Accounting for system behavior: representation, reflection, and resourceful action
By Paul Dourish. 1997
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Shane T. Mueller
- Robert R. Hoffman
- Gary Klein
- Reuben Binns
- Anind K. Dey
- Brian Y. Lim
- Abigail Emrey
- William J. Clancey
Citations in the corpus
- Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, background): “use. Hoffman, Mueller and Litman (2018) provide a review on this topic. Various forms on intelligent systems are trusted more if their recommendations are explained. (See also Antifakos et al., 2005; Dourish, 1995; Suermondt and Cooper, 1992; Tullio et al., 2007). Causal Reasoning and Abductive Infe”
- 'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions (2018, background): “The ability to provide information about how a system derives its predictions or classifications has long been recognised in the AI, expert systems, and HCI communities [8, 50, 16].”
- The Appropriation of Interactive Technologies: Some Lessons from Placeless Documents (2003, background): “Harrison and Dourish (1996) use the term to explore the different adoption patterns of two superficially similar applications of video technology, as part of a larger exploration of the relative roles of “place” and “space” in collaborative settings; while Orlikowski’s studies of the adoption patter”
- What we talk about when we talk about context (2004, background): “Looking again at the issue of practice, the goal is to allow the system to reveal a richer picture of activities, and so provide users with a more nuanced interpretation of the meaning of the systemÕs action (Dourish 1995).”
- Intelligibility and Accountability: Human Considerations in Context-Aware Systems (2001, background): “Context aware systems must be intelligible as to their states, “beliefs” and “initiatives” if users are to be able to govern their behavior successfully (Dourish, 1997).”
- How it works: a field study of non-technical users interacting with an intelligent system (2007, background): “Along these lines, Dourish observed that the way a system presents its own state of operation has a strong influence on the way users perceive how their tasks on that system are being accomplished [7].”
- Prototyping tools and techniques (2002, background): “11 shows a set of animation movies created by Dave Curbow to explore the notion of accountability in computer systems (Dourish, 1997).”