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Exploring Interaction with Remote Autonomous Systems using Conversational Agents

Published: 18 June 2019 Publication History

Abstract

Autonomous vehicles and robots are increasingly being deployed to remote, dangerous environments in the energy sector, search and rescue and the military. As a result, there is a need for humans to interact with these robots to monitor their tasks, such as inspecting and repairing offshore wind-turbines. Conversational Agents can improve situation awareness and transparency, while being a hands-free medium to communicate key information quickly and succinctly. As part of our user-centered design of such systems, we conducted an in-depth immersive qualitative study of twelve marine research scientists and engineers, interacting with a prototype Conversational Agent. Our results expose insights into the appropriate content and style for the natural language interaction and, from this study, we derive nine design recommendations to inform future Conversational Agent design for remote autonomous systems.

References

[1]
Rami Al-Rfou, Marc Pickett, Javier Snaider, Yun-hsuan Sung, Brian Strope, and Ray Kurzweil. 2016. Conversational Contextual Cues: The Case of Personalization and History for Response Ranking . arXiv preprint (2016), 10. http://arxiv.org/abs/1606.00372
[2]
Olesya Blazhenkova and Maria Kozhevnikov. 2009. The new object-spatial-verbal cognitive style model: Theory and measurement. Applied Cognitive Psychology 23, 5 (2009), 638--663.
[3]
Cynthia Breazeal, Nick DePalma, Jeff Orkin, Sonia Chernova, and Malte Jung. 2013. Crowdsourcing human-robot interaction: New methods and system evaluation in a public environment. Journal of Human-Robot Interaction 2, 1 (2013), 82--111.
[4]
Susan E Brennan. 1998. The vocabulary problem in spoken dialogue systems. Automated Spoken Dialog Systems, Luperfoy (Ed.). MIT Press, Cambridge, MA (1998).
[5]
Jessie Y. C. Chen and Michael J. Barnes. 2014. Human-agent teaming for multirobot control: A review of human factors issues. IEEE Transactions on Human-Machine Systems 44, 1 (2014), 13--29.
[6]
Jessie Y. C. Chen, Shan G. Lakhmani, Kimberly Stowers, Anthony R. Selkowitz, Julia L. Wright, and Michael Barnes. 2018. Situation awareness-based agent transparency and human-autonomy teaming effectiveness. Theoretical Issues in Ergonomics Science 19, 3 (2018), 259--282.
[7]
Juliet Corbin and Anselm Strauss. 2008. Basics of qualitative research: Techniques and procedures for developing grounded theory. Sage.
[8]
Alastair. Cormack, David M. Lane, and Jon Wood. 2010. Operational experiences for maritime homeland security operations. In Proceedings of OCEANS'10 IEEE SYDNEY. 1--7.
[9]
Amanda Cercas Curry, Helen Hastie, and Verena Rieser. 2017. A Review of Evaluation Techniques for Social Dialogue Systems. In Proceedings of the ICMI Workshop on Investigating Social Interactions with Artificial Agents.
[10]
Nina Dethlefs, Heriberto Cuayáhuitl, Helen Hastie, Verena Rieser, and Oliver Lemon. 2014. Getting to Know Users: Accounting for the Variability in User Ratings. In Proceedings of the Workshop on Semantics of Dialogue (SemDial), Edinburgh, UK.
[11]
Klaus-Peter Engelbrecht, Florian Gödde, Felix Hartard, Hamed Ketabdar, and Sebastian Möller. 2009. Modeling user satisfaction with Hidden Markov Model. In Proceedings of Special Interest Group on Discourse and Dialogue (SIGDIAL'09).
[12]
George Ferguson, James F Allen, and others. 1998. TRIPS: An integrated intelligent problem-solving assistant. In Proceedings of AAAI/IAAI. 567--572.
[13]
George Ferguson, James F Allen, Bradford W Miller, and others. 1996. TRAINS-95: Towards a Mixed-Initiative Planning Assistant. In Proceedings of AIPS. 70--77.
[14]
Francisco J. Chiyah Garcia, David A. Robb, Atanas Laskov, Xingkun Liu, Pedro Patron, and Helen Hastie. 2018. Explainable Autonomy: A Study of Explanation Styles for Building Clear Mental Models through a Multimodal Interface. In Proceedings of the International Conference on Natural Language Generation (INLG'18).
