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Numerous systems have been proposed for placing songs on a map to enable music exploration, but existing systems assume that users explore alone and thus lack social interactions, which has been identified as a significant issue for these systems. ...

This study conducted a systematic review of human‐AI interaction (HAI)over the past decade for the implemented theories and scenarios, and the tested hypotheses to discover the changes in the current transition to human‐centered AI (HCAI). ...

Recent advances in interactive keypoint estimation methods have enhanced accuracy while minimizing user intervention. However, these methods require user input for error correction, which can be costly in vertebrae keypoint estimation where ...

Police investigation in real-life crime scenes is an essential aspect of forensic science education. However, the practicality of bringing young investigators to actual crime scenes is often hindered by the costs and challenges involved. In order ...

Background: early detection of dementia and Mild Cognitive Impairment (MCI) have an utmost significance nowadays, and smart conversational agents are becoming more and more capable. DigiMoCA, an Alexa-based voice application for the screening of ...$$

Community detection is a significant research area in social networks. Most methods use network topology, but combining it with user interactions improves accuracy. This paper proposes a robust method to identify communities based on the improved ...

Firm-hosted open innovation platforms (OIPs) enable multidirectional communication and interaction among users, and they have become a vital IT artifact that absorbs external resources for enterprise innovation. A key challenge for OIPs is how to ...

In recent years, live streaming has experienced rapid growth and become an influential way to engage people online. How to recommend live streams to viewers to improve user experience is the core business problem of live streaming platforms. On ...

• Developing an interaction-aware predictive framework for live stream recommendation
• Depicting the dynamics of viewer preference in the watching process
• Modeling interaction-aware preference decline pattern
• Providing explainable ...

The development of methods to reconstruct the piecewise planar structures of buildings from a single image is an important and challenging problem in the field of computer vision. Although most prior works have considered fully automatic ...

The objective of this study is to investigate user knowledge collaboration in open innovation communities, specifically focusing on the impact of knowledge exchange behavior on user knowledge output within user knowledge collaboration networks. [Methods]...

Mining interesting objects with trimap guidance and fusing multi-level features are two important issues for trimap-based matting. For feature mining, existing methods simply feed trimaps to an encoder network and mine features evenly ...

• Our TMP module novelly integrates trimap guidance into feature mining effectively.

When ontologies reach a certain size and complexity, faults such as inconsistencies, unsatisfiable classes or wrong entailments are hardly avoidable. Locating the incorrect axioms that cause these faults is a hard and time-consuming ...

User interaction plays an important role in the formation of network public opinion. Many studies have found the power-law characteristics and multimode characteristics of individual complex behavior in social network, but it is difficult to ...

Using data from a major international news organization, we investigate the effect of hiding the count of dislikes from YouTube viewers on the propensity to use the video like/dislike features. We compare one entire month of videos before (n = 478) and ...

The SAE International plays a major role in shaping research and development in the field of automated driving through its SAE J3016 automation taxonomy. Although the taxonomy contributed significantly to classification and development of ...

High-level shape understanding and technique evaluation on large repositories of 3D shapes often benefit from additional information known about the shapes. One example of such information is the semantic segmentation of a shape into ...

• The first deep learning driven active framework for segmentation of 3D collection.

There are limited studies that are addressing the challenges of visually impaired (VI) users when viewing search results on a search engine interface by using a screen reader. This study investigates the effect of providing an overview of search ...

Mental health-related illnesses like depression and anxiety have become a major concern for society. Due to social stigma and unawareness, many such patients lack proper doctors’ consultancy, diagnosis, and treatments. Many of such problems arise ...

The objective of this work was to investigate from a user perspective linkage between a 1D time-series view of data and a 2D representation provided by dimension reduction techniques. Our hypothesis is that when such interaction ...

In this paper, an approach for video popularity prediction is proposed, by combining two different methods, video content analysis, and early viewership. Firstly, a multi-modal framework is used, which analyses video content features such as the ...