Search results

Though not new to online gamers, griefing – an act of play intended to cause grief to game players – is fairly understudied in LIS scholarship. The purpose of this paper is to expand the inventory of griefing varieties, consider their deceptive elements and examine attitudes towards the phenomenon.

The authors collected and content analysed 80 (non‐elicited) posts from the Something Awful forum thread and compared them to the results of ten (elicited) e‐mail interviews.

As a complex phenomenon, griefing has multiple interpretations and opposing attitudes. The thread results show that griefers, as perpetrators, have predominantly positive or neutral attitudes towards the act. About 15 per cent of the examined griefers reportedly resort to deceptive techniques. More extravagant griefs that require verbal interactions in player‐versus‐player (PvP) online games involve deception and often fall into two categories: scamming or greed play (prioritising personal benefits). The authors found self‐reported instances of deception by scheming, luring, entrapment, pretence and verbal concealment in griefing acts. The interview respondents, as predominantly victims of griefs, do not think of griefing (or may not be aware of it) as an act of deception and primarily associate it with harassment (inciting emotional reactions) or power imposition (exerting superiority). Casual griefing – refusing to comply with the rules for mere entertainment – stands out as another griefing variety.

With the growth of popularity of video gaming, libraries are largely unaware of griefing and should be prepared to address it in video game use policies for online gaming units or tournaments. Online gaming affords a unique opportunity to examine deception in computer‐mediated human‐to‐human communication. The complexity of the phenomenon and associated opposing views are offered here to be weighted by the LIS scholars and professionals.

Conversational agents (chatbots, avatars and robots) are increasingly substituting human employees in service encounters. Their presence offers many potential benefits, but customers are reluctant to engage with them. A possible explanation is that conversational agents do not make optimal use of communicative behaviors that enhance relational outcomes. The purpose of this paper is to identify which human-like communicative behaviors used by conversational agents have positive effects on relational outcomes and which additional behaviors could be investigated in future research.

This paper presents a systematic review of 61 articles that investigated the effects of communicative behaviors used by conversational agents on relational outcomes. A taxonomy is created of all behaviors investigated in these studies, and a research agenda is constructed on the basis of an analysis of their effects and a comparison with the literature on human-to-human service encounters.

The communicative behaviors can be classified along two dimensions: modality (verbal, nonverbal, appearance) and footing (similarity, responsiveness). Regarding the research agenda, it is noteworthy that some categories of behaviors show mixed results and some behaviors that are effective in human-to-human interactions have not yet been investigated in conversational agents.

By identifying potentially effective communicative behaviors in conversational agents, this study assists managers in optimizing encounters between conversational agents and customers.

This is the first study that develops a taxonomy of communicative behaviors in conversational agents and uses it to identify avenues for future research.

This paper aims to study the role of self-concept in consumer relationships with anthropomorphised conversational artificially intelligent (AI) agents. First, the authors investigate how the self-congruence between consumer self-concept and AI and the integration of the conversational AI agent into consumer self-concept might influence such relationships. Second, the authors examine whether these links with self-concept have implications for mental well-being.

This study conducted in-depth interviews with 20 consumers who regularly use popular conversational AI agents for functional or emotional tasks. Based on a thematic analysis and an ideal-type analysis, this study derived a taxonomy of consumer–AI relationships, with self-congruence and self–AI integration as the two axes.

The findings unveil four different relationships that consumers forge with their conversational AI agents, which differ in self-congruence and self–AI integration. Both dimensions are prominent in replacement and committed relationships, where consumers rely on conversational AI agents for companionship and emotional tasks such as personal growth or as a means for overcoming past traumas. These two relationships carry well-being risks in terms of changing expectations that consumers seek to fulfil in human-to-human relationships. Conversely, in the functional relationship, the conversational AI agents are viewed as an important part of one’s professional performance; however, consumers maintain a low sense of self-congruence and distinguish themselves from the agent, also because of the fear of losing their sense of uniqueness and autonomy. Consumers in aspiring relationships rely on their agents for companionship to remedy social exclusion and loneliness, but feel this is prevented because of the agents’ technical limitations.