[15]
Michael A. Goodrich and Alan C. Schultz. 2007. Human-robot Interaction: A Survey. Found. Trends Hum.-Comput. Interact. 1, 3 (Jan. 2007), 203--275.
[16]
Shirley Gregor and Izak Benbasat. 1999. Explanations from Intelligent Systems: Theoretical Foundations and Implications for Practice. Management Information Systems Quarterly 23, 4 (Dec. 1999), 497--530.
[17]
H Paul Grice. 1975. Logic and conversation. Academic Press, New York, Book section 3: Speech acts, 41--58.
[18]
Joakim Gustafson, Linda Bell, Jonas Beskow, Johan Boye, Rolf Carlson, Jens Edlund, Björn Granström, David House, and Mats Wirén. 2000. AdApt-a multimodal conversational dialogue system in an apartment domain. In Proceedings of the Sixth International Conference on Spoken Language Processing.
[19]
Helen Hastie. 2012. Metrics and evaluation of spoken dialogue systems. In Data-Driven Methods for Adaptive Spoken Dialogue Systems. Springer New York, 131--150.
[20]
Helen Hastie, Francisco Javier Chiyah Garcia, David A. Robb, Pedro Patron, and Atanas Laskov. 2017a. MIRIAM: A Multimodal Chat-Based Interface for Autonomous Systems. In Proceedings of the 19th ACM International Conference on Multimodal Interaction, ICMI'17. ACM, 495--496.
[21]
Helen Hastie, Xingkun Liu, Pedro Patron, and Yvan Petillot. 2017b. Talking Autonomous Vehicles: Automatic AUV Mission Analysis in Natural Language. In Proceedings of OCEANS MTS/IEEE, Aberdeen, UK (2017).
[22]
Helen Hastie, Katrin Lohan, Mike J. Chantler, David A. Robb, Subramanian Ramamoorthy, Ron Petrick, Sethu Vijayakumar, and David Lane. 2018. The ORCA Hub: Explainable Offshore Robotics through Intelligent Interfaces. In Proceedings of the HRI Workshop on Explainable Robotic Systems, HRI'18.
[23]
Lyn Henderson, Michael Henderson, Scott Grant, and Hui Huang. 2010. What are users thinking in a virtual world lesson? Using stimulated recall interviews to report student cognition, and its triggers. Journal For Virtual Worlds Research 3, 1 (2010).
[24]
Ting-Hao Kenneth Huang, Joseph Chee Chang, and Jeffrey P Bigham. 2018. Evorus: A Crowd-powered Conversational Assistant Built to Automate Itself Over Time. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, 295.
[25]
Mohit Jain, Ramachandra Kota, Pratyush Kumar, and Shwetak N. Patel. 2018a. Convey: Exploring the Use of a Context View for Chatbots. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, 1--6.
[26]
Mohit Jain, Pratyush Kumar, Ramachandra Kota, and Shwetak N. Patel. 2018b. Evaluating and Informing the Design of Chatbots. In Proceedings of the 2018 Designing Interactive Systems Conference. ACM, 895--906.
[27]
Srinivasan Janarthanam and Oliver Lemon. 2014. Adaptive Generation in Dialogue Systems Using Dynamic User Modeling. Comput. Linguist. 40, 4 (Dec. 2014), 883--920.
[28]
Philip Nicholas Johnson-Laird. 1980. Mental models in cognitive science. Cognitive Science 4, 1 (1980), 71--115.
[29]
Filip Jurvc 'ivc ek, Blaise Thomson, and Steve Young. 2012. Reinforcement learning for parameter estimation in statistical spoken dialogue systems. Computer Speech & Language 26, 3 (2012), 168--192.
[30]
Todd Kulesza, Simone Stumpf, Margaret Burnett, Sherry Yang, Irwin Kwan, and Weng-Keen Wong. 2013. Too Much, Too Little, or Just Right? Ways Explanations Impact End Users' Mental Models. 2013 IEEE Symposium on Visual Languages and Human-Centric Computing (2013).
[31]
Y. S. Kwon and B. J. Yi. 2012. Design and motion planning of a two-module collaborative indoor pipeline inspection robot. IEEE Transactions on Robotics 28 (2012), 681--696.
[32]
David Lane, Keith Brown, Yvan Petillot, Emilio Miguelanez, and Pedro Patron. 2013. An Ontology-Based Approach to Fault Tolerant Mission Execution for Autonomous Platforms. Springer New York, 225--255.
[33]
