References

  1. Davide Ancona, Daniela Briola, Angelo Ferrando & Viviana Mascardi (2015): Global Protocols as First Class Entities for Self-Adaptive Agents. In: Gerhard Weiss, Pinar Yolum, Rafael H. Bordini & Edith Elkind: Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015, Istanbul, Turkey, May 4-8, 2015. ACM, pp. 1019–1029. Available at http://dl.acm.org/citation.cfm?id=2773282.
  2. Davide Ancona, Angelo Ferrando & Viviana Mascardi (2016): Comparing Trace Expressions and Linear Temporal Logic for Runtime Verification. In: Erika Ábrahám, Marcello M. Bonsangue & Einar Broch Johnsen: Theory and Practice of Formal Methods - Essays Dedicated to Frank de Boer on the Occasion of His 60th Birthday, Lecture Notes in Computer Science 9660. Springer, pp. 47–64, doi:10.1007/978-3-319-30734-3_6.
  3. Davide Ancona, Angelo Ferrando & Viviana Mascardi (2017): Parametric Runtime Verification of Multiagent Systems. In: Kate Larson, Michael Winikoff, Sanmay Das & Edmund H. Durfee: Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2017, São Paulo, Brazil, May 8-12, 2017. ACM, pp. 1457–1459. Available at http://dl.acm.org/citation.cfm?id=3091328.
  4. David A. Basin, Felix Klaedtke, Samuel Müller & Birgit Pfitzmann (2008): Runtime Monitoring of Metric First-order Temporal Properties. In: Proceedings of 28th IARCS Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS'08), pp. 49–60, doi:10.4230/LIPIcs.FSTTCS.2008.1740.
  5. Chiara Bassano, Fabio Solari & Manuela Chessa (2018): Studying Natural Human-computer Interaction in Immersive Virtual Reality: A Comparison between Actions in the Peripersonal and in the Near-action Space. In: Paul Richard, Manuela Chessa & José Braz: Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 2: HUCAPP, Funchal, Madeira, Portugal, January 27-29, 2018. SciTePress, pp. 108–115, doi:10.5220/0006622701080115.
  6. Emanuele Bastianelli, Giuseppe Castellucci, Danilo Croce, Roberto Basili & Daniele Nardi (2014): Effective and Robust Natural Language Understanding for Human-Robot Interaction. In: Torsten Schaub, Gerhard Friedrich & Barry O'Sullivan: ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic - Including Prestigious Applications of Intelligent Systems (PAIS 2014), Frontiers in Artificial Intelligence and Applications 263. IOS Press, pp. 57–62, doi:10.3233/978-1-61499-419-0-57.
  7. Andreas Bauer, Martin Leucker & Christian Schallhart (2011): Runtime Verification for LTL and TLTL. ACM Trans. Softw. Eng. Methodol. 20(4), pp. 14:1–14:64, doi:10.1145/2000799.2000800.
  8. Cristina Botella, Ernestina Etchemendy, Diana Castilla, Rosa María Baños, Azucena García-Palacios, Soledad Quero, Mariano Alcañiz Raya & José Antonio Lozano (2009): An e-Health System for the Elderly (Butler Project): A Pilot Study on Acceptance and Satisfaction. Cyberpsychology Behav. Soc. Netw. 12(3), pp. 255–262, doi:10.1089/cpb.2008.0325.
  9. British Standards Institution (BSI) (2016): BS 8611 – Robots and Robotic Devices — Guide to the ethical design and application. Available at https://shop.bsigroup.com/ProductDetail/?pid=000000000030320089.
  10. Grigore C. Burdea (1999): Invited review: the synergy between virtual reality and robotics. IEEE Trans. Robotics Autom. 15(3), pp. 400–410, doi:10.1109/70.768174.
  11. Andrea Canessa, Paolo Casu, Fabio Solari & Manuela Chessa (2019): Comparing Real Walking in Immersive Virtual Reality and in Physical World using Gait Analysis. In: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP,. INSTICC. SciTePress, pp. 121–128, doi:10.5220/0007380901210128.
