@CompHCILab

We are the Computational HCI Lab @UMichCSE. We study methods, applications, and ethics of Computational Modeling and AI in HCI.

 Ann Arbor, MI
Joined August 2018
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At #Ubicomp2023, @AntarAnindya presented a computational behavior model that forecasts end-of-day physical functioning of people with Multiple Sclerosis (MS) to support timely behavior-based clinical interventions. Work with Anna Kratz and @nikola_banovic. doi.org/10.1145/3580887
Anindya presenting in front of a lectern. A sign reading UBICOMP / ISWC is behind the presenter, and the title slide is projected on a large screen in the right corner of the image.

ALT Anindya presenting in front of a lectern. A sign reading UBICOMP / ISWC is behind the presenter, and the title slide is projected on a large screen in the right corner of the image.

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Former lab member @Xincheng_Huang presented StructureSense (a tracking system using UHF-RFID sensing that infers constructive assembly structures from object motion) at #Ubicomp2023. Work with Keylonnie Miller, Alanson Sample, and @nikola_banovic. doi.org/10.1145/3570343
Xincheng presenting in front of a lectern. A sign reading UBICOMP / ISWC is behind the presenter, and the title slide is projected on a large screen in the right corner of the image.

ALT Xincheng presenting in front of a lectern. A sign reading UBICOMP / ISWC is behind the presenter, and the title slide is projected on a large screen in the right corner of the image.

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Congratulations to @nelescher for winning the Equity-centered Engineering Award at the 2023 Michigan Engineering Three Minute Thesis (3MT) Competition! (egs.engin.umich.edu/) Award sponsored by OCCE (culture.engin.umich.edu/).
Nel holding an enlarged blue check showing the University of Michigan Engineering logo, the name of the award (Equity-centered Engineering), and a three thousand dollars amount.

ALT Nel holding an enlarged blue check showing the University of Michigan Engineering logo, the name of the award (Equity-centered Engineering), and a three thousand dollars amount.

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📢 New #DIS2023 paper: "Ludification as a Lens for Algorithmic Management: A Case Study of Gig-Workers' Experiences of Ambiguity in Instacart Work." A great cross-university collaboration led by @dramesh_ with @HenningCaitlin, @nelescher, @Haiyi_Zhu, @minlee_hci, @nikola_banovic.
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Congratulations to all PhD students recognized for improving diversity, equity, and inclusion at @UMichCSE, including Snehal Prabhudesai (@snehalbp) from @CompHCILab! cse.engin.umich.edu/stories/…

Five CSE graduate students recognized for improving diversity, equity, and inclusion at CSE

The award recognizes students who make significant contributions toward increasing diversity, equity, and inclusion in the division.

cse.engin.umich.edu
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Join us tomorrow (Wednesday) at 9AM in Room Y10 for @HossainTahera's #CHI2023 talk that shows how to conduct sample size determination when modeling human behavior using Inverse Reinforcement Learning (IRL). Session link: programs.sigchi.org/chi/2023…

Journals: Human Factors and AI - CHI '23

programs.sigchi.org
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CompHCI lab at #CHI2023 in one place taking a break after @im__jane presented her paper. Left to right: @RuiyiWang153, @im__jane, @nikola_banovic, and @HossainTahera.
Four people standing in front of the Congress Center Hamburg. "Welcome to CHI23" sign is in the background and above their heads.

ALT Four people standing in front of the Congress Center Hamburg. "Welcome to CHI23" sign is in the background and above their heads.

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Join us today for @im__jane's #CHI2023 talk that argues that companies can and should do better when designing privacy controls for Online Behavioral Advertising (OBA). The talk is part of the Social Media and Information session taking place in Room Y03+Y04 at 15:26.
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Representing CompHCI Lab at #CHI2023 from left to right @HossainTahera, @nikola_banovic, and @im__jane.
Three people taking a selfie while holding their CHI 2023 badges.

ALT Three people taking a selfie while holding their CHI 2023 badges.

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3/n Zhe Chen presented her work on modeling and forecasting fatiguability of people with Multiple Sclerosis (MS). Work in collaboration with @AntarAnindya and @nikola_banovic.
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2/n @ananya_kasi presented her work on #XAI mechanisms for detecting and countering untrustworthy AI. Work in collaboration with @tsedeniya_amare, @dramesh_, and @nikola_banovic.
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Congratulations to lab members @ananya_kasi and Zhe Chen who presented their undergraduate research posters at the Explore Computer Science Research (#ExploreCSR) event @UMichCSE! 1/n
Ananya Kasi stands in front of her poster showing her research and talks to Rada Mihalcea.