Although this study provides insights into the dynamics of consumer relationships with conversational AI agents, it comes with limitations. The sample of this study included users of conversational AI agents such as Siri, Google Assistant and Replika. However, future studies should also investigate other agents, such as ChatGPT. Moreover, the self-related processes studied here could be compared across public and private contexts. There is also a need to examine such complex relationships with longitudinal studies. Moreover, future research should explore how consumers’ self-concept could be negatively affected if the support provided by AI is withdrawn. Finally, this study reveals that in some cases, consumers are changing their expectations related to human-to-human relationships based on their interactions with conversational AI agents.

This study enables practitioners to identify specific anthropomorphic cues that can support the development of different types of consumer–AI relationships and to consider their consequences across a range of well-being aspects.

This research equips marketing scholars with a novel understanding of the role of self-concept in the relationships that consumers forge with popular conversational AI agents and the associated well-being implications.

This study aims to examine humans’ reactions to service robots’ display of warmth in robot-to-robot interactions – a setting in which humans’ impressions of a service robot will not only be based on what this robot does in relation to humans, but also on what it does to other robots.

Service robot display of warmth was manipulated in an experimental setting in such a way that a service robot A expressed low versus high levels of warmth in relation to another service robot B.

The results indicate that a high level of warmth expressed by robot A vis-à-vis robot B boosted humans’ overall evaluations of A, and that this influence was mediated by the perceived humanness and the perceived happiness of A.

Numerous studies have examined humans’ reactions when they interact with a service robot or other synthetic agents that provide service. Future service encounters, however, will comprise also multi-robot systems, which means that there will be many opportunities for humans to be exposed to robot-to-robot interactions. Yet, this setting has hitherto rarely been examined in the service literature.

This study explores how perceived interactivity effects in Livecommerce influences consumers' shopping intentions in live stream commerce. The authors specifically examine the mediating roles of immersion and hedonic/utilitarian gratification, as well as the moderating role of product involvement in identifying the boundary conditions.

A scenario-based online survey was conducted among American consumers via Prolific.co, an online crowdsourcing platform. The final sample included 187 respondents (male, 63.1 per cent; Caucasian, 61.5 per cent).

The results indicate that perceived interactivity significantly influenced consumers' shopping intentions. Consumers' sense of immersion and hedonic/utilitarian gratification were identified as serial mediators between perceived interactivity and consumers' shopping intentions. It was also found that individuals' product involvement moderated the serial effects of perceived interactivity on consumers' shopping intentions in live stream commerce.

This study provides empirical evidence that perceived interactivity plays an important role in creating an effectively immersive media experience in live stream commerce, which further contributes to higher shopping intentions via perceived utilitarian and hedonic gratifications. It was also found that varying levels of product involvement can have differing effects. Managerial implications are provided.

The purpose of this study is to review the extant literature on chatbots and stakeholder interactions to identify major trends and shed light on knowledge gaps.

A systematic literature review was conducted combining qualitative and quantitative approaches. A code book based on early systematic literature reviews was developed and used to extract information from 62 discrete peer-reviewed English articles. An inductive approach was used to analyse definitions of chatbots, topics, metrics, perspectives and implications.

Chatbots have been studied by many different disciplines, but not much from organizational, stakeholder and corporate communication perspectives. Existing studies focus on the technical developments of chatbots and chatbot language and conversations skills. Research has remained anchored at the micro-level understanding of the phenomenon, that is, the nature of chatbots, but has not yet taken into consideration the meso (organizational) or macro (societal) levels.

This study focused only on academic peer-reviewed papers in English and excluded conference proceeding, books, book chapters and editorials that may have offered other important and relevant reflections. The limited number of studies in communication-related disciplines shows that corporate communication scholars could contribute more to the discussion of chatbot–stakeholder interactions.