  12. Manuela Chessa, Chiara Bassano, Elisa Gusai, Alice E. Martis & Fabio Solari (2018): Human-Computer Interaction Approaches for the Assessment and the Practice of the Cognitive Capabilities of Elderly People. In: Laura Leal-Taixé & Stefan Roth: Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part VI, Lecture Notes in Computer Science 11134. Springer, pp. 66–81, doi:10.1007/978-3-030-11024-6_5.
  13. Manuela Chessa, Guido Maiello, Alessia Borsari & Peter J. Bex (2019): The Perceptual Quality of the Oculus Rift for Immersive Virtual Reality. Human-Computer Interaction 34(1), pp. 51–82, doi:10.1080/07370024.2016.1243478.
  14. Rosa Maria Esteves Moreira da Costa & Luís Alfredo Vidal de Carvalho (2004): The acceptance of virtual reality devices for cognitive rehabilitation: a report of positive results with schizophrenia. Comput. Methods Programs Biomed. 73(3), pp. 173–182, doi:10.1016/S0169-2607(03)00066-X.
  15. Che Samihah Che Dalim, Hoshang Kolivand, Huda Kadhim, Mohd Shahrizal Sunar & Mark Billinghurst (2017): Factors Influencing the Acceptance of Augmented Reality in Education: A Review of the Literature. J. Comput. Sci. 13(11), pp. 581–589, doi:10.3844/jcssp.2017.581.589.
  16. Christopher Ifeanyi Eke, Azah Anir Norman, Liyana Shuib & Henry Friday Nweke (2019): A survey of user profiling: state-of-the-art, challenges, and solutions. IEEE Access 7, pp. 144907–144924, doi:10.1109/ACCESS.2019.2944243.
  17. Joshua Eno & Craig W. Thompson (2011): Virtual and Real-World Ontology Services. IEEE Internet Comput. 15(5), pp. 46–52, doi:10.1109/MIC.2011.75.
  18. Amal El Fallah-Seghrouchni, Serge Haddad & Hamza Mazouzi (1999): Protocol Engineering for Multi-agent Interaction. In: Francisco J. Garijo & Magnus Boman: MultiAgent System Engineering, 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '99, Valencia, Spain, June 30 - July 2, 1999, Proceedings, Lecture Notes in Computer Science 1647. Springer, pp. 89–101, doi:10.1007/3-540-48437-X_8.
  19. Angelo Ferrando, Davide Ancona & Viviana Mascardi (2017): Decentralizing MAS Monitoring with DecAMon. In: Kate Larson, Michael Winikoff, Sanmay Das & Edmund H. Durfee: Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2017, São Paulo, Brazil, May 8-12, 2017. ACM, pp. 239–248. Available at http://dl.acm.org/citation.cfm?id=3091164.
  20. Kirk Fiedler (2019): Virtual Reality in the Cloud: Amazon Sumerian as a Tool and Topic. In: 25th Americas Conference on Information Systems, AMCIS 2019, Cancún, Mexico, August 15-17, 2019. Association for Information Systems. Available at https://aisel.aisnet.org/amcis2019/treo/treos/12.
  21. Michael Fisher, Viviana Mascardi, Kristin Yvonne Rozier, Bernd-Holger Schlingloff, Michael Winikoff & Neil Yorke-Smith (2020): Towards a Framework for Certification of Reliable Autonomous Systems. CoRR abs/2001.09124. Available at https://arxiv.org/abs/2001.09124.
  22. Mary Ellen Foster (2019): Natural language generation for social robotics: opportunities and challenges. Philosophical Transactions of the Royal Society B 374(1771), pp. 20180027, doi:10.1098/rstb.2018.0027.
  23. Eckhard Freund & Jürgen Rossmann (1999): Projective virtual reality: bridging the gap between virtual reality and robotics. IEEE Trans. Robotics Autom. 15(3), pp. 411–422, doi:10.1109/70.768175.
