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of 72
pro vyhledávání: '"Rintel, Sean"'
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:
Sarkar, Advait, Drosos, Ian, Deline, Rob, Gordon, Andrew D., Negreanu, Carina, Rintel, Sean, Williams, Jack, Zorn, Benjamin
Publikováno v:
Proceedings of the 34th Annual Conference of the Psychology of Programming Interest Group (PPIG 2023)
Generative AI, such as image generation models and large language models, stands to provide tremendous value to end-user programmers in creative and knowledge workflows. Current research methods struggle to engage end-users in a realistic conversatio
Externí odkaz:
http://arxiv.org/abs/2312.16633
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
Interest in hybrid collaboration and meetings (HCM), where several co-located participants engage in coordinated work with remote participants, is gaining unprecedented momentum after the rapid shift in working from home due to the COVID-19 pandemic.
Externí odkaz:
http://arxiv.org/abs/2111.06172
Autor:
Bleakley, Anna, Rough, Daniel, Edwards, Justin, Doyle, Philip R., Dumbleton, Odile, Clark, Leigh, Rintel, Sean, Wade, Vincent, Cowan, Benjamin R.
Video conferencing systems have long facilitated work-related conversations among remote teams. However, social distancing due to the COVID-19 pandemic has forced colleagues to use video conferencing platforms to additionally fulfil social needs. Soc
Externí odkaz:
http://arxiv.org/abs/2109.14965
Publikováno v:
In Journal of Vocational Behavior August 2024 152
Autor:
Cao, Hancheng, Lee, Chia-Jung, Iqbal, Shamsi, Czerwinski, Mary, Wong, Priscilla, Rintel, Sean, Hecht, Brent, Teevan, Jaime, Yang, Longqi
Virtual meetings are critical for remote work because of the need for synchronous collaboration in the absence of in-person interactions. In-meeting multitasking is closely linked to people's productivity and wellbeing. However, we currently have lim
Externí odkaz:
http://arxiv.org/abs/2101.11865