User Experience Evaluation in Intelligent Environments: A Comprehensive Framework

Ntoa, Stavroula; Margetis, George; Antona, Margherita; Stephanidis, Constantine

doi:10.3390/technologies9020041

Cited by 29 publications

(13 citation statements)

References 43 publications

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“…The People þ AI Guidebook provides guidelines organized in six chapters, namely, user needs and defining success, data collection and evaluation, mental models, explainability and trust, feedback and control, errors and graceful failure. Furthermore, a comprehensive framework has been proposed for the evaluation of UX in intelligent environments, identifying the following key UX constructs: intuitiveness, unobtrusiveness, adaptability and adaptivity, usability, appeal and emotions, safety and privacy, technology acceptance and user adoption (Ntoa et al, 2021b).…”

Section: Ensuring Universal Usability and Improved User Experiencementioning

confidence: 99%

Six Human-Centered Artificial Intelligence Grand Challenges

Garibay

Winslow

Andolina

et al. 2023

International Journal of Human–Computer Interaction

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146

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Widespread adoption of artificial intelligence (AI) technologies is substantially affecting the human condition in ways that are not yet well understood. Negative unintended consequences abound including the perpetuation and exacerbation of societal inequalities and divisions via algorithmic decision making. We present six grand challenges for the scientific community to create AI technologies that are humancentered, that is, ethical, fair, and enhance the human condition. These grand challenges are the result of an international collaboration across academia, industry and government and represent the consensus views of a group of 26 experts in the field of human-centered artificial intelligence (HCAI). In essence, these challenges advocate for a human-centered approach to AI that (1) is centered in human wellbeing, (2) is designed responsibly, (3) respects privacy, (4) follows human-centered design principles, ( 5) is subject to appropriate governance and oversight, and (6) interacts with individuals while respecting human's cognitive capacities. We hope that these challenges and their associated research directions serve as a call for action to conduct research and development in AI that serves as a force multiplier towards more fair, equitable and sustainable societies.

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Section: Ensuring Universal Usability and Improved User Experiencementioning

confidence: 99%

Six Human-Centered Artificial Intelligence Grand Challenges

Garibay

Winslow

Andolina

et al. 2023

International Journal of Human–Computer Interaction

Self Cite

146

View full text Add to dashboard Cite

show abstract

“…Regarding the evaluation of the prototype, this was carried out iteratively using two user groups. The first group was comprised of usability and user experience experts that evaluate an interactive application based on the Heuristic Evaluation method [116], which is an expert-based review method that is highly beneficial to eliminate usability problems before testing with representative end users, [117,118] also taking into account evaluation methods targeted on museum experience [119,120]. A small group of evaluators examined the user interfaces to spot violations of established usability principles, commonly known as heuristics [121].…”

Section: Validation-evaluationmentioning

confidence: 99%

Digital Interaction with Physical Museum Artifacts

et al. 2023

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In the digital information world, visualizing information in public spaces has been implemented in various formats and for application contexts such as advertisement, useful information provision, and provision of critical information in the cases of accidents, natural disasters, etc. Among the different types of information displays, in this research work, the focus is given to the ones that extend the experience of people visiting cultural heritage institutions. To this end, the design and implementation of an interactive display case that aims to overcome the “non-touch policy” of museums are presented. This novel display allows visitors to get engaged with artifacts and information through touch-based interaction with the ambition to extend the target audience and impact of museum content. The conducted study demonstrates that the interactive display case is an effective solution for providing relevant information to visitors, enhancing their engagement with exhibits, and improving their overall experience. The proposed solution is user-friendly, engaging, and informative, making it ideal for museums and other public exhibit spaces.

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“…Regarding the user experience on intelligent environments, the authors of [Ntoa et al 2021], propose a methodological and conceptual framework to support research, design, and evaluation of user experience in intelligent environments. In their framework they explain the parameters of user experience to be evaluated, indicating how to evaluate them and when is the best time to do it.…”

Section: Related Workmentioning

confidence: 99%

Towards a Process for NFRs Evaluation in IoT Applications

Paiva

Carvalho

Andrade

2022

Anais Do XIV Simpósio Brasileiro De Computação Ubíqua E Pervasiva (SBCUP 2022)

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The Internet of Things (IoT) is a paradigm characterized by a variety of objects that interact with each other using the internet to achieve common goals. IoT applications are more and more present in our lives, either in our homes, or on the streets, or in our work environments. These applications bring new Non-Functional Requirements highly related to the user interaction quality, such as context-awareness, synchronicity, and calmness. The evaluation of these NFRs can be challenging, because we may have to take into account qualitative and quantitative aspects. In this way, the evaluators can be confused about the steps they need to follow and the best order to perform the NFRs evaluation. After conducting a systematic mapping study about the NFR evaluation in IoT applications, we could not find a process that systematizes these activities stepby-step. Therefore, this paper proposes a process for evaluating non-functional requirements in IoT applications. This process divides the quality evaluation into two aspects, qualitative and quantitative, to capture quality measurements and subjective aspects of the IoT applications. To verify whether the established process meets the evaluators' needs, we applied 2 questionnaires with the experts and, based on the obtained results, we made some adjustments and came up with a preliminary version of the process that is presented in this paper.

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User Experience Evaluation in Intelligent Environments: A Comprehensive Framework

Cited by 29 publications

References 43 publications

Six Human-Centered Artificial Intelligence Grand Challenges

Six Human-Centered Artificial Intelligence Grand Challenges

Digital Interaction with Physical Museum Artifacts

Towards a Process for NFRs Evaluation in IoT Applications

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