Building Adaptive Accessible Context-Aware for User Interface Tailored to Disable Users

Zouhaier, Lamia; Hlaoui, Yousra Bendaly; Ayed, Leila Jemni Ben

doi:10.1109/compsacw.2013.39

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…What makes AI different and distinctly difficult to prototype? Equally important, designers routinely choreograph complex, dynamic, sometimes unpredictable interactions, with a focus on mitigating technologies' unintended consequences (e.g., [61]). What makes AI interactions particularly difficult to sketch?…”

Section: Introductionmentioning

confidence: 99%

Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design

Yang

Steinfeld

Rosé

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

336

182

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Artificial Intelligence (AI) plays an increasingly important role in improving HCI and user experience. Yet many challenges persist in designing and innovating valuable human-AI interactions. For example, AI systems can make unpredictable errors, and these errors damage UX and even lead to undesired societal impact. However, HCI routinely grapples with complex technologies and mitigates their unintended consequences. What makes AI different? What makes human-AI interaction appear particularly difficult to design? This paper investigates these questions. We synthesize prior research, our own design and research experience, and our observations when teaching human-AI interaction. We identify two sources of AI's distinctive design challenges: 1) uncertainty surrounding AI's capabilities, 2) AI's output complexity, spanning from simple to adaptive complex. We identify four levels of AI systems. On each level, designers encounter a different subset of the design challenges. We demonstrate how these findings reveal new insights for designers, researchers, and design tool makers in productively addressing the challenges of human-AI interaction going forward.

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Section: Introductionmentioning

confidence: 99%

Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design

Yang

Steinfeld

Rosé

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

336

182

View full text Add to dashboard Cite

show abstract

“…Likewise, Ansah and Bamfo-Agyei (2014) discussed the adequacy of the building facilities available to disabled people at the University of Cape Coast. Again, Zouhaier et al (2013) talked about software installations tailored to the advantage of disabled users. These revelations present a research gap that makes it imperative to investigate the compliance level of disabled access to building facilities, especially that of the institution of higher education since they are critical players in the design and supervision of infrastructure construction.…”

Section: Introductionmentioning

confidence: 99%

“…Likewise, Ansah and Bamfo-Agyei (2014) discussed the adequacy of the building facilities available to disabled people at the University of Cape Coast. Again, Zouhaier et al. (2013) talked about software installations tailored to the advantage of disabled users.…”

Section: Introductionmentioning

confidence: 99%

Disable access compliance to university infrastructure: built environment students’ perceptions

Amoah

Bamfo-Agyei

Simpeh³

2023

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PurposeHigher education institutions are the citadel of knowledge and are heavily involved in formulating building regulations and building infrastructure designs that must conform to the building regulations. The study aims to identify university infrastructures compliant with disabled access from the perspective of the built environment students in Ghanaian universities.Design/methodology/approachQuestionnaire surveys were administered to 500 built environment students across ten technical universities in Ghana with a total population of 3066; 341 were expected based on the formula used. However, upon several reminders, 176 responded. Data collected were analysed using Statistical Package for the Social Sciences.FindingsThe findings show that all university facilities are not fully compliant with disabled access. Structures found to be least compliant are the laboratories, canteens, hall of residence, toilet facilities, football fields, places of worship and transport stations. The facilities with high compliance are the administration block, library, hospital building, lecture halls, department offices and ATM areas. The leading causes for this non-compliant are lack of enforcement of the building regulations, low level of disabled students’ enrolment, age of the building, lack of knowledge and poor building designs.Practical implicationsCompliance with disabled access makes universities world class and creates safe learning spaces for individuals with disabilities, enforcing the right to education for all individuals, particularly those with disabilities. Lack of compliance with disabled access will hamper the full utilisation of these facilities, thereby affecting quality education delivery to people with disabilities.Originality/valueThe findings are essential to the Ghanaian built environment, the lives of disabled individuals and universities. The results provide knowledge on areas of improvement for complete access to structures and facilities by disabled individuals.

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“…Context-aware human-computer interface makes mobile LBS interaction more natural and efficient which is able to adapt to different users' characters and requirements by taking advantage of usable information about users' tasks (e.g., locations and preferences of users, experiences, and surrounding environments). Many of these adaptive interfaces serve specific users, such as the interface which Cao designed for children that apply cartoon-icon in 2007 [1] and the user interface adaptation proposed by Zouhaier et al which is based on context awareness for disabled people in 2013 [2], for the characters of specific users are obvious. And these researches are based on the human-computer interaction model which describes the characteristics of the interaction process between human and machine.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Context-Aware and Adaptive Interface for Mobile LBS

Feng

Liu

2015

Computational Intelligence and Neuroscience

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Context-aware user interface plays an important role in many human-computer Interaction tasks of location based services. Although spatial models for context-aware systems have been studied extensively, how to locate specific spatial information for users is still not well resolved, which is important in the mobile environment where location based services users are impeded by device limitations. Better context-aware human-computer interaction models of mobile location based services are needed not just to predict performance outcomes, such as whether people will be able to find the information needed to complete a human-computer interaction task, but to understand human processes that interact in spatial query, which will in turn inform the detailed design of better user interfaces in mobile location based services. In this study, a context-aware adaptive model for mobile location based services interface is proposed, which contains three major sections: purpose, adjustment, and adaptation. Based on this model we try to describe the process of user operation and interface adaptation clearly through the dynamic interaction between users and the interface. Then we show how the model applies users' demands in a complicated environment and suggested the feasibility by the experimental results.

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Building Adaptive Accessible Context-Aware for User Interface Tailored to Disable Users

Cited by 6 publications

References 8 publications

Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design

Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design

Disable access compliance to university infrastructure: built environment students’ perceptions

Intelligent Context-Aware and Adaptive Interface for Mobile LBS

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