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Design and implementation of algorithm recommended by new users based on Mahout
Published in Amir Hussain, Mirjana Ivanovic, Electronics, Communications and Networks IV, 2015
With the rapid development of information technology and network technology, as well as the rise of cloud computing, mobile Internet and Internet of things and other technologies, the data continues to grow and accumulate at an unprecedented speed. It is difficult for people to obtain accurate information meeting their own needs, thus giving rise to the problem of "information overload". Therefore, people put forward the concept of "personalized services"(Zeng et al. 2002, Adomavicius & Tuzhilin 2005) to provide different services or information contents for different users. As an important branch of the research field of personalized service, recommender systems (Adomavicius & Tuzhilin 2005, Ricci et al. 2011, Xu et al. 2009, Liu et al. 2009) help users find the projects which they may be interested in from a lot of data through digging the binary relations between the users and projects, and generate personalized recommendation to meet individual needs.
Systems That Adapt to Their Users
Published in Julie A. Jacko, The Human–Computer Interaction Handbook, 2012
Anthony Jameson, Krzysztof Z. Gajos
This information overload constitutes a powerful motivation for the development of systems that adapt to their users: computers have the technical capability to reduce the information tsunami to a trickle that people can manage; but since people are generally not interested in the same trickle, computers can do so effectively only by taking into account properties of the user such as their interests, current tasks, and context.
Older Adults’ Interaction With Intelligent Virtual Assistants: The Role of Information Modality and Feedback
Published in International Journal of Human–Computer Interaction, 2023
Na Liu, Quanlin Pu, Yan Shi, Shengtai Zhang, Luyi Qiu
This study provides several practical implications related to the design of information presentation and information feedback. First, IVA developers and providers should realize the important role of information modality in providing information for older adults. The amount of information supplied by information technology and intelligent devices is considerably huge, causing information overload for users. One manifestation of smart device’s intelligence and automation is to present and filter information for users effectively (Jianan & Abas, 2020; Wang & Yan, 2019). The ability of older adults to ignore irrelevant and complicated information, information processing speed, and cognitive resource capacity decrease (Balota et al., 2000; Kahneman, 1973; Salthouse, 1996). Older adults may need to be provided with redundant information, such as providing parallel visual and auditory presentation, to compensate for the losses in hearing acuity and lower rate of information processing (Fisk et al., 2009). This study showed that providing semantically consistent, time-synchronized, and brief contents in visual-auditory bimodality has proven to be a more satisfying, enjoyable, and acceptable means for older adults. Thus, along with the popularity of IVAs in people’s daily life, IVA developers and manufacturers should focus on the role of IVAs in aiding and supporting the older adults in performing tasks, such as information inquiry and health management, and design products that better meet the requirements of the older adults.
Effects of social networking site overloads on discontinuous intentions of users: a moderated mediation analysis
Published in Behaviour & Information Technology, 2022
Sara Qaisar, Jianxun Chu, Zakir Shah, Zameer Hassan
Previous studies found that information overload negatively affects human behaviour, feelings and health (Jackson et al. 2008; Karr-Wisniewski and Lu 2010; Stokols et al. 2009). Similarly, information overload can lead to negative psychological consequences such as stress, dissatisfaction and exhaustion as well as distract users from their daily routine activities (Eppler and Mengis 2004; Swar, Hameed, and Reychav 2017). Lee et al.,(2016) found that information overload leads to SNS fatigue. SNS fatigue is defined as subjective feelings of tiredness, discomfort, decreased motivation and boredom from excessive SNS usage (Lee, Son, and Kim 2016; Zhu and Bao 2018). Certain studies have identified SNS fatigue as a psychological factor and evaluated it as a feeling of exhaustion (Bright, Kleiser, and Grau 2015; Potempa et al. 1986). Kim, Park, and Choi (2019) claimed that the unnecessary information available on SNSs beyond the cognitive limit of an individual to manage or process can cause fatigue. Therefore, users who deal with excessive information available on SNSs can easily get overwhelmed and feel fatigue. Thus, the study posited the following hypothesis H6: Information overload positively influence SNS fatigue
Evolutionary game analysis of pedestrian-autonomous vehicle interactions at unsignalized road sections: a policy intervention perspective
Published in Transportation Letters, 2022
Rong Rui, Xusheng Yao, Shunqiang Ye, Shoufeng Ma
Therefore, the differences between the eigenvalues of the base model and extension model are all negative, which means that the eigenvalues of the extension model are greater than those of the base model. Greater eigenvalues indicate that equilibrium will be more difficult to realize since the conditions for reaching equilibrium are more stringent. We believe that the reason is the introduction of collision probability information. Information overload theory can be adopted to explain such results (Hiltz and Turoff 1985; Rogers and Agarwala-Rogers 1975; Whittaker et al. 2003). Information overload refers to the state of breakdown when not all information can be recognized and processed. The individual (or system) will not be able to respond correctly if too much information is delivered, especially in a quick decision-making process. In the extension model, it is not necessarily good for pedestrians and AVs to know the collision probability. Specifically, such information may affect the decision-making process and interfere with pedestrians and AVs making compromise decisions. With too many factors to consider, it is possible for both sides to make a different choice. Therefore, we conclude that in our extension model, equilibrium is more difficult to realize as a possible result of information overload.