A1 - Wyborn, C. A1 - Cvitanovic, C. A1 - Meyer, R. A1 - Colvin, R. M. A1 - Addison, P. F. E. A1 - Close, S. L. A1 - Curran, K. A1 - Farooque, M. A1 - Goldman, E. A1 - Hart, D. A1 - Mannix, H. A1 - McGreavy, B. A1 - Parris, A. A1 - Posner, S. A1 - Robinson, C. A1 - Ryan, M. A1 - Leith, P. VL - 13 IS - 4 ER - TY - ICOMM T1 - Collaborative intelligence: Humans and AI are joining forces Y1 - 2018 A1 - H. James Wilson A1 - Paul R. Daugherty JF - Havard Business Review UR - https://hbr.org/2018/07/collaborative-intelligence-humans-and-ai-are-joining-forces IS - Reprint R1804J ER - TY - BOOK T1 - A critical review of the politics of artificial intelligent machines, alienation and the existential risk threat to America’s labour force Y1 - 2018 A1 - Wogu, Ikedinachi Ayodele A1 - Misra, Sanjay A1 - Assibong, Patrick A1 - Adewumi, Adewole A1 - Damasevicius, Robertas A1 - Maskeliunas, Rytis ED - Gervasi, Osvaldo ED - Murgante, Beniamino ED - Misra, Sanjay ED - Stankova, Elena ED - Torre, Carmelo M. ED - Rocha, Ana Maria A.C. ED - Taniar, David ED - Apduhan, Bernady O. ED - Tarantino, Eufemia ED - Ryu, Yeonseung PB - Springer International Publishing CY - Cham VL - 10963 SN - 978-3-319-95170-6 ER - TY - JOUR T1 - DEFINITION, APPLICATION AND INFLUENCE OF ARTI FICIAL INTELLIGENCE ON DESIGN INDUSTRIES JF - Landscape Architecture Frontiers Y1 - 2018 A1 - Linghao Cai A1 - Ling Fan A1 - Wenbo Lai A1 - LONG, Ying A1 - Peng Wang A1 - Xiangyang Xin VL - 6 IS - 2 ER - TY - JOUR T1 - Developing an ethical framework JF - Business Horizons Y1 - 2018 A1 - Wright, Scott A. A1 - Schultz, Ainslie E. VL - 61 IS - 6 ER - TY - JOUR T1 - The discourse approach to boundary identification and corpus construction for theory review articles JF - Journal of the Association for Information Systems Y1 - 2018 A1 - Kai R. Larsen A1 - Dirik S. Hovorka A1 - Alan R. Dennis A1 - Jevin D. West KW - article identification KW - boundary identification KW - citation search KW - keyword search KW - literature review KW - machine learning KW - research review KW - review article UR - https://www.researchgate.net/publication/325215971_Understanding_the_Elephant_The_Discourse_Approach_to_Boundary_Identification_and_Corpus_Construction_for_Theory_Review_Articles ER - TY - ICOMM T1 - Dreyfus on the 'Fringe': information processing, intelligent activity, and the future of thinking machines Y1 - 2018 A1 - Jeffrey White JF - Ai & Society UR - https://www.researchgate.net/publication/323956550_Dreyfus_on_the_fringe_-_accepted_draft ER - TY - JOUR T1 - Ethics of using Artificial Intelligence to augment drafting legal documents JF - Texas A&M Journal of Property Law Y1 - 2018 A1 - David Hricik Hri A1 - Asya-Lorrene S. Morgan A1 - Kyle H. Williams VL - 4 UR - https://scholarship.law.tamu.edu/cgi/viewcontent.cgi?article=1080&context=journal-of-property-law IS - 5 ER - TY - MGZN T1 - The Future of Work: Compulsory, by Martha Wells Y1 - 2018 A1 - Martha Wells JF - Wired UR - https://www.wired.com/story/future-of-work-compulsory-martha-wells/ ER - TY - JOUR T1 - How do machine learning, robotic process automation, and blockchains affect the human factor in business process management? JF - Communications of the Association for Information Systems Y1 - 2018 A1 - Mendling, Jan A1 - Decker, Gero A1 - Hull, Richard A1 - Reijers, Hajo A. A1 - Weber, Ingo ER - TY - JOUR T1 - How does the digital transformation affect organizations? Key themes of change in work design and leadership JF - management revu Y1 - 2018 A1 - Schwarzmüller, Tanja A1 - Brosi, Prisca A1 - Duman, Denis A1 - Welpe, Isabell M. VL - 29 IS - 2 ER - TY - JOUR T1 - How to respond to the fourth industrial revolution, or the second information technology revolution? Dynamic new combinations between technology, market, and society through open innovation JF - Journal of Open Innovation: Technology, Market, and