1,919 research outputs found

    Towards Understanding the Influence of Nature Imagery in User Interface Design: A Review of the Literature

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    Nature imagery is frequently employed as a design element to improve how users experience interactions with computerized artifacts such as websites and mobile apps. However, literature on the influence of such imagery on human perception and behavior is scant and highly fragmented. In this paper, we develop a theoretical framework that integrates the different pathways for how nature imagery embedded in user interface design may affect user perception and behavior. Building on this framework, we synthesize the results of existing literature on how humans perceive nature imagery and the potential cognitive, affective, and behavioral responses. By providing a concise overview of key theories and results of the extant literature, this study contributes to the knowledge base of (1) scholars who theorize on the impact of nature imagery on user perception and behavior and (2) systems designers who intend to utilize nature imagery in their user interfaces

    Humanized Recommender Systems: State-of-the-art and Research Issues

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    Designing an Educational and Intelligent Human-Computer Interface for Older Adults

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    As computing devices continue to become more heavily integrated into our lives, proper design of human-computer interfaces becomes a more important topic of discussion. Efficient and useful human-computer interfaces need to take into account the abilities of the humans who will be using such interfaces, and adapt to difficulties that different users may face – such as the particular difficulties older users must face. However, various issues in the design of human-computer interfaces for older users yet exist: a wide variance of ability is displayed by older adults, which can be difficult to design for. Motions and notions found intuitive by younger users can be anything but for the older user. Properly-designed devices must also assist without injuring the pride and independence of the users – thus, it’s understood that devices designed “for the elderly” may encounter a poor reception when introduced to the ageing community. Affective computing gives current researchers in HCI a useful opportunity to develop applications with interfaces that detect mood and attention via nonverbal cues and take appropriate actions accordingly. Current work in affective computing applications with older adult users points to possibilities reducing feelings of loneliness in the older adult population via these affective applications. However, we believe that everyday applications – such as chat programs or operating systems – can also take advantage of affective computing principles to make themselves more accessible for older adults, via communication enhancement. In this thesis, we document a variety of work in the field of developing human-computer interfaces for the older adult user, and the various requirements each of these studies confirm regarding human-computer interaction design for the elderly. We then explain how integration of affective computing can positively affect these designs, and outline a design approach for proper human-computer interfaces for the elderly which take into account affective computing principles. We then develop a case study around a chat application – ChitChat – which takes these principles and guidelines into account from the beginning, and give several examples of real-world applications also built with these guidelines. Finally, we conclude by summarizing the broader impacts of this work
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