The Effects of Engaging and Affective Behaviors of Virtual Agents in Group Decision-Making

Virtual agents (VAs) need to exhibit engaged and affective behavior in order to become more effective social actors in our daily lives. However, such behaviors need to conform to social norms, especially in organizational settings. This study examines how different VA behaviors influence subjects' perceptions and actions in group decision-making processes. Participants exposed to VAs demonstrated varying levels of engagement and affective behavior during the group discussions. Engagement refers to the VA's focus on the group task, while affective behavior represents the VA's emotional state. The findings indicate that VA engagement positively influences user behavior, particularly in attention allocation. However, it has minimal impact on subjective perception. Conversely, affective expressions of VAs have a negative impact on subjective perceptions, such as social presence, social influence, and trustworthiness. Interestingly, in 64 discussions for tasks, only seven showed a decline in group scores compared to individual scores, and in six of these cases, the VA exhibited a non-engaged and affective state. We discuss the results and the potential implications for future research on using VAs in group meetings. It provides valuable insights for improving VA behavior as a team member in group decision-making scenarios and guides VA design in organizational contexts.Comment: Under Review. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessibl

Are bullies more productive? Empirical study of affectiveness vs. issue fixing time

Human Affectiveness, i.e., The emotional state of a person, plays a crucial role in many domains where it can make or break a team's ability to produce successful products. Software development is a collaborative activity as well, yet there is little information on how affectiveness impacts software productivity. As a first measure of this impact, this paper analyzes the relation between sentiment, emotions and politeness of developers in more than 560K Jira comments with the time to fix a Jira issue. We found that the happier developers are (expressing emotions such as JOY and LOVE in their comments), the shorter the issue fixing time is likely to be. In contrast, negative emotions such as SADNESS, are linked with longer issue fixing time. Politeness plays a more complex role and we empirically analyze its impact on developers' productivity

The Image of Taiwan as a Travel Destination: Perspectives from Mainland China

This study presents the perceived and projected image of Taiwan as a travel destination from perspectives from Mainland China. The perceived image of Taiwan was examined by interviewing 28 Mainland Chinese; the projected image of Taiwan was investigated by analyzing articles in China's most popular travel magazines. The different types of images of Taiwan among visitors, nonvisitors, and travel magazines were compared. The projected image changed notably after the opening of Taiwan's tourism to travelers from Mainland China. The results of this study could help destination marketing organizations to assess their marketing strategies for the Mainland Chinese travel market

Understanding design with VGI using an information relevance framework

Volunteered Geographic Information (VGI) has the potential to offer increased value and usability benefits to end-users over and above that of Professional Geographic Information (PGI). Using a multi-methods approach consisting of participatory observation, focus groups and diary studies, the differences between VGI and PGI are investigated in relation to the characteristics which are the most, or least relevant to an end-user community. The key finding was that the discussion amongst designers should not be whether to choose VGI or PGI as the information data set, but to consider which combination of VGI and PGI relating to different geographic features and task characteristics will best fit the user requirements. VGI is likely to be most relevant to the user when a geographic features is dynamic rather than static in nature These findings have implications for how different forms of information may be most effectively utilised within different usage situations. Above all, a case is presented for the implementation of User Centred Design principals when integrating VGI and PGI together in a single mashup based product to maximise benefit to the end user

Dynamic aspects of relevance : differences in users' relevance criteria between selecting and viewing videos during leisure searches

Introduction. Previous research has investigated the dynamic use of relevance criteria at different stages of the search process. These previous studies have been focused on academic contexts with the result that little is known about the dynamic aspects of relevance criteria use in leisure contexts, specifically for video content. This paper examines the differences in relevance criteria at the stages of selecting and viewing videos for leisure purposes. Method. Twenty-four participants were asked to search YouTube for leisure purposes followed by a semi-structured interview to elicit relevance criteria usage. Analysis. Qualitative content analysis was applied on the data to discover relevance criteria applied in each search stage. Chi-squared tests were carried out to examine significant differences between the stages. Results. Findings showed significant differences between selecting and viewing stages in term of the use of relevance criteria with some criteria being preferred in the selection stage while others are more important at the viewing stage of video interaction. Conclusions. Understanding the changes in relevance criteria during the search process provides new insights about the dynamic aspects of relevance judgment and aids the design of information retrieval systems

Mining software repositories: measuring effectiveness and affectiveness in software systems.

Software Engineering field has many goals, among them we can certainly deal with monitoring and controlling the development process in order to meet the business requirements of the released software artifact. Software engineers need to have empirical evidence that the development process and the overall quality of software artifacts is converging to the required features. Improving the development process's Effectiveness leads to higher productivity, meaning shorter time to market, but understanding or even measuring the software de- velopment process is an hard challenge. Modern software is the result of a complex process involving many stakeholders such as product owners, quality assurance teams, project manager and, above all, developers. All these stake- holders use complex software systems for managing development process, issue tracking, code versioning, release scheduling and many other aspect concerning software development. Tools for project management and issues/bugs tracking are becoming useful for governing the development process of Open Source soft- ware. Such tools simplify the communications process among developers and ensure the scalability of a project. The more information developers are able to exchange, the clearer are the goals, and the higher is the number of developers keen on joining and actively collaborating on a project. By analyzing data stored in such systems, researchers are able to study and address questions such as: Which are the factors able to impact the software productivity? Is it possible to improve software productivity shortening the time to market?. The present work addresses two major aspect of software development pro- cess: Effectiveness and Affectiveness. By analyzing data stored in project man- agement and in issue tracking system of Open Source Communities, we mea- sured the Effectiveness as the time required to resolve an issue and analyzed factors able to impact it

Closing the loop: assisting archival appraisal and information retrieval in one sweep

In this article, we examine the similarities between the concept of appraisal, a process that takes place within the archives, and the concept of relevance judgement, a process fundamental to the evaluation of information retrieval systems. More specifically, we revisit selection criteria proposed as result of archival research, and work within the digital curation communities, and, compare them to relevance criteria as discussed within information retrieval's literature based discovery. We illustrate how closely these criteria relate to each other and discuss how understanding the relationships between the these disciplines could form a basis for proposing automated selection for archival processes and initiating multi-objective learning with respect to information retrieval