Violet Turri

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All published works

Action	Title	Year	Authors
+ PDF Chat	The Impact of Imperfect XAI on Human-AI Decision-Making	2024	Katelyn Morrison Philipp Spitzer Violet Turri Michelle Feng Niklas Kühl Adam Perer
+	The Impact of Imperfect XAI on Human-AI Decision-Making	2023	Katelyn Morrison Philipp Spitzer Violet Turri Michelle Feng Niklas Kühl Adam Perer
+	Measuring AI Systems Beyond Accuracy	2022	Violet Turri Rachel Dzombak Eric Heim Nathan VanHoudnos Jay Palat Anusha Sinha

Common Coauthors

Coauthor	Papers Together
Michelle Feng	2
Katelyn Morrison	2
Niklas Kühl	2
Philipp Spitzer	2
Adam Perer	2
Eric Heim	1
Rachel Dzombak	1
Nathan VanHoudnos	1
Anusha Sinha	1
Jay Palat	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	GitHub Copilot AI pair programmer: Asset or Liability?	2023	Arghavan Moradi Dakhel Vahid Majdinasab Amin Nikanjam Foutse Khomh Michel C. Desmarais Zhen Ming Jiang	2
+ PDF Chat	Teaching Categories to Human Learners with Visual Explanations	2018	Oisin Mac Aodha Shihan Su Yuxin Chen Pietro Perona Yisong Yue	2
+ PDF Chat	The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems	2020	Mahsan Nourani Joanie King Eric D. Ragan	2
+	Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative	2021	Ariel Levy Monica Agrawal Arvind Satyanarayan David Sontag	2
+ PDF Chat	Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance	2021	Gagan Bansal Tongshuang Wu Joyce Zhou Raymond Fok Besmira Nushi Ece Kamar Marco Túlio Ribeiro Daniel S. Weld	2
+ PDF Chat	Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval	2021	Frederik Warburg Martin Bak Jørgensen Javier Civera Søren Hauberg	2
+ PDF Chat	Trust in Prediction Models: a Mixed-Methods Pilot Study on the Impact of Domain Expertise	2021	Jeroen Ooge Katrien Verbert	2
+ PDF Chat	Perspectives in machine learning for wildlife conservation	2022	Devis Tuia Benjamin Kellenberger Sara Beery Blair R. Costelloe Silvia Zuffi Benjamin Risse Alexander Mathis Mackenzie Weygandt Mathis Frank van Langevelde Tilo Burghardt	2
+	Communicating the Limitations of AI: The Effect of Message Framing and Ownership on Trust in Artificial Intelligence	2022	Taenyun Kim Hayeon Song	2
+ PDF Chat	A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making	2022	Max Schemmer Patrick Hemmer Maximilian Nitsche Niklas Kühl Michael Vössing	2
+ PDF Chat	Role of Human-AI Interaction in Selective Prediction	2022	Elizabeth Bondi Raphaël Koster Hannah Sheahan Martin J. Chadwick Yoram Bachrach Ali Taylan Cemgil Ulrich Paquet Krishnamurthy Dvijotham	2
+ PDF Chat	Human-AI Collaboration in Data Science	2019	Dakuo Wang Justin D. Weisz Michael Müller Parikshit Ram Philipp Geyer Casey Dugan Yla Tausczik Horst Samulowitz Alexander Gray	2
+ PDF Chat	Improving Human-AI Collaboration With Descriptions of AI Behavior	2023	Ángel Alexander Cabrera Adam Perer Jason Hong	2
+	"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction	2023	Sunnie Kim Elizabeth Anne Watkins Olga Russakovsky Ruth Fong Andrés Monroy‐Hernández	2
+	Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations	2023	Max Schemmer Niklas Kuehl Carina Benz Andrea Bartos Gerhard Satzger	2
+ PDF Chat	Grounded Copilot: How Programmers Interact with Code-Generating Models	2023	Shraddha Barke Michael B. James Nadia Polikarpova	2
+	Applied Statistics: From Bivariate Through Multivariate Techniques	2007	Rebecca M. Warner	2
+	ML-Based Teaching Systems: A Conceptual Framework	2023	Philipp Spitzer Niklas Kühl Daniel Heinz Gerhard Satzger	2