  24. Tom Gruber (2009): Definition of Ontology. In: Ling Liu & M. Tamer Özsu: Encyclopedia of Database Systems. Springer-Verlag, pp. 1959–1959. Available at https://tomgruber.org/writing/ontology-definition-2007.htm, doi:10.1016/0004-3702(80)90011-9.
  25. Sergio Guadarrama, Lorenzo Riano, Dave Golland, Daniel Göhring, Yangqing Jia, Dan Klein, Pieter Abbeel & Trevor Darrell (2013): Grounding spatial relations for human-robot interaction. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan, November 3-7, 2013. IEEE, pp. 1640–1647, doi:10.1109/IROS.2013.6696569.
  26. Florian Heinrich, Kai Bornemann, Kai Lawonn & Christian Hansen (2019): Depth Perception in Projective Augmented Reality: An Evaluation of Advanced Visualization Techniques. In: 25th ACM Symposium on Virtual Reality Software and Technology, VRST ’19. Association for Computing Machinery, New York, NY, USA, doi:10.1145/3359996.3364245.
  27. Evelien Heyselaar & Tibor Bosse (2019): Using Theory of Mind to Assess Users' Sense of Agency in Social Chatbots. In: Asbjørn Følstad, Theo B. Araujo, Symeon Papadopoulos, Effie Lai-Chong Law, Ole-Christoffer Granmo, Ewa Luger & Petter Bae Brandtzæg: Chatbot Research and Design - Third International Workshop, CONVERSATIONS 2019, Amsterdam, The Netherlands, November 19-20, 2019, Revised Selected Papers, Lecture Notes in Computer Science 11970. Springer, pp. 158–169, doi:10.1007/978-3-030-39540-7_11.
  28. Institute of Electrical and Electronics Engineers (2017): P7007 – Ontological Standard for Ethically Driven Robotics and Automation Systems. Available at https://standards.ieee.org/project/7007.html.
  29. Mathias Klinghammer, Immo Schütz, Gunnar Blohm & Katja Fiehler (2016): Allocentric information is used for memory-guided reaching in depth: A virtual reality study. Vision Research 129, pp. 13–24, doi:10.1016/j.visres.2016.10.004.
  30. Lorenz Cuno Klopfenstein, Saverio Delpriori & Alessio Ricci (2018): Adapting a Conversational Text Generator for Online Chatbot Messaging. In: Svetlana S. Bodrunova, Olessia Koltsova, Asbjørn Følstad, Harry Halpin, Polina Kolozaridi, Leonid Yuldashev, Anna S. Smoliarova & Heiko Niedermayer: Internet Science - INSCI 2018 International Workshops, St. Petersburg, Russia, October 24-26, 2018, Revised Selected Papers, Lecture Notes in Computer Science 11551. Springer, pp. 87–99, doi:10.1007/978-3-030-17705-8_8.
  31. Thomas Kollar, Stefanie Tellex, Deb Roy & Nicholas Roy (2010): Grounding Verbs of Motion in Natural Language Commands to Robots. In: Oussama Khatib, Vijay Kumar & Gaurav S. Sukhatme: Experimental Robotics - The 12th International Symposium on Experimental Robotics, ISER 2010, December 18-21, 2010, New Delhi and Agra, India, Springer Tracts in Advanced Robotics 79. Springer, pp. 31–47, doi:10.1007/978-3-642-28572-1_3.
  32. Ernst Kruijff, J. Edward Swan II & Steven Feiner (2010): Perceptual issues in augmented reality revisited. In: 9th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2010, Seoul, Korea, 13-16 October 2010. IEEE Computer Society, pp. 3–12, doi:10.1109/ISMAR.2010.5643530.
  33. Sven Laumer, Christian Maier & Fabian Tobias Gubler (2019): Chatbot Acceptance in Healthcare: Explaining User Adoption of Conversational Agents for disease Diagnosis. In: Jan vom Brocke, Shirley Gregor & Oliver Müller: 27th European Conference on Information Systems - Information Systems for a Sharing Society, ECIS 2019, Stockholm and Uppsala, Sweden, June 8-14, 2019.
