Advait Sarkar

schoolMicrosoftbar_chart#1016 Global Rank

Total Papers

HCI Rank

#1016

Research Areas

Years Active

Recent Publications

"How Do You Know That Stuff?": Barriers to Expertise Sharing Among Spreadsheet Users

Spreadsheet collaboration provides valuable opportunities for learning and expertise sharing between colleagues. Expertise sharing practices, in particular, are essential for ensuring that important technical skillsets are retained within organisations, but previous studies suggest that spreadsheet experts often fail…

CHI '252nd AuthorGenerative AI (Text, Image, Music, Video) +1

The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers

The rise of Generative AI (GenAI) in knowledge workflows raises questions about its impact on critical thinking skills and practices. We survey 319 knowledge workers to investigate 1) when and how they perceive the enaction of critical thinking when using GenAI, and 2) when and why GenAI affects their effort to do so.…

UIST '24CorrespondingHuman-LLM Collaboration +2

Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition

LLM-powered tools like ChatGPT Data Analysis, have the potential to help users tackle the challenging task of data analysis programming, which requires expertise in data processing, programming, and statistics. However, our formative study (n=15) uncovered serious challenges in verifying AI-generated results and steer…

CHI '245th+ AuthorBest PaperGenerative AI (Text, Image, Music, Video) +2

The Metacognitive Demands and Opportunities of Generative AI

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—the psychological ability to monitor and control one’s thoughts and behavior…

CHI '232nd AuthorHonorable MentionGenerative AI (Text, Image, Music, Video) +1

"What It Wants Me To Say": Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models

Code-generating large language models map natural language to code. However, only a small portion of the infinite space of naturalistic utterances is effective at guiding code generation. For non-expert end-user programmers, learning this is the challenge of abstraction matching. We examine this challenge in the speci…

CHI '22CorrespondingInteractive Data Visualization +1

"It's Freedom to Put Things Where My Mind Wants": Understanding and Improving the User Experience of Structuring Data in Spreadsheets

Despite efforts to augment or replace the 2-dimensional spreadsheet grid with formal data structures such as arrays and tables to ease formula authoring and reduce errors, the flexible grid remains overwhelmingly successful. Why? We interviewed a diverse sample of 21 spreadsheet users about their use of structure in s…

CHI '21CorrespondingKnowledge Worker Tools & Workflows +1

TweakIt: Supporting End-User Programmers Who Transmogrify Code

End-user programmers opportunistically copy-and-paste code snippets from colleagues or the web to accomplish their tasks. Unfortunately, these snippets often don't work verbatim, so these people---who are non-specialists in the programming language---make guesses and tweak the code to understand and apply it successfu…

CHI '212nd AuthorKnowledge Worker Tools & Workflows +1

Spreadsheet Comprehension: Guesswork, Giving up and Going back to the Author

Spreadsheet users routinely read, and misread, others' spreadsheets, but literature offers only a high-level understanding of users' comprehension behaviours. This limits our ability to support millions of users in spreadsheet comprehension activities. Therefore, we conducted a think-aloud study of 15 spreadsheet user…

IUI '19CorrespondingAutomated Driving Interface & Takeover Design +1

Assessing Public Perception of Self-Driving Cars: the Autonomous Vehicle Acceptance Model

We introduce the Autonomous Vehicle Acceptance Model (AVAM), a model of user acceptance for autonomous vehicles, adapted from existing models of user acceptance for generic technologies. A 26-item questionnaire is developed in accordance with the model and a survey conducted to evaluate 6 autonomy scenarios. In a pilo…

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