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pro vyhledávání: '"Alok Mysore"'
Publikováno v:
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 7:171-179
In a variety of problem domains, it has been observed that the aggregate opinions of groups are often more accurate than those of the constituent individuals, a phenomenon that has been dubbed the “wisdom of the crowd”. However, due to the varyin
Autor:
Alok Mysore, Philip J. Guo
Publikováno v:
UIST
It can be hard for tutorial creators to get fine-grained feedback about how learners are actually stepping through their tutorials and which parts lead to the most struggle. To provide such feedback for technical software tutorials, we introduce the
Autor:
Philip J. Guo, Alok Mysore
Publikováno v:
UIST
Tutorials are vital for helping people perform complex software-based tasks in domains such as programming, data science, system administration, and computational research. However, it is tedious to create detailed step-by-step tutorials for tasks th
Autor:
Rajat Kumar Agarwal, Avinash Paritala, Sonali Parashar, Pulkit Verma, Himani Agarwal, Shashank Arun-Gokhale, Suprajha Shibiraj, Vibhor Sehgal, Sukanya Venkataraman, Atif Ahmed, Harsh Parikh, Sharad Goel, Ashrith Sheshan, Rahul Phatak, Chiraag Sumanth, Aditya Singh, Bhargav Hs, Mandar Pradhan, Shashank Joshi, Vidit Mathur, Krishna Sangeeth, Akshansh Maharaja, Aayush Attri, Mayank Pahadia, Deepak Garg, Ishan Yelurwar, Alok Mysore, Imanol Arrieta Ibarra, Sandeep Konam, Siddharth Jain, Sreecharan Sankaranarayanan, Arvind Srikantan, Mani Shankar, Sameeksha Khillan, Paras Gupta, Venkata Neehar-Kurukunda, Naman Gupta, Sahil Loomba, Pushkin Soni, Ramesh Arvind, Tarun Khajuria, Abhilasha Ravichander, Prashant Sinha, Glincy Mary Jacob, Bipin Thomas, Vikas S. Yaligar, Mohammed Nawazish, Sai Anirudh-Kondaveeti, Camelia Simoiu, Anjali Singh, Rachit Madan, Sharath Dharmaji, Arpita Chandra, Tushar Dobha, Venkat Nirmal-Gavarraju, Kasyap Varma-Dattada, Praveen Kumar-Kolla, Amit Patil, Bharat Munshi, Yogitha Chilukur
Publikováno v:
UIST (Adjunct Volume)
In a variety of problem domains, it has been observed that the aggregate opinions of groups are often more accurate than those of the constituent individuals, a phenomenon that has been termed the "wisdom of the crowd." Yet, perhaps surprisingly, the