Do Users Really Want “Human-like” AI? The Effects of Anthropomorphism and Ego-morphism on User’s Perceived Anthropocentric Threat

This paper aims to explore the development of a perceived anthropocentric threat (PAT) arising from the advancement of AI-based assistants (AIAs) beyond human capabilities. We highlight that while anthropomorphism offers valuable insights into human-AI interaction, it provides an incomplete understanding of advanced AIAs. To address this, we introduce the concept of ego-morphism, which emphasizes AIA’s unique behavior and attributes, shifting the focus away from mere human resemblances. Building upon prior research on anthropocentrism (belief that the humans are the center of the universe), we define PAT in the context of AI’s intelligence, autonomy, and ethical aspects. The study results reveal that when users perceive AIA as possessing its own ego, they are more likely to perceive PAT, particularly in cases where AIAs violate ethical values. The findings unveil new insights into the black box phenomenon through the lens of ego-morphism and its association with PAT. These findings show that individuals favor AIAs resembling humans as long as they exhibit human-like understanding of values and norms

Finding Information Just for You: Knowledge Reuse Using Collaborative Filtering Systems

In todayís networked business environment, with the endless increase in available information, relevant information is becoming more and more difficult to find. Collaborative filtering (CF) generates recommendations for users based on othersí evaluations. CF has great potential to improve information search and knowledge reuse. Previous studies have mostly focused on the improvement of CF algorithms. Little research has been done on the effect of users and types of product domains on the performance of CF systems. In this study, four factorsóproduct domain, user characteristics, userís search mode, and number of usersó that are expected to affect the accuracy of CF systems were identified and investigated. The effects of the four factors were tested using data collected from two experiments in two different product domains: movies and research papers. It was shown that CF systems work better for knowledge-intensive domains than consumer product domains. The accuracy of CF systems is affected by usersí search mode and knowledge in a domain. This study demonstrates that CF systems have great potential in information search and customization. It also shows that a successful CF system needs to be designed to handle multiple modes of search, even within a domain and user group

Considering Cultural Differences with the Use of Twitter on a Mobile Communication Device under a Dispersed Group Collaboration Context

The impact of technology on society is clear and profound, but the influence of society on technology is more subtle. This is an empirical study about Twitter on a mobile communication device (TMCD) used in group collaboration, undertaken to ascertain and gauge the user group’s subtler exhibitions and behaviors from two opposite cultures: western and eastern. To outline TMCD impact on group communication, a baseline of online message board (OMB), a common form of computer-mediated communication (CMC), is used in a comparative analysis. A total of 167 MBA and undergraduate students from the United States and South Korea representing western and eastern cultures participated this experiment. This study revealed a mixed result in the cultural difference. In the TMCD category, the Korean groups exhibited 1) a significantly higher number of initiatory tweets and 2) a significantly higher number of tweets promoting group harmony by virtue of their agreement with each other. But the Korean groups failed to exhibit 1) a significantly higher number of friendly tweets, and 2) a significantly high level of pro-activeness by tweeting more to each other to accomplish the given task than the U.S. groups. The data analysis result and discussion are provided

Knowledge Reuse - Insights from Software Reuse

We are moving towards an economy where competitive advantage will be determined by knowledge. In their knowledge management strategies, many companies currently aim to encourage knowledge reuse. In this paper, we examine insights drawn from a related field — software reuse — for their relevance to the emerging field of knowledge reuse. We first examine different types of reuse: components, patterns, frameworks and general principles. We then evaluate different kinds of reuse activities. Finally, we discuss lessons from cultural issues in software reuse

An equilibrium displacement approach to analyzing the effects of tariff reduction on farmers' profits: The Korea-Chile FTA's effects on Korean grape producers

The present study develops an equilibrium displacement model (EDM) to evaluate the impacts of a free trade agreement (FTA) on the profits of individual farmers. The parameters representing the share of profit within revenue and the elasticity of cost with respect to quantity in the cost function play key roles in assessing the change in individual farmers' profit. The application of the developed EDM to assess the impacts of the Korea-Chile FTA indicates that this FTA has little impact on the Korean grape market and grape producers in Korea

The Effect of Reward Provision Timing in Mobile Application Platforms: A Social Exchange Theory Perspective

With the growing size of the food delivery mobile application market, reviews of restaurants are becoming more significant. As part of their marketing strategy, restaurants listed in Korean food delivery mobile applications such as Baemin and Yogiyo have come up with the Advance Review Reward Promotion (ARRP) in which rewards are given out before writing a review. Despite the perception of great loss accompanied by giving out rewards with uncertain promises from consumers, more and more restaurants are explosively expanding their ARRP, and restaurants not offering such reward promotions are considered rare. Based on extant literature, we hypothesized that the Traditional Review Reward Promotion (TRRP) in which rewards are given out after writing restaurant reviews and ARRP differ in terms of the quantity of reviews, the deviation of the quality of verbal information in reviews, and the quantity of reviews included visual information according to the timing of reward provision