Multitasking with Play Write, a Mobile Microproductivity Writing Tool

Iqbal, Shamsi T.; Teevan, Jaime; Liebling, Dan; Thompson, Anne Loomis

doi:10.1145/3242587.3242611

Cited by 23 publications

(9 citation statements)

References 40 publications

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“…Previous research has found that writing requires high levels of focus and is often negatively impacted by interruptions, such as meetings and emails, which are omnipresent in many knowledge work environments. To support completion of writing tasks, previous research has suggested the use of micro-tasking strategies and tools where long writing tasks are broken down into small components and done whenever workers get a chance to do them [4,6]. Given that people had difficulties in estimating the completion time of these tasks, encouraging the use of micro-tasking strategies is in line with the current findings.…”

Section: Discussionsupporting

confidence: 82%

“…Intelligent task management systems and AI assistants, such as Microsoft Cortana, attempt to automate the estimation the duration of calendar tasks [15] and predict the time it takes to complete them [14]. Another stream of research works on developing conversational agents such as taskBot [13] and calendar.help [6] to help automatic scheduling of appointments with known duration. However, there is not much work beyond arranging and scheduling well-defined tasks, such as meetings.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Time Estimation Bias in Knowledge Work: Tasks With Fewer Time Constraints Are More Error-Prone

Ahmetoglu

Brumby

Cox

2020

Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

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Previous research has found that people often make time estimation errors in their daily planning at work. However, there is limited insight on the types of estimation errors found in different knowledge work tasks. This one-day diary study with 20 academics compared the tasks people aimed to achieve in the morning with what they actually did during the day. Results showed that participants were good at estimating the duration of time-constrained tasks, such as meetings, however they were biased when estimating the time they would spend on less time-constrained tasks. Particularly, the time needed for email and coding tasks was underestimated, whereas the time needed for writing research and planning activities was overestimated. The findings extend previous research by measuring in situ whether some tasks are more prone to time estimation errors than others. Planning and scheduling (AI) tools could incorporate this knowledge to help people overcome these time estimation biases in their work.

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Section: Discussionsupporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Time Estimation Bias in Knowledge Work: Tasks With Fewer Time Constraints Are More Error-Prone

Ahmetoglu

Brumby

Cox

2020

Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

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show abstract

“…Furthermore, computational analysis has taken place in extracting writing strategies from alargeamount of articles [2]. New writing strategies such as microwriting has been studied in the context of gamified writing [22], or to support collaborative writing [53] and crowdsourced writing [36].…”

Section: In the Context Of Writing Support Researchmentioning

confidence: 99%

Typist Experiment: an Investigation of Human-to-Human Dictation via Role-play to Inform Voice-based Text Authoring

Liu

Feng

et al. 2022

Proc. ACM Hum.-Comput. Interact.

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Voice dictation is increasingly used for text entry, especially in mobile scenarios. However, the speech-based experience gets disrupted when users must go back to a screen and keyboard to review and edit the text. While existing dictation systems focus on improving transcription and error correction, little is known about how to support speech input for the entire text creation process, including composition, reviewing and editing. We conducted an experiment in which ten pairs of participants took on the roles of authors and typists to work on a text authoring task. By analysing the natural language patterns of both authors and typists, we identified new challenges and opportunities for the design of future dictation interfaces, including the ambiguity of human dictation, the differences between audio-only and with screen, and various passive and active assistance that can potentially be provided by future systems.

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“…While it is certainly important to evaluate the quality of the writing in future studies, we scope our investigation solely on the writing process and the users' experience as something that we can confidently provide results and reflections on. We point to similar publications [23,32] that also evaluated their respective system in this manner.…”

Section: Discussionmentioning

confidence: 75%

Search Support for Exploratory Writing

Oppenlaender

Kuosmanen

Gonçalves

et al. 2019

Human-Computer Interaction – INTERACT 2019

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Writing articles involves searching, exploring, evaluating and reflecting upon different perspectives. To this end, online search engines are commonly used tools to support writing. However, online search engines, such as Google, fall short in supporting complex queries that satisfy multiple criteria simultaneously. In this paper, we present our studies with GAS, a crowd-powered tool that allows writers to discover viewpoints, solutions and ideas that best fulfil multiple criteria simultaneously. Our user studies validate GAS as a beneficial companion to online search engines in supporting writing. We found that GAS helps people come up with ideas and write with more confidence, resulting in a higher self-reported article quality and accuracy when compared to only using an online search engine. Through our experiments, we also develop an understanding of the distinct process that people employ when searching for and exploring open-ended, subjective information to support exploratory writing.

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Multitasking with Play Write, a Mobile Microproductivity Writing Tool

Cited by 23 publications

References 40 publications

Time Estimation Bias in Knowledge Work: Tasks With Fewer Time Constraints Are More Error-Prone

Time Estimation Bias in Knowledge Work: Tasks With Fewer Time Constraints Are More Error-Prone

Typist Experiment: an Investigation of Human-to-Human Dictation via Role-play to Inform Voice-based Text Authoring

Search Support for Exploratory Writing

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