Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Tankelevitch A"'
Autor:
Ma, Fang, Zhang, Ju, Tankelevitch, Lev, Panda, Payod, Asadi, Torang, Hewitt, Charlie, Petikam, Lohit, Gillies, Marco, Pan, Xueni, Rintel, Sean, Wilczkowiak, Marta
Avatars are edging into mainstream videoconferencing, but evaluation of how avatar animation modalities contribute to work meeting outcomes has been limited. We report a within-group videoconferencing experiment in which 68 employees of a global tech
Externí odkaz:
http://arxiv.org/abs/2412.13265
Publikováno v:
Proceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work (CHIWORK 2024)
Generative AI tools can help users with many tasks. One such task is data analysis, which is notoriously challenging for non-expert end-users due to its expertise requirements, and where AI holds much potential, such as finding relevant data sources,
Externí odkaz:
http://arxiv.org/abs/2407.02903
Effective meetings are effortful, but traditional videoconferencing systems offer little support for reducing this effort across the meeting lifecycle. Generative AI (GenAI) has the potential to radically redefine meetings by augmenting intentional m
Externí odkaz:
http://arxiv.org/abs/2405.18239
Ineffective meetings due to unclear goals are major obstacles to productivity, yet support for intentionality is surprisingly scant in our meeting and allied workflow technologies. To design for intentionality, we need to understand workers' attitude
Externí odkaz:
http://arxiv.org/abs/2402.18526
Autor:
Simkute, Auste, Tankelevitch, Lev, Kewenig, Viktor, Scott, Ava Elizabeth, Sellen, Abigail, Rintel, Sean
Generative AI (GenAI) systems offer opportunities to increase user productivity in many tasks, such as programming and writing. However, while they boost productivity in some studies, many others show that users are working ineffectively with GenAI s
Externí odkaz:
http://arxiv.org/abs/2402.11364
Autor:
Tankelevitch, Lev, Kewenig, Viktor, Simkute, Auste, Scott, Ava Elizabeth, Sarkar, Advait, Sellen, Abigail, Rintel, Sean
Publikováno v:
Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI 2024)
Generative AI (GenAI) systems offer unprecedented opportunities for transforming professional and personal work, yet present challenges around prompting, evaluating and relying on outputs, and optimizing workflows. We argue that metacognition$\unicod
Externí odkaz:
http://arxiv.org/abs/2312.10893
Workplace meetings are vital to organizational collaboration, yet relatively little progress has been made toward measuring meeting effectiveness and inclusiveness at scale. The recent rise in remote and hybrid meetings represents an opportunity to d
Externí odkaz:
http://arxiv.org/abs/2304.00652
Publikováno v:
In Journal of Vocational Behavior August 2024 152
Autor:
Jeremy Hyrkas, Andrew D Wilson, John Tang, Hannes Gamper, Hong Sodoma, Lev Tankelevitch, Kori Inkpen, Shreya Chappidi, Brennan Jones
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2faf5a776a9f6d75f3a8ed13adfb2023
https://doi.org/10.1145/3544548.3581085
https://doi.org/10.1145/3544548.3581085
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.