  34. Maurizio Leotta, Davide Ancona, Luca Franceschini, Dario Olianas, Marina Ribaudo & Filippo Ricca (2018): Towards a Runtime Verification Approach for Internet of Things Systems. In: Cesare Pautasso, Fernando Sánchez-Figueroa, Kari Systä & Juan Manuel Murillo Rodriguez: Current Trends in Web Engineering - ICWE 2018 International Workshops, MATWEP, EnWot, KD-WEB, WEOD, TourismKG, Cáceres, Spain, June 5, 2018, Revised Selected Papers, Lecture Notes in Computer Science 11153. Springer, pp. 83–96, doi:10.1007/978-3-030-03056-8_8.
  35. Maurizio Leotta, Diego Clerissi, Luca Franceschini, Dario Olianas, Davide Ancona, Filippo Ricca & Marina Ribaudo (2019): Comparing Testing and Runtime Verification of IoT Systems: A Preliminary Evaluation based on a Case Study. In: Ernesto Damiani, George Spanoudakis & Leszek A. Maciaszek: Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2019, Heraklion, Crete, Greece, May 4-5, 2019. SciTePress, pp. 434–441, doi:10.5220/0007745604340441.
  36. M Leue & TH Jung (2014): A theoretical model of augmented reality acceptance. E-review of Tourism Research 5, doi:10.1080/13683500.2015.1070801.
  37. Jianwen Li, Moshe Vardi & Kristin Yvonne Rozier (2019): Satisfiability Checking for Mission-Time LTL. In: Proceedings of 31st International Conference on Computer Aided Verification (CAV'19), LNCS. Springer, doi:10.1007/978-3-030-25543-5_1.
  38. Martin Luboschik, Philip Berger & Oliver Staadt (2016): On Spatial Perception Issues In Augmented Reality Based Immersive Analytics. In: Proceedings of the 2016 ACM Companion on Interactive Surfaces and Spaces, ISS ’16 Companion. Association for Computing Machinery, New York, NY, USA, pp. 47–53, doi:10.1145/3009939.3009947.
  39. Guido Maiello, Manuela Chessa, Fabio Solari & Peter J Bex (2015): The (in) effectiveness of simulated blur for depth perception in naturalistic images. PloS one 10(10), doi:10.1371/journal.pone.0140230.s004.
  40. Zhanat Makhataeva & Huseyin Atakan Varol (2020): Augmented Reality for Robotics: A Review. Robotics 9(2), doi:10.3390/robotics9020021.
  41. Sebastian von Mammen, Andreas Müller, Marc Erich Latoschik, Mario Botsch, Kirsten Brukamp, Carsten Schröder & Michel Wacker (2019): VIA VR: A Technology Platform for Virtual Adventures for Healthcare and Well-Being. In: Fotis Liarokapis: 11th International Conference on Virtual Worlds and Games for Serious Applications, VS-Games 2019, Vienna, Austria, September 4-6, 2019. IEEE, pp. 1–2, doi:10.1109/VS-Games.2019.8864580.
  42. Diana Maynard, Kalina Bontcheva & Isabelle Augenstein (2016): Natural Language Processing for the Semantic Web. Synthesis Lectures on the Semantic Web: Theory and Technology. Morgan & Claypool Publishers, doi:10.2200/S00741ED1V01Y201611WBE015.
  43. Chris Mellish & Xiantang Sun (2006): The semantic web as a Linguistic resource: Opportunities for natural language generation. Knowl. Based Syst. 19(5), pp. 298–303, doi:10.1016/j.knosys.2005.11.011.
  44. Merriam-Webster Dictionary (2020): Definition of Interaction. Available at https://www.merriam-webster.com/dictionary/interaction.
  45. Paul Milgram, Haruo Takemura, Akira Utsumi & Fumio Kishino (1994): Augmented Reality: A Class of Displays on the Reality-Virtuality Continuum. In: Proceedings of Telemanipulator and Telepresence Technologies 2351. SPIE, pp. 282–292, doi:10.1117/12.197321.
