An Adaptation of Fitts’ Law for Performance Evaluation and Optimization of Augmented Reality (AR) Interfaces
There is growing widespread adoption of augmented reality in tech-driven industries and sectors of society, such as medicine, gaming, flight simulation, education, interior design and modelling, entertainment, construction, tourism, repair and maintenance, public safety, agriculture, and quantum com...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10752958/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846160679047790592 |
|---|---|
| author | Onyeka Josephine Nwobodo Kamil Wereszczynski Godlove Suila Kuaban Przemyslaw Skurowski Krzysztof Adam Cyran |
| author_facet | Onyeka Josephine Nwobodo Kamil Wereszczynski Godlove Suila Kuaban Przemyslaw Skurowski Krzysztof Adam Cyran |
| author_sort | Onyeka Josephine Nwobodo |
| collection | DOAJ |
| description | There is growing widespread adoption of augmented reality in tech-driven industries and sectors of society, such as medicine, gaming, flight simulation, education, interior design and modelling, entertainment, construction, tourism, repair and maintenance, public safety, agriculture, and quantum computing. However, ensuring smooth and intuitive interactions with augmented objects is challenging, requiring practical performance evaluation and optimization models to assess and improve users’ experiences with AR-enhanced systems. In this paper, we apply Fitts’ Law to model and predict interaction task difficulty with objects distributed across four spatial quadrants. We use genetic optimization algorithms to fine-tune Fitts’ Law parameters, achieving a model that significantly enhances predictive accuracy. Our optimized model demonstrates an approximately 40% reduction in interaction task difficulty across all quadrants, leading to a more ergonomic and intuitive user interface. This study contributes to the Human-Computer Interaction (HCI) field by offering a refined metric for evaluating and optimizing AR interfaces and addressing the unique challenges of three-dimensional interaction environments. Therefore, we propose a practical framework for the performance evaluations and optimization of augmented reality and other user interfaces. |
| format | Article |
| id | doaj-art-4ddf2458d9d0414dba048e3d883ea66c |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-4ddf2458d9d0414dba048e3d883ea66c2024-11-22T00:01:27ZengIEEEIEEE Access2169-35362024-01-011216961416962710.1109/ACCESS.2024.349844410752958An Adaptation of Fitts’ Law for Performance Evaluation and Optimization of Augmented Reality (AR) InterfacesOnyeka Josephine Nwobodo0https://orcid.org/0000-0002-2706-6830Kamil Wereszczynski1Godlove Suila Kuaban2https://orcid.org/0000-0002-3321-4414Przemyslaw Skurowski3https://orcid.org/0000-0001-5306-9528Krzysztof Adam Cyran4https://orcid.org/0000-0003-1789-4939Department of Computer Graphics, Vision, and Digital Systems, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, PolandDepartment of Computer Graphics, Vision, and Digital Systems, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, PolandInstitute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, PolandDepartment of Computer Graphics, Vision, and Digital Systems, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, PolandDepartment of Computer Graphics, Vision, and Digital Systems, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, PolandThere is growing widespread adoption of augmented reality in tech-driven industries and sectors of society, such as medicine, gaming, flight simulation, education, interior design and modelling, entertainment, construction, tourism, repair and maintenance, public safety, agriculture, and quantum computing. However, ensuring smooth and intuitive interactions with augmented objects is challenging, requiring practical performance evaluation and optimization models to assess and improve users’ experiences with AR-enhanced systems. In this paper, we apply Fitts’ Law to model and predict interaction task difficulty with objects distributed across four spatial quadrants. We use genetic optimization algorithms to fine-tune Fitts’ Law parameters, achieving a model that significantly enhances predictive accuracy. Our optimized model demonstrates an approximately 40% reduction in interaction task difficulty across all quadrants, leading to a more ergonomic and intuitive user interface. This study contributes to the Human-Computer Interaction (HCI) field by offering a refined metric for evaluating and optimizing AR interfaces and addressing the unique challenges of three-dimensional interaction environments. Therefore, we propose a practical framework for the performance evaluations and optimization of augmented reality and other user interfaces.https://ieeexplore.ieee.org/document/10752958/Augmented realitySLAMFitts’ lawlevel of difficultyergonomics in ARuser engagement |
| spellingShingle | Onyeka Josephine Nwobodo Kamil Wereszczynski Godlove Suila Kuaban Przemyslaw Skurowski Krzysztof Adam Cyran An Adaptation of Fitts’ Law for Performance Evaluation and Optimization of Augmented Reality (AR) Interfaces IEEE Access Augmented reality SLAM Fitts’ law level of difficulty ergonomics in AR user engagement |
| title | An Adaptation of Fitts’ Law for Performance Evaluation and Optimization of Augmented Reality (AR) Interfaces |
| title_full | An Adaptation of Fitts’ Law for Performance Evaluation and Optimization of Augmented Reality (AR) Interfaces |
| title_fullStr | An Adaptation of Fitts’ Law for Performance Evaluation and Optimization of Augmented Reality (AR) Interfaces |
| title_full_unstemmed | An Adaptation of Fitts’ Law for Performance Evaluation and Optimization of Augmented Reality (AR) Interfaces |
| title_short | An Adaptation of Fitts’ Law for Performance Evaluation and Optimization of Augmented Reality (AR) Interfaces |
| title_sort | adaptation of fitts x2019 law for performance evaluation and optimization of augmented reality ar interfaces |
| topic | Augmented reality SLAM Fitts’ law level of difficulty ergonomics in AR user engagement |
| url | https://ieeexplore.ieee.org/document/10752958/ |
| work_keys_str_mv | AT onyekajosephinenwobodo anadaptationoffittsx2019lawforperformanceevaluationandoptimizationofaugmentedrealityarinterfaces AT kamilwereszczynski anadaptationoffittsx2019lawforperformanceevaluationandoptimizationofaugmentedrealityarinterfaces AT godlovesuilakuaban anadaptationoffittsx2019lawforperformanceevaluationandoptimizationofaugmentedrealityarinterfaces AT przemyslawskurowski anadaptationoffittsx2019lawforperformanceevaluationandoptimizationofaugmentedrealityarinterfaces AT krzysztofadamcyran anadaptationoffittsx2019lawforperformanceevaluationandoptimizationofaugmentedrealityarinterfaces AT onyekajosephinenwobodo adaptationoffittsx2019lawforperformanceevaluationandoptimizationofaugmentedrealityarinterfaces AT kamilwereszczynski adaptationoffittsx2019lawforperformanceevaluationandoptimizationofaugmentedrealityarinterfaces AT godlovesuilakuaban adaptationoffittsx2019lawforperformanceevaluationandoptimizationofaugmentedrealityarinterfaces AT przemyslawskurowski adaptationoffittsx2019lawforperformanceevaluationandoptimizationofaugmentedrealityarinterfaces AT krzysztofadamcyran adaptationoffittsx2019lawforperformanceevaluationandoptimizationofaugmentedrealityarinterfaces |