Towards Progress Assessment for Adaptive Hints in Educational Virtual Reality Games

Drey, Tobias; Jansen, Pascal; Fischbach, Fabian; Frommel, Julian; Rukzio, Enrico

doi:10.1145/3334480.3382789

Cited by 18 publications

(5 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One possible example is an employee working with computer-aided design (CAD) VR software. Similar, as proposed by Drey et al [4] and Bye et al [2], this software monitors all body movements, including hands, feet, head, and even the gaze behavior. Furthermore, the workflow is monitored too, and the personal capabilities were assessed based on measurements like spatial abilities.…”

Section: Adaptive Individual Work Environmentmentioning

confidence: 82%

“…These profiles can be enriched with data gained through adaptive games with leisure or educational content. The methods proposed by Drey et al [4] and Bye et al [2] provide new possibilities to create a much more complex user profile than today. They tell a lot about how users understand and interact with their environment.…”

Section: Adaptive Personalized Content Based On User Profilesmentioning

confidence: 99%

“…Adaptivity provides an opportunity to provide individual user experience (UX) and increase flow, presence, and immersion. Related work has shown, that behavioral indicators and biometric data for hand [6,9] and foot movements [5,8], as well as gaze behavior [7,11,12], can be used to adapt virtual environments and virtual reality (VR) [2,4]. The use of VR head-mounted displays (HMDs) provides the possibility to increase these effects by encapsulating users to their own environment.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Discussing the Risks of Adaptive Virtual Environments for User Autonomy

Drey,

Rukzio

2021

Preprint

Self Cite

View full text Add to dashboard Cite

Adaptive virtual environments are an opportunity to support users and increase their flow, presence, immersion, and overall experience. Possible fields of application are adaptive individual education, gameplay adjustment, professional work, and personalized content. But who benefits more from this adaptivity, the users who can enjoy a greater user experience or the companies or governments who are completely in control of the provided content. While the user autonomy decreases for individuals, the power of institutions raises, and the risk exists that personal opinions are precisely controlled. In this position paper, we will argue that researchers should not only propose the benefits of their work but also critically discuss what are possible abusive use cases. Therefore, we will examine two use cases in the fields of professional work and personalized content and show possible abusive use.

show abstract

Section: Adaptive Individual Work Environmentmentioning

confidence: 82%

Section: Adaptive Personalized Content Based On User Profilesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Discussing the Risks of Adaptive Virtual Environments for User Autonomy

Drey,

Rukzio

2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…It can be played on a HTC VIVE head-mounted display [13]. We used a previous prototype of the game to develop a concept for progress assessment for adaptive hints in educational VR games [10].…”

Section: Design Process and Implementationmentioning

confidence: 99%

The Social Engineer

Jansen

Fischbach

2020

Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play

Self Cite

View full text Add to dashboard Cite

show abstract

“…Evaluating the user experience (UX) is vital in human-computer interaction (HCI) research, especially when developing new artifact contributions (see Wobbrock and Kientz [36]) such as new interaction systems [11] or games [12]. Several concepts were introduced during the last years to measure user states.…”

Section: Introductionmentioning

confidence: 99%

Questionnaires and Qualitative Feedback Methods to Measure User Experience in Mixed Reality

Drey¹,

Rietzler²,

Rukzio³

2021

Preprint

Self Cite

View full text Add to dashboard Cite

Evaluating the user experience of a software system is an essential final step of every research. Several concepts such as flow, affective state, presences, or immersion exist to measure user experience. Typical measurement techniques analyze physiological data, gameplay data, and questionnaires. Qualitative feedback methods are another approach to collect detailed user insights. In this position paper, we will discuss how we used questionnaires and qualitative feedback methods in previous mixed reality work to measure user experience. We will present several measurement examples, discuss their current limitations, and provide guideline propositions to support comparable mixed reality user experience research in the future. CCS CONCEPTS• Human-centered computing → User studies; Walkthrough evaluations; Usability testing; Mixed / augmented reality; Virtual reality.

show abstract

Towards Progress Assessment for Adaptive Hints in Educational Virtual Reality Games

Cited by 18 publications

References 20 publications

Discussing the Risks of Adaptive Virtual Environments for User Autonomy

Discussing the Risks of Adaptive Virtual Environments for User Autonomy

The Social Engineer

Questionnaires and Qualitative Feedback Methods to Measure User Experience in Mixed Reality

Contact Info

Product

Resources

About