Complexity Y1 - 2018 A1 - Lee, MinHwa A1 - Yun, JinHyo A1 - Pyka, Andreas A1 - Won, DongKyu A1 - Kodama, Fumio A1 - Schiuma, Giovanni A1 - Park, HangSik A1 - Jeon, Jeonghwan A1 - Park, KyungBae A1 - Jung, KwangHo A1 - Yan, Min-Ren A1 - Lee, SamYoul A1 - Zhao, Xiaofei VL - 4 IS - 3 ER - TY - JOUR T1 - Human and smart machine co-learning with brain computer interface JF - IEEE SMC Magazine Y1 - 2018 A1 - Chang - Shing Lee A1 - Mei - Hui Wang A1 - Li - Wei Ko A1 - Naoyuki Kubota A1 - Lu - An Lin A1 - Shinya Kitaoka A1 - Yu - Te Wang A1 - Shun - Feng Su KW - human and machine inttelligence VL - 4 UR - https://arxiv.org/abs/1802.06521 ER - TY - MGZN T1 - Imagining a future of work that fosters mobility for all Y1 - 2018 A1 - Lawrence Katz A1 - Ai-Jen Poo A1 - Elaine Waxman JF - Us partnership on mobility from poverty UR - https://www.mobilitypartnership.org/imagining-future-work-fosters-mobility-all ER - TY - RPRT T1 - The internet and jobs opportunities and ambiguous trends Y1 - 2018 A1 - Lorenzo Pupillo A1 - Eli Noam A1 - Leonard Waverman KW - economics of automation JF - Policy Insights UR - https://www.ceps.eu/system/files/PI2018_06_LP-EN-LW_InternetAndJobs.pdf ER - TY - BOOK T1 - Lecture Notes in Computer ScienceDesign, User Experience, and Usability: Theory and PracticeComparing Human Against Computer Generated Designs: New Possibilities for Design Activity Within Agile Projects Y1 - 2018 A1 - Fernandes, Farley A1 - Filgueiras, Ernesto A1 - Neves, André ED - Marcus, Aaron ED - Wang, Wentao PB - Springer International Publishing CY - Cham VL - 10918 SN - 978-3-319-91796-2 ER - TY - JOUR T1 - Making Sure We Don’t Forget the Basics When Using Machine Learning JF - JNCI: Journal of the National Cancer Institute Y1 - 2018 A1 - Winn, Aaron N A1 - Neuner, Joan M VL - 111 IS - 6 ER - TY - RPRT T1 - Occupational Classifications With A Machine Learning Approach Y1 - 2018 A1 - Akina Ikudo A1 - Julia Lane A1 - Joseph Staudt A1 - Bruce A. Weinberg KW - administrative data KW - machine learning KW - occupational classifications KW - transaction data KW - UMETRICS JF - IZA DP No. 11738 UR - https://www.iza.org/publications/dp/11738/occupational-classifications-a-machine-learning-approach ER - TY - ICOMM T1 - Researchably's AI parsers medical research for pharmaceutical companies Y1 - 2018 A1 - Kyle Wiggers JF - venturebeat.com UR - https://venturebeat.com/2018/10/02/researchablys-ai-parses-medical-research-for-pharmaceutical-companies/ ER - TY - Generic T1 - Robots worldwide: The impact of automation on employment and trade Y1 - 2018 A1 - Francesco Carnonero A1 - Ekkehard Ernst A1 - Enzo Weber KW - economics of automation KW - Employment KW - off-shoring KW - re-shoring KW - robot KW - technology JF - International Labour Office UR - https://www.ilo.org/wcmsp5/groups/public/---dgreports/---inst/documents/publication/wcms_648063.pdf ER - TY - RPRT T1 - Skill shift automation and the future of the workforce Y1 - 2018 A1 - Jaccques Bughin A1 - Eric Hazan A1 - Susan Lund A1 - Peter Dahlstrom A1 - Anna Wiesinger A1 - Amresh Subramaniam JF - McKinsey Global Institute UR - https://www.mckinsey.com/featured-insights/future-of-work/skill-shift-automation-and-the-future-of-the-workforce ER - TY - JOUR T1 - Sustainable skills for the world of work in the digital age JF - Systems Research and Behavioral Science Y1 - 2018 A1 - Sousa, Maria José A1 - Wilks, Daniela ED - Laszlo, Alexander VL - 35 IS - 4 ER - TY - BOOK T1 - Understanding tasks, automation, and the national health service Y1 - 2018 A1 - Willis, Matt A1 - Meyer, Eric T. ED - Chowdhury, Gobinda ED - McLeod, Julie ED - Gillet, Val ED - Willett, Peter PB - Springer International Publishing CY - Cham VL - 10766 SN - 978-3-319-78104-4 ER - TY - CONF T1 - Work that Enables Care: Understanding Tasks, Automation, and the National Health Service T2 - iConference