Who's new

Devesh Narayanan Stanford University
Bas Becker Vrije Universiteit Amsterdam
Luciana Dadderio Edinburgh University
Jocelyn Cranefield Victoria University of Wellington
Wayne Wang Fundação Getulio Vargas

Recent publications

Technological Frames: Interpretations about the Futures of Work and Intelligent Machines on Social Media , Ayşe Öcal; Kevin Crowston
ReelFramer: Human-AI Co-Creation for News-to-Video Translation , Sitong Wang; Samia Menon; Tao Long; Keren Henderson; Dingzeyu Li; Kevin Crowston; Mark Hansen; Jeffrey V. Nickerson; Lydia B. Chilton
Making sense of AI systems development , Mateusz Dolata; Kevin Crowston
AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models , Savvas Petridis; Nicholas Diakopoulos; Kevin Crowston; Mark Hansen; Keren Henderson; Stan Jastrzebski; Jefrey V. Nickerson; Lydia B. Chilton
Project archetypes: A blessing and a curse for AI development , Mateusz Dolata; Kevin Crowston; Gerhard Schwabe

Recently added resources

Situating “explainability”: Making sense of data-driven assemblages in organizational context , Presentation , Christine T. Wolf
Are We Ready For A Life Interdisciplinary , Presentation , Ryan Watkins
HSS 408-461: Robots + Work , Syllabus , Bernadette Long

Pages

You are here

Papers

Search

Show only items where

Author

Type

Term

Year

Keyword

Export 11 results:

Filters: First Letter Of Last Name is S [Clear All Filters]

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

blockchain

Arduengo, M., & Sentis, L.. (2020). The Robot Economy : Here It Comes. International Journal Of Social Robotics. https://doi.org/10.1007/s12369-020-00686-1

Blue Prism automation

Shvets, A., & Shvets, V.. (2018). Cognitive and technological aspects of e-learning in context of robotization. Cognitive Science – New Media – Education, 3(2), 65. https://doi.org/10.12775/CSNME.2017.013

Shvets, A., & Shvets, V.. (2018). Cognitive and technological aspects of e-learning in context of robotization. Cognitive Science – New Media – Education, 3(2), 65. https://doi.org/10.12775/CSNME.2017.013

bots

Murphy, R. R., & Schreckenghost, D.. (2013). Survey of metrics for human-robot interaction. In IEEE International Conference. Presented at the IEEE International Conference. Retrieved de https://ieeexplore.ieee.org/document/6483569

Stengler, E., & Perez, J. Escudero. (2017). Speculations and concerns on robots status in society. Journal Of Science Communication. Retrieved de https://jcom.sissa.it/sites/default/files/documents/JCOM_1604_2017_C06.pdf

chatbot

Sidaoui, K., Jaakkola, M., & Burton, J.. (2020). AI feel you: customer experience assessment via chatbot interviews. Journal Of Service Management. https://doi.org/10.1108/JOSM-11-2019-0341

Cloud robotics

Arduengo, M., & Sentis, L.. (2020). The Robot Economy : Here It Comes. International Journal Of Social Robotics. https://doi.org/10.1007/s12369-020-00686-1

collective intelligence

Suran, S., Pattanaik, V., & Draheim, D.. (2020). Frameworks for collective intelligence: A systematic literature review. In ACM Computing Surveys (pp. 1–36). https://doi.org/10.1145/3368986

Computer-Integrated-Manufacturing CIM

Kirsh, C., Strohm, O., & Ulich, E.. (1994). Design concepts of computer-aided integrated manufacturing systems: Work-psychological concepts and empirical findings. International Journal Of Industrial Ergonomics, 17.

consulting reports

Lund, S., Manyika, J., Segal, L. Hilton, Dua, A., Hancock, B., Rutherford, S., & Macon, B.. (2019). The future of the work in America. In McKinsey Global Institute. Retrieved de https://www.mckinsey.com/featured-insights/future-of-work/the-future-of-work-in-america-people-and-places-today-and-tomorrow

Manyika, J., Lund, S., Chui, M., Woetzel, J., Ko, R., Sanghvi, S., et al.. (2017). Jobs lost, jobs gained: Workforce transactions in a time of automation. In McKinsey Global Institute. Retrieved de 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