ALT Ananya Kasi stands in front of her poster showing her research and talks to Rada Mihalcea.

Zhe Che talks to Nikola Banovic in front of her poster showing Zhe's research.

ALT Zhe Che talks to Nikola Banovic in front of her poster showing Zhe's research.

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The paper is available on ACM DL (doi.org/10.1145/3581641.3584…)

Understanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI...

dl.acm.org
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📢 New #IMWUT paper by @AntarAnindya titled "Behavior Modeling Approach for Forecasting Physical Functioning of People with Multiple Sclerosis" is available on ACM DL (doi.org/10.1145/3580887). Work with Anna Kratz, and @nikola_banovic.
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If you are attending #IUI2023, checkout @snehalbp's talk on how lay decision-makers perceive and interpret uncertainty in Human-AI decision making (Session 5 at 1:30 PM GMT+11). Work with Leyao Yang, @sumit_ast , Xun Huan, @QVeraLiao, and @nikola_banovic.
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What a start to 2023 for the students in the lab: 4 accepted paper notifications (#CHI2023, #IUI2023, #IMWUT, #Frontiers) and one fellowship (not public, yet). More details to follow on each. And it is only mid-January!
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Congratulations to @dramesh_ on winning the #QuadFellowship!
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📢New #CSCW paper by @nikola_banovic and now former lab members @Scarecrow_Y, @adityarameshtw, @alicemliu: "Being Trustworthy is Not Enough: How Untrustworthy Artificial Intelligence (AI) Can Deceive the End-Users and Gain Their Trust."
Nikola Banovic@nikola_banovic28 Nov 2022
Super excited to share our #CSCW paper that shows that only focusing on creating #trustworthyAI is not enough. #AI that exaggerates its competence under the guise of transparency can trick end-users into relying on it over other trustworthy AI. Preprint: nikolabanovic.net/being_trus…
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"StructureSense: Inferring Constructive Assembly Structures from User Behaviors" uses Bayesian inference to detect what the user is building based their interaction with different parts of the structure. Led by now former lab members @Xincheng_Huang and Keylonnie Miller. #IMWUT
The user starts an assembly task wanting to building a wooden lamp. The parts are laid out on a table in front of the user. StructureSense tracks the structure and provides the next step instructions according to the user’s progress. The interface is mirrored to a tablet in the bottom-right corner and shows instructions for the first row of a multi tiered lamp.

ALT The user starts an assembly task wanting to building a wooden lamp. The parts are laid out on a table in front of the user. StructureSense tracks the structure and provides the next step instructions according to the user’s progress. The interface is mirrored to a tablet in the bottom-right corner and shows instructions for the first row of a multi tiered lamp.

An interface showing what happens when StructureSense detects that the user has made an error. In this example, the user has used the wrong (top) shelf instead of the correct (middle) shelf and is alerting the user about the error. The interface shows what StructureSense detected on the left and what the user should have constructed instead on the right.

ALT An interface showing what happens when StructureSense detects that the user has made an error. In this example, the user has used the wrong (top) shelf instead of the correct (middle) shelf and is alerting the user about the error. The interface shows what StructureSense detected on the left and what the user should have constructed instead on the right.

This image shows what happens after the user fixes the error from the previous step and proceeds with assembly. The image shows the user starting to build the next tier of the lamp by adding a wooden poll to it. The interface in the bottom corner shows the instructions for the current assembly step: adding four wooden polls to the current lamp tier.

ALT This image shows what happens after the user fixes the error from the previous step and proceeds with assembly. The image shows the user starting to build the next tier of the lamp by adding a wooden poll to it. The interface in the bottom corner shows the instructions for the current assembly step: adding four wooden polls to the current lamp tier.

The final structure showing fully assembled four-tier heigh wooden floor lamp.

ALT The final structure showing fully assembled four-tier heigh wooden floor lamp.

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See a recent @UMichCSE interview with our lab members (in order of appearance: @nikola_banovic, @sumit_ast, @AntarAnindya, and @snehalbp) about our work on #ExplainableAI (XAI) (more specifically how to achieve #XAI through human-AI interaction): youtu.be/tGicpp08r20
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