+ PDF Chat	Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations	2023	Valerie Chen Q. Vera Liao Jennifer Wortman Vaughan Gagan Bansal	2
+	Finding and Fixing Spurious Patterns with Explanations	2021	Gregory Plumb Marco Túlio Ribeiro Ameet Talwalkar	1
+ PDF Chat	Explaining Classifications to Non-experts: An XAI User Study of Post-Hoc Explanations for a Classifier When People Lack Expertise	2023	Courtney Ford Mark T. Keane	1
+ PDF Chat	Explaining Chest X-Ray Pathologies in Natural Language	2022	Maxime Kayser Cornelius Emde Oana-Maria Camburu Guy Parsons Bartłomiej W. Papież Thomas Lukasiewicz	1
+	On the Influence of Cognitive Styles on Users' Understanding of Explanations	2022	Lara Riefle Patrick Hemmer Carina Benz Michael Vössing Jannik Pries	1
+	It Takes Two to Tango: Towards Theory of AI's Mind	2017	Arjun Chandrasekaran Deshraj Jain Prithvijit Chattopadhyay Viraj Prabhu Devi Parikh	1
+	Wildbook: Crowdsourcing, computer vision, and data science for conservation	2017	Tanya Berger‐Wolf Daniel I. Rubenstein Charles V. Stewart Jason Holmberg Jason Parham Sreejith Menon Jonathan Crall Jon Van Oast Emre Kıcıman Lucas Joppa	1
+ PDF Chat	How Novices Use LLM-based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment	2023	Majeed Kazemitabaar Xinying Hou Austin Z. Henley Barbara Ericson David Weintrop Tovi Grossman	1
+	How model accuracy and explanation fidelity influence user trust	2019	Andrea Papenmeier Gwenn Englebienne Christin Seifert	1
+	Visual correspondence-based explanations improve AI robustness and human-AI team accuracy	2022	Giang Nguyen Mohammad Reza Taesiri Anh‐Tu Nguyen	1
+	Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions	2023	M. Helena Vasconcelos Gagan Bansal Adam Fourney Q. Vera Liao Jennifer Wortman Vaughan	1
+	In search of verifiability: Explanations rarely enable complementary performance in AI‐advised decision making	2024	Raymond Fok Daniel S. Weld	1
+	The effectiveness of feature attribution methods and its correlation with automatic evaluation scores	2021	Giang V. Nguyen Daeyoung Kim Anh‐Tu Nguyen	1
+ PDF Chat	RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting	2021	Benjamin Hou Georgios Kaissis Ronald M. Summers Bernhard Kainz	1
+	Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice	2023	Max Schemmer Andrea Bartos Philipp Spitzer Patrick Hemmer Niklas Kühl Jonas Liebschner Gerhard Satzger	1
+	Are Large Language Models Post Hoc Explainers?	2023	Nicholas Kroeger Dan Ley Satyapriya Krishna Chirag Agarwal Himabindu Lakkaraju	1
+	Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models	2023	Osman Tursun Simon Denman Sridha Sridharan Clinton Fookes	1
+ PDF Chat	Closing the Loop: Testing ChatGPT to Generate Model Explanations to Improve Human Labelling of Sponsored Content on Social Media	2023	Thales Bertaglia Stefan Huber Cătălina Goanță Gerasimos Spanakis Adriana Iamnitchi	1
+	KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations	2023	Myeongjun Jang Bodhisattwa Prasad Majumder Julian McAuley Thomas Lukasiewicz Oana-Maria Camburu	1
+	On Improving Summarization Factual Consistency from Natural Language Feedback	2023	Yixin Liu Budhaditya Deb Milagro Teruel Aaron Halfaker Dragomir Radev Ahmed Hassan Awadallah	1
+	Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer	2022	Philipp Spitzer Niklas Kühl Marc Goutier	1
+	The effectiveness of feature attribution methods and its correlation with automatic evaluation scores	2021	Giang Nguyen Daeyoung Kim Anh‐Tu Nguyen	1
+	Human-Centered Explainable AI (XAI): From Algorithms to User Experiences	2021	Q. Vera Liao Kush R. Varshney	1