Pierre Le Bras, David A. Robb, Thomas S. Methven, Stefano Padilla, and Mike J. Chantler. 2018. Improving User Confidence in Concept Maps: Exploring Data Driven Explanations. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, New York, 1--13.
[34]
Iolanda Leite, André Pereira, Allison Funkhouser, Boyang Li, and Jill Fain Lehman. 2016. Semi-situated Learning of Verbal and Nonverbal Content for Repeated Human-robot Interaction. In Proceedings of the 18th ACM International Conference on Multimodal Interaction (ICMI 2016). ACM, 13--20.
[35]
Oliver Lemon, Anne Bracy, Alexander Gruenstein, and Stanley Peters. 2001. The WITAS multi-modal dialogue system. In Proceedings of the Seventh European Conference on Speech Communication and Technology. 1559--1562.
[36]
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016. A Persona-Based Neural Conversation Model . arXiv preprint (2016), 10. http://arxiv.org/abs/1603.06155
[37]
Q. Vera Liao, Matthew Davis, Werner Geyer, Michael Muller, and N. Sadat Shami. 2016. What Can You Do?: Studying Social-Agent Orientation and Agent Proactive Interactions with an Agent for Employees. In Proceedings of the 2016 ACM Conference on Designing Interactive Systems. ACM, 264--275.
[38]
Brian Y. Lim, Anind K. Dey, and Daniel Avrahami. 2009. Why and why not explanations improve the intelligibility of context-aware intelligent systems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2119--2128.
[39]
Chia-Wei Liu, Ryan Lowe, Iulian V Serban, Michael Noseworthy, Laurent Charlin, and Joelle Pineau. 2016. How not to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation. arXiv preprint arXiv:1603.08023 (2016).
[40]
José Lopes, Maxine Eskenazi, and Isabel Trancoso. 2015. From rule-based to data-driven lexical entrainment models in spoken dialog systems. Computer Speech & Language 31, 1 (2015), 87--112.
[41]
José Lopes, Katrin Lohan, and Helen Hastie. 2018. Symptoms of Cognitive Load in Interactions with a Dialogue System. In ICMI'18 Workshop on Modeling Cognitive Processes from Multimodal Data.
[42]
Ewa Luger and Abigail Sellen. 2016. "Like Having a Really Bad PA": The Gulf between User Expectation and Experience of Conversational Agents. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 5286--5297.
[43]
Joseph E Mercado, Michael A Rupp, Jessie YC Chen, Michael J Barnes, Daniel Barber, and Katelyn Procci. 2016. Intelligent agent transparency in human-agent teaming for Multi-UxV management. Human Factors 58, 3 (2016), 401--415.
[44]
Emilio Miguelanez, Pedro Patron, Keith E Brown, Yvan R Petillot, and David M Lane. 2011. Semantic knowledge-based framework to improve the situation awareness of autonomous underwater vehicles. IEEE Transactions on Knowledge and Data Engineering 23, 5 (2011), 759--773.
[45]
Teruhisa Misu, Antoine Raux, Ian Lane, Joan Devassy, and Rakesh Gupta. 2013. Situated Multi-modal Dialog System in Vehicles. In Proceedings of the 6th Workshop on Eye Gaze in Intelligent Human Machine Interaction: Gaze in Multimodal Interaction (GazeIn '13). ACM, New York, NY, USA, 25--28.
[46]
E.T. Mueller. 2016. Transparent Computers: Designing Understandable Intelligent Systems. CreateSpace Independent Publishing Platform. https://books.google.co.uk/books?id=NhFRjwEACAAJ
[47]
Keiji Nagatani, Seiga Kiribayashi, Yoshito Okada, Kazuki Otake, Kazuya Yoshida, Satoshi Tadokoro, Takeshi Nishimura, Tomoaki Yoshida, Eiji Koyanagi, and Mineo Fukushima. 2013. Emergency response to the nuclear accident at the Fukushima Daiichi Nuclear Power Plants using mobile rescue robots. Journal of Field Robotics 30 (2013), 44--63.
[48]
Don Norman. 2013. The design of everyday things: Revised and expanded edition. Constellation.
[49]
Florian Nothdurft, Felix Richter, and Wolfgang Minker. 2014. Probabilistic human-computer trust handling. In Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL). 51--59.
[50]
Sharon Oviatt and Philip Cohen. 2000. Perceptual user interfaces: multimodal interfaces that process what comes naturally. Communications of the ACM 43, 3 (2000), 45--53.
[51]