  46. Joschka Mütterlein & Thomas Hess (2017): Immersion, Presence, Interactivity: Towards a Joint Understanding of Factors Influencing Virtual Reality Acceptance and Use. In: 23rd Americas Conference on Information Systems, AMCIS 2017, Boston, MA, USA, August 10-12, 2017. Association for Information Systems. Available at http://aisel.aisnet.org/amcis2017/AdoptionIT/Presentations/17.
  47. James Odell, H. Van Dyke Parunak & Bernhard Bauer (2000): Representing Agent Interaction Protocols in UML. In: Paolo Ciancarini & Michael J. Wooldridge: Agent-Oriented Software Engineering, First International Workshop, AOSE 2000, Limerick, Ireland, June 10, 2000, Revised Papers, Lecture Notes in Computer Science 1957. Springer, pp. 121–140, doi:10.1007/3-540-44564-1_8.
  48. Grant Pointon, Chelsey Thompson, Sarah Creem-Regehr, Jeanine Stefanucci & Bobby Bodenheimer (2018): Affordances as a measure of perceptual fidelity in augmented reality. In: Proceedings of the 2018 IEEE VR 2018 Workshop on Perceptual and Cognitive Issues in AR (PERCAR), pp. 1–6.
  49. Tim Rietz, Ivo Benke & Alexander Maedche (2019): The Impact of Anthropomorphic and Functional Chatbot Design Features in Enterprise Collaboration Systems on User Acceptance. In: Thomas Ludwig & Volkmar Pipek: Human Practice. Digital Ecologies. Our Future. 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), February 24-27, 2019, Siegen, Germany. University of Siegen, Germany / AISeL, pp. 1642–1656. Available at https://aisel.aisnet.org/wi2019/track13/papers/7.
  50. Silvia Rossi, François Ferland & Adriana Tapus (2017): User profiling and behavioral adaptation for HRI: A survey. Pattern Recognit. Lett. 99, pp. 3–12, doi:10.1016/j.patrec.2017.06.002.
  51. Daniel Szafir (2019): Mediating Human-Robot Interactions with Virtual, Augmented, and Mixed Reality. In: Jessie Y. C. Chen & Gino Fragomeni: Virtual, Augmented and Mixed Reality. Applications and Case Studies - 11th International Conference, VAMR 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26-31, 2019, Proceedings, Part II, Lecture Notes in Computer Science 11575. Springer, pp. 124–149, doi:10.1007/978-3-030-21565-1_9.
  52. Shabnam Tafreshi & Mona T. Diab (2019): GWU NLP Lab at SemEval-2019 Task 3 : EmoContext: Effectiveness ofContextual Information in Models for Emotion Detection inSentence-level at Multi-genre Corpus. In: Jonathan May, Ekaterina Shutova, Aurélie Herbelot, Xiaodan Zhu, Marianna Apidianaki & Saif M. Mohammad: Proceedings of the 13th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2019, Minneapolis, MN, USA, June 6-7, 2019. Association for Computational Linguistics, pp. 230–235, doi:10.18653/v1/s19-2038.
  53. The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems (2019): Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems. IEEE. Available at https://standards.ieee.org/content/ieee-standards/en/industry-connections/ec/ autonomous-systems.html.
  54. Mike Uschold & Michael Gruninger (1996): Ontologies: Principles, methods and applications. The knowledge engineering review 11(2), pp. 93–136, doi:10.1017/S0269888900007797.
  55. Yorick Wilks & Christopher Brewster (2009): Natural Language Processing as a Foundation of the Semantic Web. Found. Trends Web Sci. 1(3-4), pp. 199–327, doi:10.1561/1800000002.
  56. Alan F. T. Winfield, Katina Michael, Jeremy Pitt & Vanessa Evers (2019): Machine Ethics: The Design and Governance of Ethical AI and Autonomous Systems. Proceedings of the IEEE 107(3), pp. 509–517, doi:10.1109/JPROC.2019.2900622.
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