MoodStatus

Mood

Mood describes feelings that tend to last longer and have a less direct cause.

Dimension	Explanation	Reference
bad_to_good	Reflects whether a user is in a bad or good mood.	[33]
tired_to_energetic	Reflects whether a user is feeling tired or energetic.	[33]
tense_to_relaxed	Reflects whether a user is feeling tense or relaxed.	[33]

References from SLR

Reference(s) Number	Reference
1	Jason Jaskolka and Brahim Hamid. 2023. Towards the Integration of Human Factors in Collaborative Decision Making for Secure Architecture Design. In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE '22). Association for Computing Machinery, New York, NY, USA, Article 224, 1–8. https://doi.org/10.1145/3551349.3561149
2	Chiraz El Hog, Raoudha Ben Djemaa, and Ikram Amous. 2012. Profile annotation for adaptable Web Service description. In Proceedings of the 27th Annual ACM Symposium on Applied Computing (SAC '12). Association for Computing Machinery, New York, NY, USA, 1935–1940. https://doi.org/10.1145/2245276.2232096
3	M. Brambilla and C. Tziviskou, "Modeling Ontology-Driven Personalization of Web Contents," 2008 Eighth International Conference on Web Engineering, Yorktown Heights, NJ, USA, 2008, pp. 247-260, doi: 10.1109/ICWE.2008.44.
4	Z. Aarab, R. Saidi and M. D. Rahmani, "Event-driven modeling for context-aware information systems," 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA), Agadir, Morocco, 2016, pp. 1-8, doi: 10.1109/AICCSA.2016.7945785.
5	Martin Wischenbart, Stefan Mitsch, Elisabeth Kapsammer, Angelika Kusel, Birgit Pröll, Werner Retschitzegger, Wieland Schwinger, Johannes Schönböck, Manuel Wimmer, and Stephan Lechner. 2012. User profile integration made easy: model-driven extraction and transformation of social network schemas. In Proceedings of the 21st International Conference on World Wide Web (WWW '12 Companion). Association for Computing Machinery, New York, NY, USA, 939–948. https://doi.org/10.1145/2187980.2188227
6	Jovanovic, M., Starcevic, D., Jovanovic, Z. (2014). Bridging User Context and Design Models to Build Adaptive User Interfaces. In: Sauer, S., Bogdan, C., Forbrig, P., Bernhaupt, R., Winckler, M. (eds) Human-Centered Software Engineering. HCSE 2014. Lecture Notes in Computer Science, vol 8742. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44811-3_3
7	Kennedy, Grace & Scott, William & Shirvani, Farid & Campbell, Allan. (2020). Managing Organisational System Evolution Through Model-Based Systems Engineering Approaches. 10.1109/SysCon47679.2020.9275920.
8	Vázquez-Ingelmo, A., García-Peñalvo, F. J., Therón, R., & Conde, M. Á. (2020). Representing Data Visualization Goals and Tasks through Meta-Modeling to Tailor Information Dashboards. Applied Sciences, 10(7), 2306. https://doi.org/10.3390/app10072306
9	Khider, H., Hammoudi, S., & Meziane, A. (2020). Business Process Model Recommendation as a Transformation Process in MDE: Conceptualization and First Experiments. International Conference on Model-Driven Engineering and Software Development.
10	Irene Garrigós, Jesús Pardillo, Jose-Norberto Mazón, Jose Zubcoff, Juan Trujillo, and Rafael Romero. 2012. A Conceptual Modeling Personalization Framework for OLAP. J. Database Manage. 23, 4 (October 2012), 1–16. https://doi.org/10.4018/jdm.2012100101
11	Silva, S., Belo, O. (2023). Domain and Semantic Modeling in the Context of Interactive Systems Development: User and Device Cases. In: Papadaki, M., Rupino da Cunha, P., Themistocleous, M., Christodoulou, K. (eds) Information Systems. EMCIS 2022. Lecture Notes in Business Information Processing, vol 464. Springer, Cham. https://doi.org/10.1007/978-3-031-30694-5_36
12	Yigitbas, E., Jovanovikj, I., Biermeier, K. et al. Integrated model-driven development of self-adaptive user interfaces. Softw Syst Model 19, 1057–1081 (2020). https://doi.org/10.1007/s10270-020-00777-7
13	Karam, R., Fraternali, P., Bozzon, A., Galli, L. (2012). Modeling End-Users as Contributors in Human Computation Applications. In: Abelló, A., Bellatreche, L., Benatallah, B. (eds) Model and Data Engineering. MEDI 2012. Lecture Notes in Computer Science, vol 7602. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33609-6_3
14	Gaspar, A., Gil, M., Panach, J.I. et al. Towards a general user model to develop intelligent user interfaces. Multimed Tools Appl 83, 67501–67534 (2024). https://doi.org/10.1007/s11042-024-18240-w
15	Sofiane Abbar, Mokrane Bouzeghoub, and Stéphane Lopes. 2010. Introducing contexts into personalized web applications. In Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services (iiWAS '10). Association for Computing Machinery, New York, NY, USA, 155–162. https://doi.org/10.1145/1967486.1967513
16	Hourieh Khalajzadeh, John Grundy, and Jennifer McIntosh. 2022. Vision: developing collaborative model-driven apps for personalised care plans. In Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings (MODELS '22). Association for Computing Machinery, New York, NY, USA, 929–933. https://doi.org/10.1145/3550356.3559100
17	Ingrid Nunes, Simone D.J. Barbosa, Don Cowan, Simon Miles, Michael Luck, Carlos J.P. de Lucena, Natural Language-based Representation of User Preferences, Interacting with Computers, Volume 27, Issue 2, March 2015, Pages 133–158, https://doi.org/10.1093/iwc/iwt060
18	I. Elmagrouni, M. Lethrech, A. Kenzi and A. Kriouile, "Approach for building Services-Oriented systems adaptable," 2016 5th International Conference on Multimedia Computing and Systems (ICMCS), Marrakech, Morocco, 2016, pp. 183-188, doi: 10.1109/ICMCS.2016.7905656.
19	Paul Perrotin, Salah Sadou, David Hairion, and Antoine Beugnard. 2020. Detecting human vulnerably in socio-technical systems: a naval case study. In Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings (MODELS '20). Association for Computing Machinery, New York, NY, USA, Article 56, 1–8. https://doi.org/10.1145/3417990.3420045
20	Sheikh Bahaei, Soheila & Gallina, Barbara. (2021). A Metamodel Extension to Capture Post Normal Accidents in AR-equipped Socio-technical Systems. 768-775. 10.3850/978-981-18-2016-8_417-cd.
21	A. Ben Cheikh, S. Coulondre, A. Front and J. -P. Giraudin, "An engineering method for context-aware and reactive systems," 2012 Sixth International Conference on Research Challenges in Information Science (RCIS), Valencia, Spain, 2012, pp. 1-12, doi: 10.1109/RCIS.2012.6240433.
22	Kaklanis, N., Biswas, P., Mohamad, Y. et al. Towards standardisation of user models for simulation and adaptation purposes. Univ Access Inf Soc 15, 21–48 (2016). https://doi.org/10.1007/s10209-014-0371-2
23	Orellana, Douglas & Madni, Azad. (2014). Human System Integration Ontology: Enhancing Model Based Systems Engineering to Evaluate Human-System Performance. Procedia Computer Science. 10.1016/j.procs.2014.03.003.
24	Jaouadi, I., Ben Djemaa, R. & Ben-Abdallah, H. A model-driven development approach for context-aware systems. Softw Syst Model 17, 1169–1195 (2018). https://doi.org/10.1007/s10270-016-0550-0
25	V. G. Motti and J. Vanderdonckt, "A computational framework for context-aware adaptation of user interfaces," IEEE 7th International Conference on Research Challenges in Information Science (RCIS), Paris, France, 2013, pp. 1-12, doi: 10.1109/RCIS.2013.6577709.
26	Tapucu, Dilek & Can, Ozgu & Bursa, Okan & Unalir, Murat. (2008). Metamodeling Approach to Preference Management in the Semantic Web. AAAI Workshop - Technical Report.
27	J. Bocanegra, J. Pavlich-Mariscal and A. Carrillo-Ramos, "DMLAS: A Domain-Specific Language for designing adaptive systems," 2015 10th Computing Colombian Conference (10CCC), Bogota, Colombia, 2015, pp. 47-54, doi: 10.1109/ColumbianCC.2015.7333411.

