Xiangmin Zhang

Xiangmin Zhang
Wayne State University | WSU · School of Information Sciences

About

64
Publications
8,409
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
1,063
Citations
Citations since 2016
12 Research Items
554 Citations
2016201720182019202020212022020406080100
2016201720182019202020212022020406080100
2016201720182019202020212022020406080100
2016201720182019202020212022020406080100

Publications

Publications (64)
Article
Full-text available
The use of personal voice-assistants like Amazon Alexa and Google Assistant has been on the rise recently. To ensure a long-term success and widespread diffusion of these products it is important to evaluate their continued usage scenario instead of the initial adoption intention. Majority of research evaluating the continuance usage scenario do so...
Article
Full-text available
Consumer Internet of Things (CIoT) is an emerging area being represented by a variety of smart consumer electronic (CE) devices. Often times, there are significant security and privacy issues with these devices, which are unknown to the users when they decide to purchase. While existing CE literatures have investigated the technical aspects of secu...
Article
With the advent of various Internet of Things (IoT) technologies, smart-homes have become an important application area. However, the low end-user penetration of the smart-home market as of 2021 points out towards the fact that the users are resistant to use home IoT and smart-home solutions. Privacy concerns is an important factor that hinders the...
Article
Full-text available
This work proposes a theoretical framework for explaining the end users’ willingness to disclose their personal information to the IoT service providers, despite the known privacy risks. The Communication Privacy Management Theory and Privacy Trust Behavioral Intention Model are used as the backbone for the presented framework. The model is empiric...
Article
Full-text available
A rapid growth in the smart-wearable industry is making it increasingly important to cater to the Quality of Experience (QoE) requirements of the end-users. In this work, we try to model the relationship between human experience and quality perception in relation to the smart-wearable segment. For this, the concepts of Quality of Data (QoD) and Qua...
Article
It is a frequently seen scenario that when people are not familiar with their search topics, they use a simple keyword search, which leads to a large amount of search results in multiple pages. This makes it difficult for users to pick relevant documents, especially given that they are not knowledgeable of the topics. To explore how systems can bet...
Article
In this paper, we explore the effects of objective task difficulty and domain knowledge on users' query formulation behaviors. The dataset from a user experiment was used in this research, which focused on the medical domain. The objective difficulty was measured by the precision level of search topics (as queries) in the search system, and searche...
Conference Paper
Full-text available
This research investigates the user’s learning during interactive searching process, to find out what search behaviors would be associated with the user’s perceived learning, and whether or not the user’s perceived learning could be reflected in the existing search performance measures, so that such measures could also be used for indicating learni...
Article
User domain knowledge affects search behaviors and search success. Predicting a user's knowledge level from implicit evidence such as search behaviors could allow an adaptive information retrieval system to better personalize its interaction with users. This study examines whether user domain knowledge can be predicted from search behaviors by appl...
Article
One intended use of search systems is to learn about a subject topic through searching. How do people feel about learning when they use search systems? This study investigates the factors that are associated with people's perceived learning during searching. An experiment with 35 participants was conducted and Pearson correlation analysis was appli...
Article
The acquisition of information and the search interaction process is influenced strongly by a person’s use of their knowledge of the domain and the task. In this paper we show that a user’s level of domain knowledge can be inferred from their interactive search behaviors without considering the content of queries or documents. A technique is presen...
Article
This paper examines the changes of information searchers’ topic knowledge levels in the process of completing information tasks. Multi-session tasks were used in the study, which enables the convenience of eliciting users’ topic knowledge during their process of completing the whole tasks. The study was a 3-session laboratory experiment with 24 par...
Article
This article presents a user study showing the effectiveness of a linked-based, virtual integration infrastructure that gives users access to relevant online resources, empowering them to design an information-seeking path that is specifically relevant to their context. IntegraL provides a lightweight approach to improve and augment search function...
Conference Paper
Full-text available
This study investigated how the level of a user’s domain knowledge affected the user’s performance and perception of a knowledge domain visualization system called CiteSpace. Sixteen graduate and sixteen undergraduate students participated in a within-subjects user-centered experiment in a US university. Each of them conducted eight searching tasks...
Article
Domain knowledge affects search success and behaviors but different aspects of domain knowledge, i.e., topic knowledge and background knowledge, has not normally been distinguished. We were interested in finding out if the two would have different effects on search performance for typical research search tasks, and we report empirical evidence from...
Article
We report on an investigation of behavioral differences between users in difficult and easy search tasks. Behavioral factors that can be used in real-time to predict task difficulty are identified. User data was collected in a controlled lab experiment (n=38) where each participant completed four search tasks in the genomics domain. We looked at us...
Article
This study investigated into the effects of the "Advanced search" feature of three digital libraries on users' search performance and search efforts. Three operational digital libraries, i.e., the ACM digital library, the IEEE Computer Society digital library, and the IEEE Xplore digital library, were used in this study. Thirty-five students partic...
Article
