Start Making Sense
Cognitive and Affective Confidence Measures for Explanation Generation
using Epistemic Planning
EPSRC /
Human-Like Computing /
Grant No. EP/R031045/1
2018-2020
The Start Making Sense project addresses the need for dynamic trust
maintenance in interactive and autonomous systems by bringing together
experimental research in cognitive science involving cooperative joint
action with the practical construction of AI planning tools to apply to the
task of explanation generation. This challenge is addressed through these
concrete objectives: (1) to study cooperative joint action in humans to
identify the affective or cognitive factors that are essential for
successful human communicative goals, (2) to enhance epistemic planning
techniques with heuristics derived from the cognitive science studies, and
(3) to deploy the resulting system to generate human-like explanations and
evaluate the effectiveness of the resulting approach with human
participants.
People
Ron Petrick (PI, Heriot-Watt University)
Robin Hill (Co-I, University of Edinburgh)
Sara Dalzel-Job (RA, University of Edinburgh)
Bart Craenen (RA, Heriot-Watt University)
Alan Lindsay (RA, Heriot-Watt University)
Project publications
-
S. Dalzel-Job,
R. Hill, and
R. Petrick.
Start Making Sense: Identifying Behavioural
Indicators When Things Go Wrong During Interaction with Artificial
Agents.
International Conference on
Principles and Practice of Multi-Agent Systems (PRIMA),
582-591,
doi:10.1007/978-3-031-21203-1_36,
2022.
-
A. Lindsay and R. Petrick.
Supporting Explanations Within an Instruction Giving Framework.
ICAPS 2021
Workshop on Explainable AI Planning (XAIP),
2021.
-
A. Lindsay,
B. Craenen, and
R. Petrick.
Within Task Preference Elicitation in Net Benefit Planning.
ICAPS 2021
Workshop
on Knowledge Engineering for Planning and Scheduling (KEPS),
2021.
-
A. Lindsay,
B. Craenen,
S. Dalzel-Job,
R.L. Hill, and
R. Petrick.
Investigating Human Response, Behaviour, and Preference in Joint-Task Interaction.
UK Planning and Scheduling Special Interest Group (UK PlanSIG),
2020.
-
A. Lindsay,
B. Craenen,
S. Dalzel-Job,
R.L. Hill, and
R. Petrick.
Investigating Human Response, Behaviour, and Preference in Joint-Task Interaction.
ICAPS 2020
Workshop on Explainable AI Planning (XAIP),
doi:10.48550/arXiv.2011.14016,
2020.
-
A. Lindsay,
B. Craenen,
S. Dalzel-Job,
R.L. Hill, and
R. Petrick.
Supporting an Online Investigation of User Interaction with an XAIP Agent.
ICAPS 2020
Workshop on Knowledge Engineering for Planning and
Scheduling (KEPS),
2020.
-
S. Dalzel-Job,
R.L. Hill, and
R. Petrick.
Start Making Sense: Predicting confidence in
virtual human interactions using biometric signals.
Proceedings of
Measuring Behavior 2020-21: 12th International Conference on
Methods and Techniques in Behavioral Research and 6th Seminar on
Behavioral Methods,
1:72-75,
2020.
-
S. Dalzel-Job.
Start Making Sense: How to Design Likeable, Trustworthy and Helpful Virtual Humans.
Poster at
Beyond Conference,
2019.
-
R. Petrick and
R.L. Hill.
Start Making Sense: Cognitive and Affective
Confidence Measures for Explanation Generation using Epistemic
Planning.
AAAI 2019
Spring Symposium on Story-Enabled Intelligence,
2019.
-
R. Petrick,
S. Dalzel-Job, and
R.L. Hill.
Combining Cognitive and Affective Measures with
Epistemic Planning for Explanation Generation.
Proceedings of the ICAPS 2019
Workshop on Explainable Planning (XAIP),
141-145,
2019.
For more information about the Start Making Sense project, please
contact Ron Petrick.