added new paper

Author: Utkarshdevd

_bibliography/papers.bib

@@ -1,5 +1,33 @@
 ---
 ---
+
+@inproceedings{dwivedi2024exploring,
+  selected = true,
+  title={Exploring AI Problem Formulation with Children via Teachable Machines},
+  img={/assets/img/storyboarding-singlecol.png},
+  author={Dwivedi, Utkarsh and Elsayed-Ali, Salma and Bonsignore, Elizabeth and Kacorri, Hernisa},
+  url = {https://arxiv.org/abs/2402.18688},
+  pdf = {https://arxiv.org/abs/2402.18688},
+  abstract = {Emphasizing problem formulation in AI literacy activities with children is vital, 
+  yet we lack empirical studies on their structure and affordances. We propose that participatory design 
+  involving teachable machines facilitates problem formulation activities. To test this, we integrated 
+  problem reduction heuristics into storyboarding and invited a university-based intergenerational design 
+  team of 10 children (ages 8-13) and 9 adults to co-design a teachable machine. We find that children 
+  draw from personal experiences when formulating AI problems; they assume voice and video capabilities, 
+  explore diverse machine learning approaches, and plan for error handling. Their ideas promote human 
+  involvement in AI, though some are drawn to more autonomous systems. Their designs prioritize values 
+  like capability, logic, helpfulness, responsibility, and obedience, and a preference for a comfortable 
+  life, family security, inner harmony, and excitement as end-states. We conclude by discussing how these 
+  results can inform the design of future participatory AI activities.},
+  publisher = {Association for Computing Machinery},
+  address = {New York, NY, USA},
+  booktitle = {Proceedings of the 2024 CHI conference on Human Factors in Computing Systems},
+  pages = {79–80},
+  numpages = {2},
+  location = {Hawaii, USA},
+  year={2024}
+}
+
 @inproceedings{exploringmt,
 selected = true,
 img={/assets/img/ipaper2.png},
@@ -20,7 +48,6 @@ @inproceedings{exploringmt
 booktitle = {Proceedings of the 2021 IEEE Symposium on Visual Languages and Human-Centric Computing},
 pages = {79–80},
 numpages = {2},
-keywords = {latent dirichlet allocation, environmental compliance, text mining},
 location = {London, United Kingdom},
 series = {VLHCC '21}
 }
@@ -42,7 +69,6 @@ @inproceedings{sharingdata
 booktitle = {Proceedings of the 2021 International ACM SIGACCESS Conference on Computers and Accessibility},
 pages = {79–80},
 numpages = {2},
-keywords = {latent dirichlet allocation, environmental compliance, text mining},
 location = {London, United Kingdom},
 series = {ASSETS '21}
 }

_news/chi24.md

@@ -4,4 +4,4 @@ date: 2024-01-19 15:59:00-0400
 inline: true
 img: /assets/img/chi24.png
 ---
-Our full paper on  Exploring AI Problem Formulation with Children via Teachable Machines was conditionally accepted in CHI 2024!
+Our full paper on [Exploring AI Problem Formulation with Children via Teachable Machines](https://arxiv.org/pdf/2402.18688v1.pdf)  was accepted in CHI 2024!