This study explores the effect of task difficulty on search behavior changes for users with high and low domain knowledge. A user experiment (n=40) was conducted using 5 search tasks. Participants rated their knowledge of MeSH terms (n=409) and were divided into two domain knowledge levels. Three of the tasks were designed to be difficult tasks wit...
Article
Full-text available
Introduction. This study investigated the effect of cognitive styles on users' information- seeking task performance using a knowledge domain information visualization system called CiteSpace. Method. Sixteen graduate students participated in a user experiment. Each completed an extended cognitive style analysis wholistic-analytic test (the Extende...
Article
a b s t r a c t We report on an investigation into people's behaviors on information search tasks, specifically the rela-tion between eye movement patterns and task characteristics. We conducted two independent user stud-ies (n = 32 and n = 40), one with journalism tasks and the other with genomics tasks. The tasks were constructed to represent inf...
Conference Paper
This paper presents a modeling strategy for an intelligence sensor system, or i-Sensor, which can comprehend human's virtual dialogues in Computer Mediated Communications (CMC) and process those dialogues to understand trustworthiness detected among humans in a virtual collaborative group. The model proposed here is built on research that demonstra...
Conference Paper
Click through events in search results pages (SERPs) are not reliable implicit indicators of document relevance. A user's task and domain knowledge are key factors in recognition and link selection and the most useful SERP document links may be those that best match the user's domain knowledge. User study participants rated their knowledge of genom...
Conference Paper
This study uses regression modeling to predict a user's domain knowledge level (DK) from implicit evidence provided by certain search behaviors. A user study (n=35) with recall-oriented search tasks in the genomic domain was conducted. A number of regression models of a person's DK, were generated using different behavior variable selection methods...
Article
Self-assessment of topic/task knowledge is a human metacognitive capacity that impacts information behavior, for example through selection of learning and search strategies. It is often used as a measure in experiments for evaluation of results and those measurements are taken to be generally reliable. We conducted a user study (n=40) to test this...
Conference Paper
Full-text available
Personalization of information retrieval tailors search towards individual users to meet their particular information needs by taking into account information about users and their contexts, often through implicit sources of evidence such as user behaviors. Task types have been shown to influence search behaviors including usefulness judgments. Thi...
Conference Paper
Full-text available
Motivation -- On-the-task detection of the task type and task attributes can benefit personalization and adaptation of information systems. Research approach -- A web-based information search experiment was conducted with 32 participants using a multi-stream logging system. The realistic tasks were related directly to the backgrounds of the partici...
Article
In this study, we tested how users perceived differently between an information visualization system and a text information retrieval system. A between-subjects user-centered experiment was conducted and 32 subjects participated in this study. The CiteSpace system and the Web of Science system were compared, with the former focuses on visualization...
Conference Paper
This paper presents an experiment and analysis system framework that allows researchers to design and conduct interactive experiments and analyze data for the evaluation of contextual relationships.
Article
The dominance of the Internet in our lives sees permanent changes of how marketers conduct their marketing and measure their marketing performance. Traditional measurement methods fall short for not being timely and effective. In this study, we propose the use of Web data, in a quantitative metric, to assess market impact of brands. The metric cons...
Article
We examine in this paper how need for cognition (NFC), one of the personal characteristics, affects search performance in two aspects: effectiveness measured by precision and efficiency measured by search time. Forty participants were invited individually to an on-campus usability laboratory for the study. Each was asked to perform two search tasks...
Conference Paper
Full-text available
This paper reports a usability evaluation of three operational digital libraries (DLs): the ACM DL, the IEEE Computer Society DL, and the IEEE Xplore DL. An experiment was conducted in a usability lab and 35 participants completed the assigned tasks. The results demonstrate that all three DLs have more or less usability problems by various measures...
Article
Full-text available
The purpose of an information retrieval (IR) system is to help users accomplish a task. IR system evaluation should consider both task success and the value of support given over the entire information seeking episode. Relevance-based measurements fail to address these requirements. In this paper, usefulness is proposed as a basis for IR evaluation...
Article
Interface design includes two aspects: interaction design and presentation design, but there have not been many works examining the effect of these two aspects on user satisfaction with the system. We conducted a comparison study analyzing user satisfaction with system features in three digital libraries: ACM Digital Library, IEEE Xplore Digital Li...
Article
The objective of this research was to examine the effect of major metadata fields on fielded searching in digital libraries. The effectiveness of title, abstract plus full-text was investigated in an IEEE Xplore test bed. Weights on the three components were varied in five schemes (i.e. five runs) to retrieve relevant documents for twenty different...
Article
Purpose This study aims to investigate the effects of different search and browse features in digital libraries (DLs) on task interactions, and what features would lead to poor user experience. Design/methodology/approach Three operational DLs: ACM, IEEE CS, and IEEE Xplore are used in this study. These three DLs present different features in thei...
Article
Full-text available
This study investigated use of collaborative recommendations in web searching. An experimental system was designed. In the experimental system, recommendations were generated in a group report format, including items judged relevant by previous users, search queries and the URLs of documents. The study explored how users used these items, the effec...