Stefano Padilla, Thomas S. Methven, David A. Robb, and Mike J. Chantler. 2017. Understanding Concept Maps: A Closer Look at How People Organise Ideas. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 815--827.
[52]
Ioannis Papaioannou, Amanda Cercas Curry, Jose L Part, Igor Shalyminov, Xinnuo Xu, Yanchao Yu, Ondrej Duvs ek, Verena Rieser, and Oliver Lemon. 2017. Alana: Social dialogue using an ensemble model and a ranker trained on user feedback. Alexa Prize Proceedings (2017).
[53]
Yvan Petillot, Chris Sotzing, Pedro Patron, David Lane, and Joel Cartright. 2009. Multiple system collaborative planning and sensing for autonomous platforms with shared and distributed situational awareness. In Proceedings of the AUVSI's Unmanned Systems Europe, La Spezia, Italy.
[54]
Patti J Price. 1990. Evaluation of spoken language systems: The ATIS domain. In Speech and Natural Language: Proceedings of a Workshop Held at Hidden Valley, Pennsylvania, June 24--27, 1990.
[55]
Antoine Raux, Brian Langner, Dan Bohus, Alan W Black, and Maxine Eskenazi. 2005. Let's Go Public! Taking a spoken dialog system to the real world. In Ninth European Conference on Speech Communication and Technology.
[56]
Ehud Reiter and Robert Dale. 2000. Building Natural Lang Generation Systems (Studies in Natural Language Processing). Cambridge University Press.
[57]
Verena Rieser and Oliver Lemon. 2008. Automatic Learning and Evaluation of User-Centered Objective Functions for Dialogue System Optimisation. In Proceedings of the International Conference on Language Resources and Evaluation (LREC'08).
[58]
Alan Ritter, Colin Cherry, and William B Dolan. 2011. Data-driven response generation in social media. In Proceedings of EMNLP. Association for Computational Linguistics, 583--593.
[59]
David A. Robb, Francisco J. Chiyah Garcia, Atanas Laskov, Xingkun Liu, Pedro Patron, and Helen Hastie. 2018. Keep Me in the Loop: Increasing Operator Situation Awareness through a Conversational Multimodal Interface. In Proceedings of the 20th ACM International Conference on Multimodal Interaction. ACM.
[60]
David A. Robb, Stefano Padilla, Britta Kalkreuter, and Mike J. Chantler. 2015. Crowdsourced Feedback With Imagery Rather Than Text: Would Designers Use It?. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, New York, 1355--1364.
[61]
Stephanie Seneff and Joseph Polifroni. 1996. A new restaurant guide conversational system: Issues in rapid prototyping for specialized domains. In Proceedings of the Fourth International Conference on Spoken Language, ICSLP 96, Vol. 2. IEEE, 665--668.
[62]
Stephanie Seneff and Joseph Polifroni. 2000. Dialogue management in the Mercury flight reservation system. In Proceedings of the 2000 ANLP/NAACL Workshop on Conversational systems-Volume 3. Association for Computational Linguistics, 11--16.
[63]
Amit Shukla and Hamad Karki. 2016. Application of robotics in onshore oil and gas industry-A review Part I. Robotics and Autonomous Systems 75 (2016), 490--507.
[64]
David Silverman. 2010. Doing qualitative research: A practical handbook (third ed.). SAGE Publications Limited.
[65]
Anselm L Strauss. 1987. Qualitative analysis for social scientists. Cambridge University Press.
[66]
Kristen Stubbs, Pamela J Hinds, and David Wettergreen. 2007. Autonomy and common ground in human-robot interaction: A field study. IEEE Intelligent Systems 22, 2 (2007).
[67]
Marc Swerts, Diane Litman, and Julia Hirschberg. 2000. Corrections in spoken dialogue systems. In Proceedings of the Sixth International Conference on Spoken Language Processing.
[68]
Ella Tallyn, Hector Fried, Rory Gianni, Amy Isard, and Chris Speed. 2018. The Ethnobot: Gathering Ethnographies in the Age of IoT. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, Article 604, 13 pages.
[69]
The Institute of Engineering and Technology. 2015. Engineering and Technology Skills and demand in industry 2015 survey. Overview of issues and trends from 2015 survey. Technical Report. https://www.theiet.org/factfiles/education/skills2015-page.cfm Accessed on 6th Aug.2018.