Draca, M., Martin, R., & Sanchis-Guarner, R.. (2018). The evolving role of ICT in the economy. In The London School of Economics and Political Science. Retrieved de http://www.lse.ac.uk/business-and-consultancy/consulting/consulting-reports/the-evolving-role-of-ict-in-the-economy

Convolutional neural networks

Kernbach, J. M., & Staartjes, V. E.. (2020). Machine learning-based clinical prediction modeling – A practical guide for clinicians. Artificial Intelligence In Precision Health, 257–278. https://doi.org/10.1016/b978-0-12-817133-2.00011-2

criminal justice system

Sushina, T., & Sobenin, A.. (2020). Artificial Intelligence in the Criminal Justice System: Leading Trends and Possibilities. In Proceedings of the 6th International Conference on Social, economic, and academic leadership (ICSEAL-6-2019) (441, 432–437). https://doi.org/10.2991/assehr.k.200526.062

Sushina, T., & Sobenin, A.. (2020). Artificial Intelligence in the Criminal Justice System: Leading Trends and Possibilities. In Proceedings of the 6th International Conference on Social, economic, and academic leadership (ICSEAL-6-2019) (441, 432–437). https://doi.org/10.2991/assehr.k.200526.062

Crowdsourcing

Suran, S., Pattanaik, V., & Draheim, D.. (2020). Frameworks for collective intelligence: A systematic literature review. In ACM Computing Surveys (pp. 1–36). https://doi.org/10.1145/3368986

Customer experience

Sidaoui, K., Jaakkola, M., & Burton, J.. (2020). AI feel you: customer experience assessment via chatbot interviews. Journal Of Service Management. https://doi.org/10.1108/JOSM-11-2019-0341

Customer feelings

Sidaoui, K., Jaakkola, M., & Burton, J.. (2020). AI feel you: customer experience assessment via chatbot interviews. Journal Of Service Management. https://doi.org/10.1108/JOSM-11-2019-0341

Data mining applications

Phua, C., Lee, V., Smith, K., & Gayler, R.. (2013). A Comprehensive Survey of Data Mining-based Fraud Detection Research. Retrieved de https://arxiv.org/ftp/arxiv/papers/1009/1009.6119.pdf

Deep neural networks

Kernbach, J. M., & Staartjes, V. E.. (2020). Machine learning-based clinical prediction modeling – A practical guide for clinicians. Artificial Intelligence In Precision Health, 257–278. https://doi.org/10.1016/b978-0-12-817133-2.00011-2

Design

Seeber, I., Bittner, E., Briggs, R. O., de Vreede, T., de Vreede, G. Jan, Elkins, A., et al.. (2020). Machines as teammates: A research agenda on AI in team collaboration. Information And Management, 57, 103174. https://doi.org/10.1016/j.im.2019.103174

Seeber, I., Bittner, E., Briggs, R. O., de Vreede, T., de Vreede, G. Jan, Elkins, A., et al.. (2020). Machines as teammates: A research agenda on AI in team collaboration. Information And Management, 57, 103174. https://doi.org/10.1016/j.im.2019.103174

Seeber, I., Bittner, E., Briggs, R. O., de Vreede, T., de Vreede, G. Jan, Elkins, A., et al.. (2020). Machines as teammates: A research agenda on AI in team collaboration. Information And Management, 57, 103174. https://doi.org/10.1016/j.im.2019.103174

design science research

Döppner, D. A., Schoder, D., Gregory, R. Wayne, & Siejka, H.. (2016). Exploring design principles for human-machine symbiosis: Insights from constructing an air transportation logistics artifact. In Computer Science. Retrieved de https://www.semanticscholar.org/paper/Artificial-Intelligence-and-its-Role-in-Near-Future-Shabbir-Anwer/b93d9995f9ce3b15f4c4855ae62f0bf6f9bc041f

Döppner, D. A., Schoder, D., Gregory, R. Wayne, & Siejka, H.. (2016). Exploring design principles for human-machine symbiosis: Insights from constructing an air transportation logistics artifact. In Computer Science. Retrieved de https://www.semanticscholar.org/paper/Artificial-Intelligence-and-its-Role-in-Near-Future-Shabbir-Anwer/b93d9995f9ce3b15f4c4855ae62f0bf6f9bc041f

Pages