Human-Computer Interaction in the Digital Economy

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    The Polite Pop-Up: An Experimental Study of Pop-Up Design Characteristics and User Experience
    ( 2020-01-07) Willermark, Sara ; Sigríður Íslind, Anna
    Pop-up boxes have been widely used to catch users’ attention and highlight specific information. Yet, according to previous research, there is a high degree of perceived irritation and dissatisfaction related to pop-ups. In this study, we explore the user experience of what is referred to as “polite pop-up,” i.e., a modal pop-up, created based on click events. The intention was to eliminate negative perceptions that pop-ups usually generate. The research method involves a constructed user test of a prototype of a website where polite pop-ups were placed in the interface. Thirteen users participated, where most of the users noticed the polite pop-up and voluntarily chose to access the information within the pop-up. The contribution includes increased insight into the relation between polite pop-up and user satisfaction, as well as design implications for user-centered design.   
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    The Effects of Ex Ante Informational Social Influence on Web Interface Design Ratings
    ( 2020-01-07) Soper, Daniel
    Virtually all studies that have hitherto considered factors that influence web interface design ratings have characterized the judge as an independent actor who performs her evaluations in an environment that is free from the effects of direct social influence. In many real-world scenarios, however, the process of assessing a web interface design occurs in a social context, and is hence potentially susceptible to a wide array of direct social influence phenomena. This study focuses on one of these phenomena – informational social influence – and demonstrates by means of a controlled, randomized experiment that judges’ opinions about a web interface can be easily manipulated. Specifically, it is shown that direct ex ante knowledge of the group opinion significantly influences judges’ web interface design ratings, with the degree of influence being, in certain circumstances, positively related to the perceived degree of similarity between the judge and the members of the group. Results are presented and discussed from the perspective of managers who are seeking to obtain unbiased assessments of their organizations’ website designs.
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    PDF Accessibility of Research Papers: What Tools are Needed for Assessment and Remediation?
    ( 2020-01-07) Jembu Rajkumar, Aravind ; Lazar, Jonathan ; Jordan, J. Bern ; Darvishy, Alireza ; Hutter, Hans-Peter
    Trillions of documents online are in PDF format, but only a small amount of these PDF documents include the necessary markup to make them accessible for people with disabilities. This paper presents the results of three related data collection efforts: a survey (with 61 participants), interviews (with 6 participants), and usability testing (with 6 participants), to learn more about what tools are needed for content contributors, to assist them in the assessment and remediation of accessibility in PDF documents. The paper provides suggested features and usability needed for software tools to support PDF document accessibility, as well as implications for content creators, scientific publishers, as well as the creator of the PDF format, Adobe.
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    Data Collection Interfaces in Online Communities: The Impact of Data Structuredness and Nature of Shared Content on Perceived Information Quality
    ( 2020-01-07) Maddah, Mahed ; Lukyanenko, Roman ; Vandermeer, Debra ; Samuel, Binny
    The growth of online communities has resulted in an increased availability of user-generated content (UGC). Given the varied sources of UGC, the quality of information it provides is a growing challenge. While many aspects of UGC have been studied, the role of data structures in gathering UGC and nature of to-be-shared content has yet to receive attention. UGC is created in online platforms with varying degrees of data structure, ranging from unstructured to highly-structured formats. These platforms are often designed without regard to how the structure of the input format impacts the quality of outcome. In this study, we investigate the impact of the degree of data structure on the perceived quality of information from the novel perspective of data creators. We also propose and evaluate a novel moderating effect due to the nature of content online users wish to share. The preliminary findings support our claims of the importance of these factors for information quality. We conclude the paper with directions for future research and expected contributions for theory and practice.
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    Harder and Smoother on Touchscreens? How Interaction Mode Affects Consumer Product Judgment 

    ( 2020-01-07) Liu, Yang ; Jiang, Zhenhui
    Emerging technologies, such as touchscreen interaction and mid-air gesture-based interaction, are changing the ways we interact with products virtually. However, despite research on how these technologies can be leveraged to improve consumers’ shopping experience, few studies have explored how they affect consumer product judgment. This study explores how two types of gesture-based human-device interaction modes (i.e., touchscreen interaction and mid-air interaction) influence consumers’ judgment on product haptic attributes (i.e., softness and roughness). Results from a lab experiment reveal that interacting with a product via touchscreen, as compared via a mid-air gesture controller, leads to a lower perception of product softness and roughness. Furthermore, such effects are more salient among users with a higher level of need for touch. The results imply that people may mistakenly use the incidental haptic experience gained from interaction device (e.g., the solid and smooth haptic experience a user feels when interacting with touchscreen surface) in product judgment although such experience is not directly related to the product being evaluated. Theoretical contributions, practical implications, and future research are discussed.
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    Introduction to the Minitrack on Human-Computer Interaction in the Digital Economy
    ( 2020-01-07) Schneider, Christoph ; Jenkins, Jeffrey ; Valacich, Joseph