Discover and read the best of Twitter Threads about #chi2021
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Looking forward to the keynote by @khornbaek “Implications for theory” at #NordiCHI2022
Reminds me of my PhD, which I had the pleasure to defend with Kasper in the jury in 2015.
Reminds me of my PhD, which I had the pleasure to defend with Kasper in the jury in 2015.
@khornbaek’s keynote argument:
1. HCI engages in too limited ways with theory
2. This has negative consequences for our field
3. We can do something about it
Let’s do more impactful research, by paying more attention to theory. #NordiCHI2022 @NordiCHI2022
1. HCI engages in too limited ways with theory
2. This has negative consequences for our field
3. We can do something about it
Let’s do more impactful research, by paying more attention to theory. #NordiCHI2022 @NordiCHI2022
What is theory anyway?
“Scientifically acceptable general principle or body of principles offered to explain phenomena” (merriam-Webster)
A tool that we construct to help make sense of the world.
@khornbaek keynote at #NordiCHI2022 @NordiCHI2022
“Scientifically acceptable general principle or body of principles offered to explain phenomena” (merriam-Webster)
A tool that we construct to help make sense of the world.
@khornbaek keynote at #NordiCHI2022 @NordiCHI2022
Not exactly a #CHI2021 paper, but our arxiv preprint for Lux is out! arxiv.org/pdf/2105.00121…
⬇️Thread of highlights
⬇️Thread of highlights
We introduce a new framework describing different modalities for interacting with dataframes, via
1) directly through the dataframe API,
2) attach a high-level intent,
3) user-defined action, or
4) specified views.
1) directly through the dataframe API,
2) attach a high-level intent,
3) user-defined action, or
4) specified views.
We develop novel dataframe-based recommendations that visualize not only dataframes, but also other data structures (e.g., Index and Series).
What can we draw from human-human interactions to design more natural human-AI interactions? With many AI agents deployed in online communities, what does the community think of the agent? Can language reflect those perceptions?
A🧵about our CHI 2021 paper #CHI2021 (1/n, n=16)
A🧵about our CHI 2021 paper #CHI2021 (1/n, n=16)
(2/n) In human-human interactions, we are able to constantly monitor how we are perceived by other people through behavioral and verbal cues. Based on that understanding, we can adjust our behaviors accordingly to align others' perceptions about us closer to our self-presentation
(3/n)Some researchers have suggested that this ability is based on a uniquely human characteristic called "Theory of Mind (ToM)." ToM enables us to make conjectures about each others' minds through behavioral cues.
How can adaptive interfaces and #HCI benefit from #AI and reinforcement learning?
🧵 A thread on our #CHI2021 paper w. @gilles_bailly @luileito @oulasvirta
🌐 Project page: userinterfaces.aalto.fi/adaptive
🎥 Watch the video:
👇👇 @AaltoResearch @sig_chi @sigchi
🧵 A thread on our #CHI2021 paper w. @gilles_bailly @luileito @oulasvirta
🌐 Project page: userinterfaces.aalto.fi/adaptive
🎥 Watch the video:
👇👇 @AaltoResearch @sig_chi @sigchi
The secret sauce is to make decisions via #planning 🧠 Remember how AlphaGo by @DeepMind could plan moves and consistently win at Go? Turns out you can use similar #RL methods for HCI applications too📱💻
One such promising case is where UIs #adapt automatically to users 🔄 But what does a "win" even mean here? How could the system tell whether the decisions it is making are actually good?🤔
We’re excited to present our paper “The public life of data: Investigating Reactions to Visualizations on Reddit” at #CHI2021 with @nrchtct @arranarranarran @benjbach: arxiv.org/abs/2103.08525
Data visualizations are often framed as one-way roads: They communicate data to an audience, with limited support for people’s reactions. To better understand how people respond to visualizations we analysed comments on reddit’s /r/dataisbeautiful
Among already known responses (e.g. observations, hypotheses), we gained a better understanding of a broad range of reaction types. These include contestations of data; critique and improvement suggestions; and personal opinions or even anecdotal testimonies.
Thread summary of new paper (at #CHI2021): "Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation" w/ Nitin Agrawal, @emax, Kim Laine & @Nigel_Shadbolt arxiv.org/abs/2101.08048
New techniques for 'privacy-preserving computation'(PPC) (inc. homomorphic encryption, secure multi-party computation, differential privacy) present novel questions for HCI, from usability and mental models, to the values they embed/elide, & their social + political implications
We interviewed experts working on PPC, from academia, industry, law & policy, and design, and identified challenges in moving from theory to practice, interdisciplinarity translation, developer usability, explanation, governance and accountability
Factors leading to harm & disaster:
- treating simplified models ("abridged maps") as reality
- unscientific optimism of how comprehensive planning will improve life
- authoritarian state
- weakened civil society
@_alialkhatib arguing how "Seeing Like a State" explains AI harms
- treating simplified models ("abridged maps") as reality
- unscientific optimism of how comprehensive planning will improve life
- authoritarian state
- weakened civil society
@_alialkhatib arguing how "Seeing Like a State" explains AI harms
People are obliged to find ways to conform to the patterns found & generated by machine learning algorithms, whether someone fits into their world or not.
These quotes are from @_alialkhatib #CHI2021 paper "To Live in Their Utopia: Why Algorithmic Systems Create Absurd Outcomes"
ali-alkhatib.com/papers/chi/uto…
ali-alkhatib.com/papers/chi/uto…
hi friends! sorry for flaking a bit
if you'd like to read my #CHI2021 paper "To Live in Their Utopia: Why Algorithmic Systems Create Absurd Outcomes", you can download a preprint and take a read here al2.in/papers/chi/uto…
some more stuff in the next tweet
if you'd like to read my #CHI2021 paper "To Live in Their Utopia: Why Algorithmic Systems Create Absurd Outcomes", you can download a preprint and take a read here al2.in/papers/chi/uto…
some more stuff in the next tweet
for lots of reasons i couldn't get into a few areas in this CHI paper, but there were a few threads i wished i had been able to unpack more, and entire directions of research that i totally couldn't fit into this, so i wrote about all that here: ali-alkhatib.com/blog/utopia-an…
lol unpacking threads. what am i talking about 🥴🙃
In a new paper, @jonathanmayer, Mihir Kshirsagar, and I investigate a question that has been challenging researchers and policymakers: what makes a dark pattern, well, "dark"? arxiv.org/pdf/2101.04843… [thread]
There's a growing academic literature on dark patterns that defines and describes types of dark patterns. There have also been govt. reports and legislation on dark patterns. We compiled and compared these, and found that dark patterns reflect many related but distinct concerns!
We argue that there is no single definition that can capture all of the dark patterns discourse. Instead, dark patterns are a family of related problems, much like (as @DanielSolove famously observed) privacy is a family of related problems.
1/4 We @HCIBremen @UniBremen also want to spread the joy 🥳that we have some papers conditionally accepted at @sigchi @Chi2021Yokohama with help and input from many colleagues around the globe🌏
2/4 What is more important than sharing #numbers, is that we have the opportunity to #share our #research with a large and vibrant community (even so just virtually)🌏
3/4 In the past, our @sig_chi papers 📰 had some impact and inspired technologies & society, whereas others are still a sleeping beauty 🌹(and may sleep for another 100+ years).