Article
This case study explores how trained and untrained searchers interact with search features in a digital library. Thirty five trained and untrained searchers completed the experiment. The results indicate that the usage of the search modes is significantly associated with the participants' search training background. The study also suggests that the...
Article
This paper describes a prototype user interface system, CIRR tool, which allows searchers to share their relevance judgments, search queries, and search results by providing a system Task Console with a “Group Report” feature. The system was developed based on the assumption that knowledge sharing in information retrieval (IR) is helpful and import...
Conference Paper
This study investigates the impact of different search feature designs in DLs on user search experience. The results indicate that the impact is significant in terms of the number of queries issued, search steps, zero-hits pages returned, and search errors.
Article
Purpose – The purpose of this paper is to examine changes in relevance assessments, specifically the selection of relevance criteria by subjects as they move through the information search process. Design/methodology/approach – The paper examines the relevance criteria choices of 39 subjects in relation to search stage. Subjects were assigned a sp...
Article
Information architecture (IA) has been a hot topic in recent years. However, what constitutes IA is still being debated. While this study seeks to explore IA curricula and the perspective of educators, it does not attempt to define IA. Research undertaken for this paper centered on the examination of IA courses offered in North American universitie...
Article
The thesis puts forward a method of separation of user interface components to improve the validity and reliability in user interface design. It interprets the advantages of introducing this idea into user interface design and how to separate the user interface components. The thesis focuses on security design of dynamic interface tree based on thi...
Article
Stereotyping is a technique used in many information systems to represent user groups and/or to generate initial individual user models. However, there has been a lack of evidence on the accuracy of their use in representing users. We propose a formal evaluation method to test the accuracy or homogeneity of the stereotypes that are based on users'...
Conference Paper
Full-text available
Text classification is still an important problem for unlabeled text; CiteSeer, a computer science document search engine, uses automatic text classification methods for document indexing. Text classification uses a document's original text words as the primary feature representation. However, such representation usually comes with high dimensional...
Conference Paper
Full-text available
Different types of knowledge have been found important for a successful search. We designed a user interface: CIRR tool (Collaborative Information Retrieval Research) that supports sharing of search results as well as search queries (knowledge of finding the relevant items). We conducted a pilot study to explore what factors would affect the use of...
Article
Introduction. This study sought to answer three questions: 1) Would the level of domain knowledge significantly affect the user's search behavior? 2) Would the level of domain knowledge significantly affect search effectiveness, and 3).What would be the relationship between search behaviour and search effectiveness? Method. Participants were asked...
Technical Report
Full-text available
The goal of our work in the HARD track was to test techniques for using knowledge about various aspects of the information seeker's context to improve IR system performance. We were particularly concerned with such knowledge which could be gained through implicit sources of evidence, rather than explicit questioning of the information seeker. We th...
Conference Paper
Full-text available
2.1 Introduction and hypotheses The goal of our work in the HARD track was to test techniques for using knowledge about various aspects of the information seeker's context to improve IR system performance. We were particularly concerned with such knowledge which could be gained through implicit sources of evidence, rather than explicit questioning...
Article
Relevance judgment has traditionally been considered a personal and subjective matter. A user's search and the search result are treated as an isolated event. To consider the collaborative nature of information retrieval (IR) in a group/organization or even societal context, this article proposes a method that measures relevance based on group/peer...
Article
This article reports the results of a study that investigated effects of four user characteristics on users' mental models of information retrieval systems: educational and professional status, first language, academic background, and computer experience. The repertory grid technique was used in the study. Using this method, important components of...
Article
This essential Java 2 book covers Java's security mechanisms and teaches you how to work with them. It discusses class loaders, security managers, access lists, digital signatures, and authentication and shows how to use these to create and enforce your own security policy.
Article
This article reports the results of a study that investigated effects of four user characteristics on users' mental models of information retrieval systems: educational and professional status, first language, academic background, and computer experience. The repertory grid technique was used in the study. Using this method, important components of...
Article
Full-text available
We believe that knowledge of the user's context is vital to personalizing information retrieval (IR) interaction, and furthermore, that such knowledge is best obtained through implicit sources of evidence, e. g. inferences made on the basis of the user's past or current behaviors. We further believe that it is now well past time to test whether suc...
Article
This paper proposes to use the discriminant analysis technique as a machine learning method to adjust memberships of stereotypes, based on the user's in-depth, task-related knowledge contained in the user models. The paper reports an empirical study on the user stereotypes of information retrieval (IR) systems. The participants were first assigned...
Article
Thesis (Ph. D.)--University of Toronto, 1998. Includes bibliographical references (leaves [151]-161). Photocopy. s

Network

Cited By