Journal Article10.1145/3563657.3596058
Creating Design Resources to Scaffold the Ideation of AI Concepts
Nur Yildirim,Chang Yoon Oh,Deniz Sayar,Violet Turri,Jodi Forlizzi,James McCann,John Zimmerman +6 more
- 10 Jul 2023
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TL;DR: In this paper , the authors developed a design resource capturing AI capabilities based on 40 AI features commonly used across various domains and incorporated capabilities into their own design process to brainstorm concepts with domain experts and data scientists.
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Abstract: Advances in artificial intelligence have enabled unprecedented technical capabilities, yet making these advances useful in the real world remains challenging. We engaged in a Research through Design process to improve the ideation of AI products and services. We developed a design resource capturing AI capabilities based on 40 AI features commonly used across various domains. To probe its usefulness, we created a set of slides illustrating AI capabilities and asked designers to ideate AI-enabled user experiences. We also incorporated capabilities into our own design process to brainstorm concepts with domain experts and data scientists. Our research revealed that designers should focus on innovations where moderate AI performance creates value. We reflect on our process and discuss research implications for creating and assessing resources to systematically explore AI’s problem-solution space.
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Citations
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology
Nur Yildirim,Hannah Richardson,M. Wetscherek,Junaid Bajwa,Joseph Jacob,Mark A. Pinnock,Stephen Harris,Daniel C. Castro,Shruthi Bannur,Stephanie L. Hyland,Pratik Ghosh,Mercy Prasanna Ranjit,Kenza Bouzid,Anton Schwaighofer,Fernando P'erez-Garc'ia,Harshita Sharma,Ozan Oktay,M. Lungren,Javier Alvarez-Valle,Aditya Nori,Anja Thieme +20 more
- 22 Feb 2024
TL;DR: This work engaged in an iterative, multidisciplinary design process to envision clinically relevant VLM interactions, and co-designed four VLM use concepts: Draft Report Generation, Augmented Report Review, Visual Search and Querying, and Patient Imaging History Highlights.
26
Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks
Hao-Ping Lee,Yu-Ju Yang,Thomas Serban Von Davier,Jodi Forlizzi,Sauvik Das +4 more
TL;DR: A taxonomy of AI privacy risks was constructed by analyzing 321 documented AI privacy incidents and codified how the unique capabilities and requirements of AI technologies described in those incidents generated new privacy risks, exacerbated known ones, or otherwise did not meaningfully alter the risk.
Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks
Hao-Ping Lee,Yu‐Ju Yang,Thomas Serban Von Davier,Jodi Forlizzi,Saumitra M. Das +4 more
- 11 May 2024
TL;DR: AI technologies introduce new privacy risks and exacerbate existing ones, altering the privacy risks of products and services. A taxonomy of AI privacy risks identifies 12 high-level risks arising from AI technologies.
14
Charting the Future of AI in Project-Based Learning: A Co-Design Exploration with Students
Chengbo Zheng,Kangyu Yuan,Bingcan Guo,Reza Hadi Mogavi,Zhenhui Peng,Shuai Ma,Xiaojuan Ma +6 more
TL;DR: A co-design study to explore the potential of students' AI usage data as a novel material for PBL assessment and found students with different attitudes toward AI exhibited distinct preferences in how to analyze and understand the use of AI.
13
Generative AI in User Experience Design and Research: How Do UX Practitioners, Teams, and Companies Use GenAI in Industry?
Macy Takaffoli,S. Li,Ville Mäkelä +2 more
- 01 Jul 2024
12
References
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
Joy Buolamwini,Timnit Gebru +1 more
- 21 Jan 2018
TL;DR: It is shown that the highest error involves images of dark-skinned women, while the most accurate result is for light-skinned men, in commercial API-based classifiers of gender from facial images, including IBM Watson Visual Recognition.
The Inmates are Running the Asylum
Alan Cooper
- 08 Mar 1999
TL;DR: By purposefully designing software-based products to be more human and forgiving, the authors can automatically make them more inclusive, more class- and color-blind, Alan Cooper writes.
2K
•Book
Sketching User Experiences: Getting the Design Right and the Right Design
Bill Buxton
- 11 Apr 2007
TL;DR: Sketching User Experiences as mentioned in this paper is a collection of sketches of user interfaces that are used in the design process of new products and services. But design as described here depends on different skillsets-each essential, but on their own, none sufficient.
1.7K
Showing Academic Performance Predictions during Term Planning: Effects on Students' Decisions, Behaviors, and Preferences
TL;DR: This article investigated the effects of showing grade predictions to students through an interactive visualization tool and found that in the presence of predictions, students may focus too much on maximizing their performance, to the detriment of other factors such as the workload.
Guidelines for Human-AI Interaction
Saleema Amershi,Daniel S. Weld,Mihaela Vorvoreanu,Adam Fourney,Besmira Nushi,Penny Collisson,Jina Suh,Shamsi T. Iqbal,Paul N. Bennett,Kori Inkpen,Jaime Teevan,Ruth Kikin-Gil,Eric Horvitz +12 more
- 02 May 2019
TL;DR: This work proposes 18 generally applicable design guidelines for human-AI interaction that can serve as a resource to practitioners working on the design of applications and features that harness AI technologies, and to researchers interested in the further development of human- AI interaction design principles.
1.3K