[70]
Andreas Theodorou, Robert H Wortham, and Joanna J Bryson. 2016. Why is my robot behaving like that? Designing transparency for real time inspection of autonomous robots. In Proceedings of AISB Workshop on Principles of Robotics. University of Bath.
[71]
James Trevelyan, William R. Hamel, and Sung-Chul Kang. 2016. Robotics in Hazardous Applications. In Springer Handbook of Robotics, Springer International Publishing, Chapter 58, 1521--1548.
[72]
Oriol Vinyals and Quoc V. Le. 2015. A Neural Conversational Model. CoRR abs/1506.05869 (2015). http://arxiv.org/abs/1506.05869
[73]
Marilyn A. Walker, Diane J. Litman, Candace A. Kamm, and Alicia Abella. 1997. PARADISE: a framework for evaluating spoken dialogue agents. In Proceedings of the Association for Computational Linguistics (ACL'97). 271--280.
[74]
Marilyn A. Walker, Alex Rudnicky, Rashmi Prasad, John Aberdeen, Elizabeth Owen Bratt, John Garofolo, Helen Hastie, Audrey Le, Bryan Pellom, Alex Potamianos, Rebecca Passonneau, Salim Roukos, Greg S, Stephanie Seneff, and Dave Stallard. 2002. DARPA Communicator: Cross-System Results for the 2001 Evaluation. In Proceedings of the International Conference on Spoken Language Processing (ICSLP'02). 269--272.
[75]
Marilyn A Walker, Stephen J Whittaker, Amanda Stent, Preetam Maloor, Johanna Moore, Michael Johnston, and Gunaranjan Vasireddy. 2004. Generation and evaluation of user tailored responses in multimodal dialogue. Cognitive Science 28, 5 (2004), 811--840.
[76]
Zhuoran Wang and Helen Hastie. 2015. A prototype for AUV post-mission debrief generation from metadata. In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (AAMAS'15). International Foundation for Autonomous Agents and Multiagent Systems, 1959--1960.
[77]
Joseph Weizenbaum. 1966. ELIZA-a computer program for the study of natural language communication between man and machine. Communications of the ACM 9, 1 (1966), 36--45.
[78]
Jason D Williams and Steve Young. 2007. Partially observable Markov decision processes for spoken dialog systems. Computer Speech & Language 21, 2 (2007), 393--422.
[79]
C. Wong, E. Yang, X. T. Yan, and D. Gu. 2017. An overview of robotics and autonomous systems for harsh environments. In Proceedings of the 2017 23rd International Conference on Automation and Computing (ICAC). 1--6.
[80]
Robert H. Wortham, Andreas Theodorou, and Joanna J Bryson. 2017. Robot transparency: Improving understanding of intelligent behaviour for designers and users. Springer, 274--289.
[81]
Robert H. Wortham and Andreas Theodorou. 2017. Robot transparency, trust and utility . Connection Science 29, 3 (2017), 242--248.
[82]
Helen Wright-Hastie, Rashmi Prasad, and Marilyn Walker. 2002. What's the Trouble: Automatically Identifying Problematic Dialogues in DARPA communicator dialogue systems. In Proceedings of ACL. ACL, 384--391.
[83]
Victor Zue, Stephanie Seneff, James R Glass, Joseph Polifroni, Christine Pao, Timothy J Hazen, and Lee Hetherington. 2000. JUPlTER: a telephone-based conversational interface for weather information. IEEE Transactions on Speech and Audio Processing 8, 1 (2000), 85--96.

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cover image ACM Conferences
DIS '19: Proceedings of the 2019 on Designing Interactive Systems Conference
June 2019
1628 pages
ISBN:9781450358507
DOI:10.1145/3322276
This work is licensed under a Creative Commons Attribution-ShareAlike International 4.0 License.

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Published: 18 June 2019

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Author Tags

  1. explainable ai
  2. multimodal interfaces
  3. natural language interfaces
  4. remote autonomous systems
  5. transparency
  6. trust

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DIS '19: Designing Interactive Systems Conference 2019
June 23 - 28, 2019
CA, San Diego, USA

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