Last modified: 01/28/2007

AIS SIGHCI Research Resources
ICIS 2006 HCI Workshop
Abstracts

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1. Examining the Role of the Communication Channel Interface and Recipient Characteristics on Knowledge Internalization
   Christopher L. Scott and Saonee Sarker
   
   Recent reviews of the HCI literature acknowledge that the effect of the IT interface on individual learning has received limited attention in the past, and should be the focus of future research. At the same time, a review of the knowledge transfer literature also suggests a limited examination of the factors affecting the latter phase of transfer (i.e., knowledge internalization and recipient learning). The current manuscript attempts to bridge the HCI and knowledge transfer literatures by empirically examining the effect of the communication channel interface and the recipient’s characteristics on the recipient’s knowledge internalization.
   
   
2. Slacking and the Internet in the Classroom: A Preliminary Investigation
   Pamela S. Galluch and Jason Bennett Thatcher
   
   The paper investigates “slacking with Internet technologies” in a classroom environment. Rooted in the literature on social loafing, we develop a model linking attributes of the context, the individual, and technology to “intention to cyber-slack” and its influence on the effective use of Internet technology. Using data collected from 128 student respondents, we empirically test our model using the Partial Least Squares approach to structural equation modeling. Our analysis found support for many of the relationships in the theoretical model. Specifically, we found that personal innovativeness with IT and multi-tasking with Internet applications contribute to cognitive absorption, while cognitive absorption and subjective norms contributed to the intention to cyber-slack. Further, we found that intention to cyber-slack accounted for a large amount of the variance in effective use of Internet technologies. The paper concludes with a discussion of implications for research and practice.
   
   
3. A Pattern Approach to Understand Group Collaboration in Hands-on and Remote Laboratories
   Jing Ma and Jeffrey V. Nickerson
   
   We identify patterns of group collaboration within hands-on and remote laboratories. The pattern of group collaboration includes three elements: the collaboration mode, the communication medium, and the collaboration structure. In addition, we examine how patterns of group collaboration evolved during different phases of the labs. Based upon observation of 22 engineering students, we found two common patterns of the collaboration mode, in both hands-on labs and remote labs: in one case, students seem to minimize cognitive effort, and in the other, they continue to do what they have been doing before. We also described the different types of communication media and collaboration structure in the two labs. Face-to-face meetings were found to be the dominant method of group communication in both labs, but students adopted a wider variety of communication methods when working with remote labs, and they interacted more with each other when they ran remote labs.
   
   
4. Dissecting Query Performance in Logical Data Models: Parsimony vs Greater Ontological Clarity
   Ghalib Al Ma'mri, Paul L. Bowen, Fiona H. Rohde, and Laurel Yang
   
   Even when data repositories exhibit near perfect data quality, users may formulate queries that do not correspond to the information requested. User’s poor information retrieval performance may arise from either problems understanding of the data models that represent the real world systems, or their query skills. This research focuses on users’ understanding of the data structures, i.e., their ability to map the information request and the data model. The Bunge-Wand-Weber ontology was used to formulate three sets of hypotheses. Two laboratory experiments (one using a small data model and using a larger data model) tested the effect of ontological clarity on users’ performance when undertaking component, record, and aggregate level tasks. The results indicate for the hypotheses associated with different representations but equivalent semantics that parsimonious data model participants performed better for component level tasks but that ontologically clearer data model participants performed better for record and aggregate level tasks.
   
   
5. Evaluating the Use of a Visual Approach to Business Stakeholder Analysis
   Wingyan Chung
   
   As businesses increasingly use the Web to share information with stakeholders, the problems arising from information overload and interconnected nature of the Web make it difficult to obtain business intelligence (BI). This research proposes a visual approach to business stakeholder analysis that integrates information visualization and Web mining techniques with human domain knowledge. A proof-of-concept prototype was developed based on the approach to assist in analyzing and visualizing complicated stakeholder networks on the Web. We report results of an empirical evaluation comparing the prototype with a traditional method of BI analysis and discuss the implications on HCI research and BI systems development.
   
   
6. Marshalling Support: How Computer Users Negotiate Technical Problems
   Hannah Rasmussen, Nicole Haggerty, and Deborah Compeau
   
   This research-in-progress examines how individuals marshal support resources to help solve technical problems during everyday use and what consequences they experience. In a naturalized setting we seek to understand the experience of ‘computer problems’ and their consequences for how users feel and what they know about technology. We have gathered 2 weeks of daily diary data from 305 participants in one organization regarding their experiences of technical problems. We present our preliminary analysis based on a sub-sample of 45 participants for illustration with full analysis expected for the workshop. We seek to make 3 contributions: 1) offer design insight to the HCI community with respect to user technical problem solving in everyday situations; 2) contribute to the post-adoption literature by describing everyday use, and problems impacts on users; 3) provide recommendations for the crucial function of support around the design and delivery of support to maximize user outcomes.
   
