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Author: 1802

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"I Didn't Know I Looked Angry": Characterizing Observed Emotion and Reported Affect at Work

With the growing prevalence of affective computing applications, Automatic Emotion Recognition (AER) technologies have garnered attention in both research and industry settings. Initially limited to speech-based applications, AER technologies now include analysis of facial landmarks to provide predicted probabilities…

Harmanpreet Kaur et al.University of Michigan

Large Scale Analysis of Multitasking Behavior During Remote Meetings

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 limited understanding of multitasking in remote meetings and its potenti…

Hancheng Cao et al.Stanford University

Scraps: Enabling Mobile Capture, Contextualization, and Use of Document Resources

People often capture photos or notes from their phones to integrate later into a document. But current mobile capture tools can make this hard, with the captured information ending up fragmented and decontextualized. This paper explores how to help document authors capture, contextualize, and use document-related info…

Amanda M Swearngin et al.University Of Washington

UIST+CSCW: A Celebration of Systems Research in Collaborative and Social Computing

This joint panel between UIST and CSCW brings together leading researchers at the intersection of the conferences—systems researchers in collaborative and social computing—to engage in a discussion and retrospective. Pairs of panelists will represent each decade since the founding of the conferences, sharing a brief r…

Michael S Bernstein et al.Stanford University

UIST+CSCW: A Celebration of Systems Research in Collaborative and Social Computing

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Optimizing for Happiness and Productivity: Modeling Opportune Moments for Transitions and Breaks at Work

Information workers perform jobs that demand constant multitasking, leading to context switches, productivity loss, stress, and unhappiness. Systems that can mediate task transitions and breaks have the potential to keep people both productive and happy. We explore a crucial initial step for this goal: finding opportu…

Harmanpreet Kaur et al.University of Michigan

Mercury: Empowering Programmers' Mobile Practices with Microproductivity

There has been considerable research on how software can enhance programmers' productivity within their workspace. In this paper, we instead explore how software might help programmers make productive use of their time while away from their workspace. We interviewed 10 software engineers and surveyed 78 others and fou…

Alex C Williams et al.

University of Waterloo

Sketching NLP: A Case Study of Exploring the Right Things To Design with Language Intelligence

This paper investigates how to sketch NLP-powered user experiences. Sketching is a cornerstone of design innovation. When sketching, designers rapidly experiment with a number of abstract ideas using simple, tangible instruments such as drawings and paper prototypes. Sketching NLP-powered experiences, however, present…

Qian Yang et al.Cornell University

An Exploration of Speech-Based Productivity Support in the Car

In-car intelligent assistants offer the opportunity to help drivers productively use previously unclaimed time during their commute. However, engaging in secondary tasks can reduce attention on driving and thus may affect road safety. Any interface used while driving, even if speech-based, cannot consider non-driving…

Nikolas Martelaro et al.Carnegie Mellon University

Casual Microtasking: Embedding Microtasks in Facebook

Microtasks enable people with limited time and context to contribute to a larger task. In this paper we explore casual microtasking, where microtasks are embedded into other primary activities so that they are available to be completed when convenient. We present a casual microtasking experience that inserts writing m…

Nathan Hahn et al.Carnegie Mellon University

Guidelines for Human-AI Interaction

Advances in artificial intelligence (AI) frame opportunities and challenges for user interface design. Principles for human-AI interaction have been discussed in the human-computer interaction community for over two decades, but more study and innovation are needed in light of advances in AI and the growing uses of AI…

Saleema Amershi et al.Microsoft

Creating Better Action Plans for Writing Tasks via Vocabulary-Based Planning

While having a step-by-step breakdown for a task—an action plan—helps people complete tasks, prior work has shown that people prefer not to make action plans for their own tasks. Getting planning support from others could be beneficial, but it is limited by how much domain knowledge people have about the task and how…

Harmanpreet Kaur et al.University of Michigan

Language and Linguistics

Multitasking with Play Write, a Mobile Microproductivity Writing Tool

Mobile devices offer people the opportunity to get useful tasks done during time previously thought to be unusable. Because mobile devices have small screens and are often used in divided attention scenarios, people are limited to using them for short, simple tasks; complex tasks like editing a document present signif…

Shamsi T. Iqbal et al.Microsoft

Supporting Workplace Detachment and Reattachment with Conversational Intelligence

Research has shown that productivity is mediated by an individual’s ability to detach from their work at the end of the day and reattach with it when they return the next day. In this paper we explore the extent to which structured dialogues, focused on individuals’ work-related tasks or emotions, can help them with t…

