Verbalization: Narration of Autonomous Robot Experience

By Stephanie Rosenthal, Sai P. Selvaraj, Manuela M. Veloso. 2016

112 citations recorded by the source corpus.

Subfields: Natural Language Processing, Robotics & Control

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Citations in the corpus

Explaining Explanations: An Overview of Interpretability of Machine Learning (2018, background): “At the intersection of human robot interaction and story-telling is verbalization; generating explanations for human-robot interaction [82].”
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, background): “…as the main thesis of a paper or as preliminary or synthesized discussion (Byrne, 1991; Felton, 2017; Kass and Leake, 1987; Kulesza et al., 2015; Rosenthal et al., 2016; Sørmo, Cassens, and Aamodt, 2005; Swartout and Moore, 1983; Van Der Linden, 2002; Wallis and Shortliffe, 1981; Wick and…”
Explain Yourself: A Natural Language Interface for Scrutable Autonomous Robots (2018, background): “In previous work, explanations have been categorised as either explaining 1) machine learning as in [11] who showed that they can increase trust; 2) explaining plans [2, 13]; 3) verbalising robot [12] or agent rationalisation [3].”
Explainable Planning (2017, background): “They contribute with verbalization, where the robot experience is described via natural language [Rosenthal et al., 2016].”
Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda (2018, background): “Some recent developments include generating verbalization explanations for human-robot interaction [149] and interactive visualizations for iML models for data scientists [99].”
Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning (2018, background): “At the intersection of human robot interaction and story-telling is verbalization; generating explanations for human-robot interaction [82].”
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems (2018, background): “lanations are popular in applications like question-answering explanations and decision lists [113]. This form of explanation has also been implemented in recommendation systems [17, 77] and robotics [176]. Explainable interfaces commonly make use of multiple modalities (e.g., visual, verbal, and nu”
Explainable Autonomy: A Study of Explanation Styles for Building Clear Mental Models (2018, background): “, 2017); and 3) verbalising robot (Rosenthal et al., 2016) or agent (Harrison et al.”
Explainable AI for Designers: A Human-Centered Perspective on Mixed-Initiative Co-Creation (2018, unknown): “behavior through verbalization [12], [14].”