Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ https://zenodo.org/r...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://zenodo.org/record/5550...
Conference object
License: CC BY
Data sources: UnpayWall
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Conference object . 2020
License: CC BY
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/icst46...
Conference object . 2020 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Toward Automated Assessment of User Experience in Extended Reality

Authors: Gholizadeh Ansari, Saba;

Toward Automated Assessment of User Experience in Extended Reality

Abstract

Designers of extended reality systems need to predict users feedback about designed elements to evaluate their systems. Manual user experience testing can not cover all preferences of users and user-system interactions. To improve and accelerate this process, automated user experience testing is a field of growing interest. Since users' emotions affect their experience, the automated testing framework should represent users with different emotional states. In this study, we propose an approach to deploy an automated user experience testing framework using BDI test agents which work with a computational model of emotion to regulate their testing behavior.

Subjects by Vocabulary

Microsoft Academic Graph classification: Cover (telecommunications) Computer science Process (engineering) business.industry Affect (psychology) Field (computer science) Test (assessment) User experience design Human–computer interaction business

Keywords

computational modeling, automated testing, Intelligent agent

11 references, page 1 of 2

[1] A. Drachen and A. Canossa, “Towards gameplay analysis via gameplay metrics,” in Proceedings of the 13th international MindTrek conference: Everyday life in the ubiquitous era, pp. 202-209, ACM, 2009. [OpenAIRE]

[2] M. Wooldridge, “Intelligent agents,” Multiagent systems, vol. 35, no. 4, p. 51, 1999.

[3] L.-F. Rodr´ıguez and F. Ramos, “Development of computational models of emotions for autonomous agents: a review,” Cognitive Computation, vol. 6, no. 3, pp. 351-375, 2014.

[4] P. McMinn, “Search-based software test data generation: a survey,” Software testing, Verification and reliability, vol. 14, no. 2, pp. 105- 156, 2004.

[5] S. F. Gudmundsson, P. Eisen, E. Poromaa, A. Nodet, S. Purmonen, B. Kozakowski, R. Meurling, and L. Cao, “Human-like playtesting with deep learning,” in 2018 IEEE Conference on Computational Intelligence and Games (CIG), pp. 1-8, IEEE, 2018.

[6] C. Holmgard, M. C. Green, A. Liapis, and J. Togelius, “Automated playtesting with procedural personas with evolved heuristics,” IEEE Transactions on Games, 2018. [OpenAIRE]

[7] E. Osuna, L.-F. Rodr´ıguez, J. O. Gutierrez-Garcia, and L. A. Castro, “Development of computational models of emotions: A software engineering perspective,” Cognitive Systems Research, vol. 60, pp. 1-19, 2020.

[8] A. Ortony, G. Clore, and A. Collins, “The cognitive structure of emotions. cam (bridge university press,” Cambridge, England, 1988.

[9] C. Adam, A. Herzig, and D. Longin, “A logical formalization of the occ theory of emotions,” Synthese, vol. 168, no. 2, pp. 201-248, 2009.

[10] I. Prasetya, “Aplib: Tactical programming of intelligent agents,” arXiv preprint arXiv:1911.04710, 2019.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 68
    download downloads 134
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    Powered byBIP!BIP!
  • 68
    views
    134
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
2
Average
Average
Average
68
134