The Development and Validation of an Augmented and Mixed Reality Usability Heuristic Checklist

Derby, Jessyca L.; Chaparro, Barbara S.

doi:10.1007/978-3-031-05939-1_11

Cited by 7 publications

(5 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Heuristics have been developed for XR (Derby & Chaparro, 2022; Stanney et al, 2021). However, it is important to understand which type of device the heuristics were developed for when choosing which heuristics to use.…”

Section: Xr Accessibility Discussion Topicsmentioning

confidence: 99%

Towards Making XR 100% Accessible: A Discussion Panel

Rupp,

Gluck,

Derby

et al. 2023

Proceedings of the Human Factors and Ergonomics Society Annual

View full text Add to dashboard Cite

Given the increased usage of extended reality (XR), it is important to consider what difficulties users may have using these systems. This discussion panel will provide an open dialog about what accessibility means for XR systems and for whom. Each panelist will provide a brief overview of the following topics within their bailiwick followed by Q & A. Aaron Gluck will discuss broadening access to XR by users with disabilities. Jessyca Derby will discuss heuristics for making AR/MR experiences more accessible and what resources are available to assist designers and practitioners, Thom Gable will discuss inclusive design in the XR space more broadly and discuss the approach within Microsoft, Nicholas Kelling will discuss the role behavioral and sensory accessibility plays in opening XR to a broader audience, and Carmen Van Ommen will discuss how best practices from other domains can be applied to XR

show abstract

Section: Xr Accessibility Discussion Topicsmentioning

confidence: 99%

Towards Making XR 100% Accessible: A Discussion Panel

Rupp,

Gluck,

Derby

et al. 2023

Proceedings of the Human Factors and Ergonomics Society Annual

View full text Add to dashboard Cite

show abstract

“…Users also had trouble moving puzzle pieces in the HMD application, however, this was more due to the small size of the 3D objects rather than the actual controls and gestures they were performing. Improving the text and 3D object size by following AR standards could make this interaction easier (Derby & Chaparro, 2022).…”

Section: Discussionmentioning

confidence: 99%

“…Heuristic checklists have been developed to assess the usability by following best practices or "rules of thumb" of design for a product. One such list has been created to assess the usability of any AR or MR device (Derby & Chaparro, 2022).…”

Section: Usability Considerations With Ar Devicesmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating the Usability of Augmented Reality (AR) Applications: The Impact of The Device Used

Derby

Chaparro

2022

Proceedings of the Human Factors and Ergonomics Society Annual

Self Cite

View full text Add to dashboard Cite

Augmented Reality (AR) has become increasingly popular in recent years in the realms of training, manufacturing, gaming, office work, and even a social platform. This technology has shown promise as different types of devices support AR, such as mobile phones, head-mounted displays (HMDs), desktop PCs, etc. As applications are deployed on multiple AR device types, it is important to assess the usability of these applications on all possible devices to assess the cross-channel user experience. This paper describes two case studies that show usability issues with different types of devices. Overall, using known interactions with devices instead of implementing new interactions was more important for mobile devices, comfort is more of a concern for HMDs, and common "rules of thumb" (such as making sure the form of buttons communicates function) is a concern for both application types.

show abstract

“…Existing heuristics could not be used for evaluating augmented reality (AR) or mixed reality (MR); therefore, Derby et al [61] conducted a literature review to develop usability heuristics for these systems. For the heuristic development, the eight stages proposed by Quiñones and Rusu [25] were used, and expert reviews, heuristic evaluation, and user testing of the systems performed the validation.…”

Section: Other Domainsmentioning

confidence: 99%

Task Automation Intelligent Agents: A Review

Wali

Mahamad

2023

Future Internet

View full text Add to dashboard Cite

As technological advancements increase exponentially, mobile phones become smarter with machine learning and artificial intelligence algorithms. These advancements have allowed mobile phone users to perform most of their daily routine tasks on mobile phones; tasks performed in daily routines are called repetitive tasks and are performed manually by the users themselves. However, machine learning and artificial intelligence have enabled those tasks to be performed automatically, known as task automation. The users can perform task automation, e.g., through creating automation rules or an intelligent agent, e.g., conversational agents, virtual personal assistants, etc. Several techniques to achieve task automation have been proposed, but this review shows that task automation by programming by demonstration has had massive developmental growth because of its user-centered approach. Apple Siri, Google Assistant, MS Cortana, and Amazon Alexa are the most known task automation agents. However, these agents are not widely adopted because of their usability issues. In this study, two research questions are evaluated through the available literature to expand the research on intelligent task automation agents: (1) What is the state-of-the-art in task automation agents? (2) What are the existing methods and techniques for developing usability heuristics, specifically for intelligent agents? Research shows groundbreaking developments have been made in mobile phone task automation recently. However, it must still be conducted per usability principles to achieve maximum usability and user satisfaction. The second research question further justifies developing a set of domain-specific usability heuristics for mobile task automation intelligent agents.

show abstract

The Development and Validation of an Augmented and Mixed Reality Usability Heuristic Checklist

Cited by 7 publications

References 19 publications

Towards Making XR 100% Accessible: A Discussion Panel

Towards Making XR 100% Accessible: A Discussion Panel

Evaluating the Usability of Augmented Reality (AR) Applications: The Impact of The Device Used

Task Automation Intelligent Agents: A Review

Contact Info

Product

Resources

About