Alex C Williams et al.University of Waterloo

Paper Title	Authors	Research Topics
"I Didn't Know I Looked Angry": Characterizing Observed Emotion and Reported Affect at Work With the growing prevalence of affective computing applications, Automatic Emotion Recognition (AER) technologies have garnered attention in both research and industry settings. Initially limited to speech-based applications, AER technologies now include analysis of facial landmarks to provide predicted probabilities…	HK Harmanpreet Kaur et al.University of Michigan
emoji_events Large Scale Analysis of Multitasking Behavior During Remote Meetings 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 limited understanding of multitasking in remote meetings and its potenti…	HC Hancheng Cao et al.Stanford University
emoji_events Scraps: Enabling Mobile Capture, Contextualization, and Use of Document Resources People often capture photos or notes from their phones to integrate later into a document. But current mobile capture tools can make this hard, with the captured information ending up fragmented and decontextualized. This paper explores how to help document authors capture, contextualize, and use document-related info…	AS Amanda M Swearngin et al.University Of Washington
UIST+CSCW: A Celebration of Systems Research in Collaborative and Social Computing This joint panel between UIST and CSCW brings together leading researchers at the intersection of the conferences—systems researchers in collaborative and social computing—to engage in a discussion and retrospective. Pairs of panelists will represent each decade since the founding of the conferences, sharing a brief r…	MB Michael S Bernstein et al.Stanford University	UIST+CSCW: A Celebration of Systems Research in Collaborative and Social Computing
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
Optimizing for Happiness and Productivity: Modeling Opportune Moments for Transitions and Breaks at Work Information workers perform jobs that demand constant multitasking, leading to context switches, productivity loss, stress, and unhappiness. Systems that can mediate task transitions and breaks have the potential to keep people both productive and happy. We explore a crucial initial step for this goal: finding opportu…	HK Harmanpreet Kaur et al.University of Michigan
Mercury: Empowering Programmers' Mobile Practices with Microproductivity There has been considerable research on how software can enhance programmers' productivity within their workspace. In this paper, we instead explore how software might help programmers make productive use of their time while away from their workspace. We interviewed 10 software engineers and surveyed 78 others and fou…	AW Alex C Williams et al.University of Waterloo
emoji_events Sketching NLP: A Case Study of Exploring the Right Things To Design with Language Intelligence This paper investigates how to sketch NLP-powered user experiences. Sketching is a cornerstone of design innovation. When sketching, designers rapidly experiment with a number of abstract ideas using simple, tangible instruments such as drawings and paper prototypes. Sketching NLP-powered experiences, however, present…	QY Qian Yang et al.Cornell University
An Exploration of Speech-Based Productivity Support in the Car In-car intelligent assistants offer the opportunity to help drivers productively use previously unclaimed time during their commute. However, engaging in secondary tasks can reduce attention on driving and thus may affect road safety. Any interface used while driving, even if speech-based, cannot consider non-driving…	NM Nikolas Martelaro et al.Carnegie Mellon University
Casual Microtasking: Embedding Microtasks in Facebook Microtasks enable people with limited time and context to contribute to a larger task. In this paper we explore casual microtasking, where microtasks are embedded into other primary activities so that they are available to be completed when convenient. We present a casual microtasking experience that inserts writing m…	NH Nathan Hahn et al.Carnegie Mellon University
emoji_events Guidelines for Human-AI Interaction Advances in artificial intelligence (AI) frame opportunities and challenges for user interface design. Principles for human-AI interaction have been discussed in the human-computer interaction community for over two decades, but more study and innovation are needed in light of advances in AI and the growing uses of AI…	SA Saleema Amershi et al.Microsoft
Creating Better Action Plans for Writing Tasks via Vocabulary-Based Planning While having a step-by-step breakdown for a task—an action plan—helps people complete tasks, prior work has shown that people prefer not to make action plans for their own tasks. Getting planning support from others could be beneficial, but it is limited by how much domain knowledge people have about the task and how…	HK Harmanpreet Kaur et al.University of Michigan	Language and Linguistics
Multitasking with Play Write, a Mobile Microproductivity Writing Tool Mobile devices offer people the opportunity to get useful tasks done during time previously thought to be unusable. Because mobile devices have small screens and are often used in divided attention scenarios, people are limited to using them for short, simple tasks; complex tasks like editing a document present signif…	SI Shamsi T. Iqbal et al.Microsoft
Supporting Workplace Detachment and Reattachment with Conversational Intelligence Research has shown that productivity is mediated by an individual’s ability to detach from their work at the end of the day and reattach with it when they return the next day. In this paper we explore the extent to which structured dialogues, focused on individuals’ work-related tasks or emotions, can help them with t…	AW Alex C Williams et al.University of Waterloo