Shifting viewpoints: Artificial intelligence and human-computer interaction

By Terry Winograd. 2006

116 citations recorded by the source corpus.

Subfields: Safety Research, Sociology and Political Science, Human-Computer Interaction

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Safety Research

1. Wei Xu
2. Marvin J. Dainoff
3. Zaifeng Gao
4. Zachary Kenton
5. Jenna Burrell
6. Liezhong Ge
7. Jack Stilgoe
8. Corinne Cath

In Sociology and Political Science

1. Wei Xu
2. Marvin J. Dainoff
3. Zaifeng Gao
4. Bongwon Suh
5. Aurelia Guy
6. Jenna Burrell
7. Liezhong Ge
8. Corinne Cath

In Human-Computer Interaction

1. Stephen Clark
2. Wei Xu
3. Marvin J. Dainoff
4. Zaifeng Gao
5. Jenna Burrell
6. Liezhong Ge

Citations in the corpus

• Imitating Interactive Intelligence (2020, background): “Winograd envisioned computers that are not “tyrants,” but rather machines that understand and assist us interactively, and it is this view that ultimately led him to advocate convergence between artificial intelligence and human-computer interaction (Winograd, 2006).”
• How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016, background): “It is sometimes referred to, with more than a bit of nostalgia, as Good Old Fashioned AI (GOFAI) (Winograd, 2006) and it entailed the symbolic representation of knowledge in a way that is strictly formalized.”
• Transitioning to Human Interaction with AI Systems: New Challenges and Opportunities for HCI Professionals to Enable Human-Centered AI (2021, background): “…n - c o n t r o ll e d A I (Auernhammer, 2020), participatory design (Neuhauser & Kreps, 2011), inclusive design (Spencer et al., 2018), interaction design (Winograd, 2006), human-centered computing (Brezillon, 2003; Ford et al., 2015; Hoffman et al., 2004), and social responsibility (Riedl, 2019).”
• I Lead, You Help but Only with Enough Details: Understanding User Experience of Co-Creation with Artificial Intelligence (2018, background): “As users and AI are now interacting in these novel ways, understanding the user experience with these intelligent interfaces has become a critical issue in the human–computer interaction community [11, 25, 44, 56].”
• Six Human-Centered Artificial Intelligence Grand Challenges (2023, unknown): “…concept, yet generally maintain a ration-alistic perspective to the design, most HCAI definitions see the design of AI systems from a humanistic perspective where “ enlightened trial and error ” (Winograd, 2006) is the preferred way to address the complexities of real-world problems.”