   
7. The Use of the Delphi Method to Determine the Benefits of the Personas Method - An Approach to Systems Design
   Tomasz Miaskiewicz and Kenneth Kozar
   
   A persona represents a group of target users that share common behavioral characteristics. The personas method, an approach to systems design, has been receiving significant attention from practitioners. However, only anecdotal evidence currently exists for the effectiveness of personas. This research-in-progress, a Delphi study of personas experts, attempts to reach consensus on the benefits of incorporating personas into design projects. This study also lays the foundation for future research by identifying variables of interest, and building construct validity through the definitions of items given by the experts. Experimental studies will validate if groups of subjects that are provided with personas design more usable systems that groups that are given data on the target users in a non-persona form. Also, planned case studies will concentrate on studying the use of and effectiveness of personas in the organizational setting.
   
   
8. Exploring Human Images in Website Design Across Cultures: A Multi-Method Approach
   Dianne Cyr, Milena Head, Hector Larios, and Bing Pan
   
   To gain insight into how Internet users perceive human images, a controlled experiment was conducted using a survey, interviews, and an eye-tracking device. Three experimental conditions of human images were created including (1) human images with facial features; (2) human images but with no facial features; and (3) no human images. It was expected that human images with facial features would induce a user to perceive the website as more appealing, having warmth or social presence, and as more trustworthy. In turn, image appeal and perceived social presence were predicted to result in trust. All expected relationships in the model were supported except no direct relationship was found between the human image conditions and trust. Another goal of the research was to examine user reactions by cultural group, and differing reactions were observed between Canadian, German, and Japanese related to perceptions of use of human images in website design.
   
   
9. Shaping Consumer Perceptions to Motivate Online Shopping: A Prospect Theory Perspective
   Daniel Chen and Huigang Liang
   
   Drawing upon prospect theory, we propose that the framings of a message describing the benefits of online shopping will have different impacts on consumers’ attitude toward and intention of online shopping. Particularly, a negatively framed message emphasizing the costs of losing the benefits is likely to be interpreted by an individual as loss and a positively framed message emphasizing the benefits of online shopping is likely to be interpreted as a gain. According to prospect theory, the negatively framed message is more likely to increase one’s intention to shop online than the positively framed message. We also propose that such framing effect is moderated by purchase involvement. This research-in-progress paper presents the rationale behind these propositions, experimental designs to test these propositions, and the expected contributions. We contend that the findings will enhance our understanding about consumers’ online shopping and provide prescriptive knowledge regarding how to change their behavior.
   
   
10. Adaptive IT Use: Conceptualization and Measurement
    Heshan Sun and Ping Zhang
    
    IT use is an important concept both in research and in practice. Yet, IT use has been simply defined and measured in IS research. Presently, used measurements do not reflect the dynamics of users’ IT use behavior, which are important and account for job performance. This research aims at conceptualizing a new construct to capture the changes in IT use and developing an instrument for it. From an adaptive structuration perspective, we propose a new construct named Adaptive IT Use (AITU) to capture use changes in both IT feature set (size, content, and network), and the spirit of IT features. We further propose six dimensions of AITU and corresponding measuring items. After interviews and card-sorting experiments, an instrument of AITU is developed.
    
    
11. An Empirical Study of Consumer Satisfaction with Online Health Information Retrieval
    Michael Bliemel and Khaled Hassanein
    
    This research examines the area of Online Consumer Health Information Retrieval (HIR) as: “a field of study that pertains to consumers’ use of the Internet to locate and evaluate health related information, for the purposes of self education and collection of facts to enable informed decision making.” A research model exploring the antecedents of consumer satisfaction with online HIR is developed by using the constructs quality, trust beliefs and satisfaction. This model for consumer satisfaction with online HIR is quantitatively validated using structural equation modeling techniques. The findings of this research provide evidence that content quality, technical adequacy and trust beliefs explain a large proportion of the variance in satisfaction with online HIR for consumers.
    
    
12. Reducing the Perceived Deception of Product Recommendation Agents: The Impact of Perceived Verifiability and Perceived Similarity
    Bo Xiao and Chee-Wee Tan
    
    Product Recommendation Agents (PRAs) are software applications that augment consumers’ purchasing decisions by offering product recommendations based on elicited customers’ preferences. The underlying premise of PRAs is often grounded on the assumption that PRAs seek to optimize consumers’ utility by tailoring product recommendations to meet requisite expectations. Because the majority of commercial PRAs are implemented by parties with partisan interests in product sales, it is highly probable that recommendations are biased in favor of their providers and do not accurately reflect consumers’ interests. This in turn may possibly induce perceptions of deception among consumers. This study theorizes that the incorporation of IT-mediated components in PRAs, which induce high levels of perceived verifiability and perceived similarity, could mitigate consumers’ perceptions of deception towards product recommendations.
    
    
13. An Experimental Study on U-Commerce Adoption: Impact on Personalization and Privacy Concerns
    Hong Sheng, Fiona Fui-Hoon Nah, and Keng Siau
    
    U-commerce represents “anytime, anywhere” commerce. U-commerce can provide a high level of personalization, which can bring significant benefits to consumers. However, consumers’ privacy is a major concern and obstacle to the adoption of u-commerce. As customers’ intention to adopt u-commerce is based on the aggregate effect of perceived benefits and risk exposure (e.g., privacy concerns), this research examines how personalization and context can impact customers’ perceived benefits and privacy concerns, and how this aggregated effect in turn affects u-commerce adoption intention.