Internet Privacy Concerns: A Replication and Parsimonious Extension

Privacy concerns is a widely used construct in Information Systems research. Several different conceptualizations and taxonomies have been proposed but the Internet Privacy Concerns construct by Hong & Thong (2013) offers a more comprehensive approach to integrate previous research. The Internet Privacy Concerns construct is operationalized by an 18-item scale with six sub-dimensions. The present study aims to replicate and validate the best fitting model previously identified as a third-order construct with two second-order constructs, and six first-order dimensions. In addition, this research proposes a more parsimonious three-item criterion measure of internet privacy concerns which can offer researchers a more participant-friendly approach to measuring this relevant construct in IS research. Preliminary results are presented which confirm the original model and support the new criterion measures for internet privacy concerns, called hereafter Parsimonious Internet Privacy Concerns (PIPC) scale

When Do Likes Create Bias?

The rise of online communities has ushered in a new era of content sharing with platforms that serve many functions and overcome the geographic and synchronous limitations of traditional word-of-mouth communications. Community-based question answering sites (CQA) have emerged as convenient platforms for users to exchange knowledge and opinions with others. Research on CQA has primarily focused on engaging members to voluntarily contribute to these communities. Helpfulness ratings and “likes” are one mechanism platforms can use to engage members, but these subjective evaluations can also create bias. In this ERF paper, the elaboration likelihood model is applied to better understand when bias can occur with these platforms. An experimental design and a planned data collection are reported

Motivation to Use IS: A Literature Review

Motivation to use information systems (IS) continues to be an important area of research given recent disruptive transformations in industries based on a host of new technologies and systems. Workers are increasingly called up to use these new technologies in their everyday work, regardless of background and expertise. This paper describes a literature review of research published on motivation to use IS. The endogenous motivation model is adopted to synthesize motivation constructs in the literature based on the perceived locus of causality. The review unveils actionable insights and opportunities for future research

An Empirical Investigation of Trusting Bases in Intitial Trust Formation with National Identity Systems

Recent research indicates that trust is important in helping users overcome perceptions of risk and uncertainty as well as promoting the acceptance of a specific technology. While prior studies have investigated different underlying bases of trust, little research has empirically tested all bases in one comprehensive model and evaluated the relative effect of various bases on subsequent trusting intentions. This research empirically investigates these trusting bases within an extended initial trust model in the context of a national identity (NID) system. Research on understanding the role of initial trust will not only be of assistance to the successful implementation of an NID system, but also provide guidance for understanding the role of initial trust in the deployment of other types of information systems

Gender and Personality in Media Rich Interfaces: Do Birds of a Feather Flock Together?

This research explores how user and interface characteristics can interact to influence decision performance. Specifically, this research examines the effects of gender, personality similarity, and increased levels of information cues on user involvement with a computer-based decision aid. In addition, this research explores the downstream effects of user involvement on decision time, effort, satisfaction, confidence, and quality. Findings indicate that gender has a significant influence on user involvement, and that involvement and the level of information cues provided by the decision aid have a direct influence on decision performance

Designing Interfaces with Social Presence: Using Vividness and Extraversion to Create Social Recommendation Agents

Interfaces now employ a variety of media-rich, social, and advanced decision-making components, including recommendation agents (RA) designed to assist users with their tasks. Social presence has been identified as a key consideration in website design to overcome the lack of warmth, social cues, and face-to-face interaction, but few studies have investigated the interface features that may increase social presence. Recent research on RAs has similarly acknowledged social presence as a key factor in the design of online RAs and in building trust in this technology, but there has been limited empirical work on the topic. In this study an experiment was conducted to explore how social technology cues, media capabilities, and individual differences influence social presence and trust in an RA. RA personality (extraversion), vividness (text, voice, and animation), and computer playfulness were found to influence social presence, with social presence serving in a mediating role and increasing user trust in the RA. Vividness also had a moderating effect on the relationship between RA extraversion and social presence such that increased levels of vividness strengthen this relationship

Designing Emergency Response Dispatch Systems for Better Dispatcher Performance

Emergency response systems are a relatively new and important area of research in the information systems community. While there is a growing body of literature in this research stream, human-computer interaction (HCI) issues concerning the design of emergency response system interfaces have received limited attention. Emergency responders often work in time pressured situations and depend on fast access to key information. One of the problems studied in HCI research is the design of interfaces to improve user information selection and processing performance. Based on cue-summation theory and research findings on parallel processing, associative processing, and hemispheric differences in information processing, this study proposes that information selection of target information in an emergency response dispatch application can be improved by using supplementary cues. Color-coding and sorting are proposed as relevant cues that can improve processing performance by providing prioritization heuristics. An experimental emergency response dispatch application is developed, and user performance is tested under conditions of varying complexity and time pressure. The results suggest that supplementary cues significantly improve performance, with better results often obtained when both cues are used. Additionally, the use of these cues becomes more beneficial as time pressure and task complexity increase

A Look at How Levels of Vividness and Social Presence Affect Trust in a Decision Aid

Building on past research on trust and social presence, this study explores how multimedia vividness and social presence affect trusting beliefs and subsequently trusting intentions of a computer-based decision aid. An experiment involving 550 subjects examines the effect that decision aid personality and increased levels of vividness (text, voice, and animation) have on social presence, and downstream trust-related constructs including trusting beliefs and trusting intentions. The effect of a user’s computer playfulness on social presence is also investigated. Past research on trust and social presence provide the theoretical foundation for the study and suggest that increased vividness may moderate the effect of decision aid personality on perceptions of social presence, with social presence consequently affecting trusting beliefs

Designing Emergency Response Applications for Better Performance

Emergency responders often work in time pressured situations and depend on fast access to key information. One of the problems studied in human-computer interaction (HCI) research is the design of interfaces to improve user information selection and processing performance. Based on prior research findings this study proposes that information selection of target information in emergency response applications can be improved by using supplementary cues. The research is motivated by cue-summation theory and research findings on parallel and associative processing. Color-coding and location-ordering are proposed as relevant cues that can improve ERS processing performance by providing prioritization heuristics. An experimental ERS is developed users’ performance is tested under conditions of varying complexity and time pressure. The results suggest that supplementary cues significantly improve performance, with the best results obtained when both cues are used. Additionally, the use of these cues becomes more beneficial as time pressure and complexity increase