Y1 - 2018 A1 - Matt WIllis A1 - Eric T. Meyer KW - automation KW - Ethnography KW - Primary care KW - Sociotechnical AB - Automation of jobs is discussed as a threat to many job occupations, but in the UK healthcare sector many view technology and automation as a way to save a threatened system. However, existing quantitative models that rely on occupation-level measures of the likelihood of automation suggest that few healthcare occupations are susceptible to automation. In order to improve these quantitative models, we focus on the potential impacts of task-level automation on health work, using qualitative ethnographic research to understand the mundane information work in general practices. By understanding the detailed tasks and variations of information work, we are building a more complete and accurate understanding of how healthcare staff work and interact with technology and with each other, often mediated by technology. JF - iConference PB - Springer ER - TY - CHAP T1 - Agents as collaborating team members Y1 - 2017 A1 - Abhijit V. Deshmukh A1 - Sara A.McComb A1 - Christian Wernz KW - bots PB - EBSCO UR - https://www.taylorfrancis.com/books/e/9781315593166/chapters/10.1201/9781315593166-7 ER - TY - JOUR T1 - Algorithms (and the) everyday JF - Information, Communication & Society Y1 - 2017 A1 - Willson, Michele VL - 20 IS - 1 ER - TY - JOUR T1 - Artificial intelligence in healthcare: past, present and future JF - Stroke and Vascular Neurology Y1 - 2017 A1 - Jiang, Fei A1 - Jiang, Yong A1 - Zhi, Hui A1 - Dong, Yi A1 - Li, Hao A1 - Ma, Sufeng A1 - Wang, Yilong A1 - Dong, Qiang A1 - Shen, Haipeng A1 - Wang, Yongjun VL - 2 IS - 4 ER - TY - JOUR T1 - Artificial intelligence in research JF - Science Y1 - 2017 A1 - Musib, Mrinal A1 - Wang, Feng A1 - Tarselli, Michael A. A1 - Yoho, Rachel A1 - Yu, Kun-Hsing A1 - Andrés, Rigoberto Medina A1 - Greenwald, Noah F. A1 - Pan, Xubin A1 - Lee, Chien-Hsiu A1 - Zhang, Jian A1 - Dutton-Regester, Ken A1 - Johnston, Jake Wyatt A1 - Sharafeldin, Icell Mahmoud VL - 357 IS - 6346 ER - TY - ICOMM T1 - As amazon pushes forward with robots, workers find new roles Y1 - 2017 A1 - Nick Wingfield JF - The New York Times UR - https://www.nytimes.com/2017/09/10/technology/amazon-robots-workers.html ER - TY - JOUR T1 - Computing brains: Learning algorithms and neurocomputation in the smart city JF - Information, Communication & Society Y1 - 2017 A1 - Williamson, Ben VL - 20 IS - 1 ER - TY - JOUR T1 - Deep learning for healthcare: review, opportunities and challenges JF - Briefings in Bioinformatics Y1 - 2017 A1 - Miotto, Riccardo A1 - Wang, Fei A1 - Wang, Shuang A1 - Jiang, Xiaoqian A1 - Joel T. Dudley VL - 19 IS - 6 ER - TY - MGZN T1 - A future that works: Automation, employment and productivity Y1 - 2017 A1 - James Manyika A1 - Michael Chui A1 - Mehdi Miremadi A1 - Jaccques Bughin A1 - Katy George A1 - Paul Willmott A1 - Martin Dewhurst JF - McKinsey Global Institute UR - https://www.mckinsey.com/mgi/overview ER - TY - RPRT T1 - Jobs lost, jobs gained: Workforce transactions in a time of automation Y1 - 2017 A1 - James Manyika A1 - Susan Lund A1 - Michael Chui A1 - Jonathan Woetzel A1 - Ryan Ko A1 - Saurabh Sanghvi A1 - Parul Batra A1 - Jacques Bughin KW - consulting reports JF - McKinsey Global Institute UR - https://www.mckinsey.com/~/media/mckinsey/featured%20insights/future%20of%20organizations/what%20the%20future%20of%20work%20will%20mean%20for%20jobs%20skills%20and%20wages/mgi-jobs-lost-jobs-gained-report-december-6-2017.ashx ER - TY - NEWS T1 - Meet the people who train the robots to do their own jobs T2 - The New York Times Y1 - 2017 A1 - Daisuke Wakabayashi JF - The New York Times UR - https://nyti.ms/2paCS5X ER - TY - JOUR T1 - Of robots, Artificial Intelligence, and work JF - Academy of Management Perspectives Y1 - 2017 A1 - Phan, Phillip A1 - Wright, Michael