Additional References

Reference(s) Number	Reference
28	Heckmann, Dominik. (2006). Ubiquitous User Modeling.
29	Park, J. S., Zou, C. Q., Shaw, A., Hill, B. M., Cai, C., Morris, M. R., ... & Bernstein, M. S. (2024). Generative agent simulations of 1,000 people. arXiv preprint arXiv:2411.10109
30	Hofstede, G. (2011). Dimensionalizing Cultures: The Hofstede Model in Context. Online Readings in Psychology and Culture, 2(1). https://doi.org/10.9707/2307-0919.1014
31	Marcus, A. (2006). Cross-Cultural User-Experience Design. In: Barker-Plummer, D., Cox, R., Swoboda, N. (eds) Diagrammatic Representation and Inference. Diagrams 2006. Lecture Notes in Computer Science(), vol 4045. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783183_4
32	Heckmann, Dominik & Schwartz, Tim & Brandherm, Boris & Schmitz, Michael & Wilamowitz-Moellendorff, Margeritta. (2005). Gumo – The General User Model Ontology. 428-432. 10.1007/11527886_58.
33	Lochner, Katharina & Eid, M.. (2016). Successful emotions: How emotions drive cognitive performance. 10.1007/978-3-658-12231-7.
34	Sergio Morales, Robert Clarisó, and Jordi Cabot. 2024. A DSL for Testing LLMs for Fairness and Bias. In Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems (MODELS '24). Association for Computing Machinery, New York, NY, USA, 203–213. https://doi.org/10.1145/3640310.3674093
35	Forbes, D. L. (2011). Toward a Unified Model of Human Motivation. Review of General Psychology, 15(2), 85-98. https://doi.org/10.1037/a0023483
36	Feher, Anita & Vernon, Philip. (2020). Looking beyond the Big Five: A selective review of alternatives to the Big Five model of personality. Personality and Individual Differences. 169. 110002. 10.1016/j.paid.2020.110002.