A1 - Lee, Soo-Hoon VL - 31 IS - 4 ER - TY - BOOK T1 - Refining the concept of scientific inference when working with big data Y1 - 2017 ED - Wender, Ben A. PB - National Academies Press CY - Washington, D.C. SN - 978-0-309-45444-5 ER - TY - JOUR T1 - Understanding human-machine networks JF - ACM Computing Surveys Y1 - 2017 A1 - Tsvetkova, Milena A1 - Yasseri, Taha A1 - Meyer, Eric T. A1 - Pickering, J. Brian A1 - Engen, Vegard A1 - Walland, Paul A1 - Lüders, Marika A1 - Følstad, Asbjørn A1 - Bravos, George VL - 50 IS - 1 ER - TY - RPRT T1 - Workforce of the future: The competing forces shaping 2030 Y1 - 2017 A1 - Carol Stubbings Stubbings A1 - Jon Williams JF - pwc UR - https://www.pwc.co.uk/economic-services/ukeo/pwc-uk-economic-outlook-full-report-march-2017-v2.pdf ER - TY - CONF T1 - Intelligible Models for HealthCare T2 - the 21th ACM SIGKDD International ConferenceProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15 Y1 - 2015 A1 - Caruana, Rich A1 - Lou, Yin A1 - Gehrke, Johannes A1 - Koch, Paul A1 - Sturm, Marc A1 - Elhadad, Noemie JF - the 21th ACM SIGKDD International ConferenceProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15 PB - ACM Press CY - Sydney, NSW, AustraliaNew York, New York, USA SN - 9781450336642 ER - TY - JOUR T1 - Toward a computational hermeneutics JF - Big Data & Society Y1 - 2015 A1 - Mohr, John W A1 - Wagner-Pacifici, Robin A1 - Breiger, Ronald L VL - 2 IS - 2 ER - TY - RPRT T1 - Beyond convergence of Nano-Bio-Info-Cognitive technologies Y1 - 2013 A1 - Mihail C. Roco A1 - William S. Bainbridge A1 - Bruce Tonn A1 - George Whitesides JF - WTEC Study on Convergence of Knowledge, Technology, and Society UR - http://www.wtec.org/NBIC2/Docs/FinalReport/Pdf-secured/NBIC2-FinalReport-WEB.pdf ER - TY - JOUR T1 - Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature JF - Journal of Informetrics Y1 - 2011 A1 - Wagner, Caroline S. A1 - Roessner, J. David A1 - Bobb, Kamau A1 - Klein, Julie Thompson A1 - Boyack, Kevin W. A1 - Keyton, Joann A1 - Rafols, Ismael A1 - Börner, Katy VL - 5 IS - 1 ER - TY - JOUR T1 - Prediction modeling using EHR data: Challenges, strategies, and a comparison of machine learning approaches JF - Medical Care Y1 - 2010 A1 - Jionglin Wu A1 - Jason Ray A1 - Walter F. Stewart PB - Lippincott Williams & Wilkins VL - 48 UR - https://www.jstor.org/stable/20720782 ER - TY - BOOK T1 - Handbook of psychology work design Y1 - 2003 A1 - Morgeson, Frederick P. A1 - Campion, Michael A. ED - Weiner, Irving B. PB - John Wiley & Sons, Inc. CY - Hoboken, NJ, USA ER - TY - JOUR T1 - Can we ever escape from data overload? A cognitive systems diagnosis JF - Cognition, Technology & Work Y1 - 2002 A1 - Woods, D. D. A1 - Patterson, E. S. A1 - Roth, E. M. VL - 4 IS - 1 ER - TY - JOUR T1 - Shift changes, updates, and the on-call architecture in space shuttle mission control JF - Computer Supported Cooperative Work (CSCW) Y1 - 2001 A1 - Patterson, Emily S. A1 - Woods, David D. VL - 10 IS - 3-4 ER - TY - CHAP T1 - Automation surprises T2 - Handbook of Human Factors and Ergonomics Y1 - 1997 A1 - Sarter, Nadine B. A1 - Woods, David D. A1 - Billings, Charles E. JF - Handbook of Human Factors and Ergonomics VL - 2 ER - TY - Generic T1 - Complementary allocation of functions in automated work systems T2 - International Conference on Human-Computer Interaction (HCI International) Y1 - 1995 A1 - G. Grote A1 - S. Weik A1 - T. Wafler A1 - M. Zolch JF - International Conference on Human-Computer Interaction (HCI International) PB - Elsevier VL - 20 ER - TY - JOUR T1 - Development and test of a task level model of motivational job design JF - Journal of Applied Psychology Y1 - 1991 A1 - Wong, Chi-sum A1 - Campion, Michael A. VL - 76 ER - TY - JOUR T1 - “Algorithm” and “formula” JF - Communications of the ACM Y1 - 1966 A1 - Wangsness, T. A1 - Franklin, J. VL - 9 IS - 4 ER -