This is the first research in the field of corporate communication that examines organizational chatbot–stakeholder interactions. Results of this review offer important information on chatbots' organizational capabilities and affordances, which, arguably, must be taken into consideration when stakeholder engagement strategies are set.

This chapter explores the perceptions that custodians of African cultures such as parents, grand-parents, village chiefs, and other community leaders hold regarding what higher education institutions ought to achieve for their children, and the extent to which these final ends are being, or can be, achieved through teaching and learning in cyberspace. Using the African context of Botswana as a reference point, the chapter situates learning and teaching practices online in the context of culture. After exploring the literature on cultural worldviews, African expectations of higher education, and online pedagogy and technology, the chapter documents the understandings and perceptions of the final ends that higher education institutions ought to pursue held by 39 village chiefs, community leaders, and parents from different cultural groups and communities. Evidence from phenomenological interviews revealed that Africans held that Afro-communal purposes for higher education in which promoting virtue, supporting culture, facilitating cooperation, and contributing to socio-economic development were seen as the paramount final ends for higher education institutions. The findings support Metz’s (2019) theoretical model of the ends of African higher education institutions. The chapter argues that, for online pedagogy in African universities and colleges to be successful, it should be grounded in collectivism where emphasis is given to the use of synchronous communication systems for the delivery of learning experiences, pedagogical practices are framed within community of practice, students are exposed to education for morality to foster a deeper sense of being real humans, and a socio-economic development agenda is emphasised.

This chapter describes how conversational computer agents have been used in collaborative problem-solving environments. These agent-based systems are designed to (a) assess the students’ knowledge, skills, actions, and various other psychological states on the basis of the students’ actions and the conversational interactions, (b) generate discourse moves that are sensitive to the psychological states and the problem states, and (c) advance a solution to the problem. We describe how this was accomplished in the Programme for International Student Assessment (PISA) for Collaborative Problem Solving (CPS) in 2015. In the PISA CPS 2015 assessment, a single human test taker (15-year-old student) interacts with one, two, or three agents that stage a series of assessment episodes. This chapter proposes that this PISA framework could be extended to accommodate more open-ended natural language interaction for those languages that have developed technologies for automated computational linguistics and discourse. Two examples support this suggestion, with associated relevant empirical support. First, there is AutoTutor, an agent that collaboratively helps the student answer difficult questions and solve problems. Second, there is CPS in the context of a multi-party simulation called Land Science in which the system tracks progress and knowledge states of small groups of 3–4 students. Human mentors or computer agents prompt them to perform actions and exchange open-ended chat in a collaborative learning and problem-solving environment.

Academic libraries are experiencing numerous changes in their services due to high demands for digital resources and changes in users’ information needs and expectations. Many academic library users give preferences to Google, Google Scholar and other search engines on the internet when they search for information. As reference transactions are decreasing in many academic institutions, this paper aims to investigate the continuing need for mediated reference services in the technology-driven environment in academic libraries.

The authors have conducted a literature review to document and analyze the current trends in reference services in academic libraries. They have examined the relevant published literature through a series of reflective questions to determine whether the demise of mediated reference services is imminent in academic libraries. While this literature review is by no means an exhaustive one, the authors have provided a fairly comprehensive representation of articles to synthesize an overview of the history, evolution, and current trends of reference services in academic libraries.

This paper clearly demonstrates the importance of human-mediated reference services in academic libraries. It reinforces the need for skilled, knowledgeable professional librarians to provide effective and efficient reference services in a digital environment.

This paper provides a comprehensive overview of current trends in reference services in academic libraries and analyzes the merits and demerits of these trends to establish the need for mediated reference services in academic libraries. The arguments used in this paper will be useful for library and informational professionals as validation for the need to hire skilled, knowledgeable reference librarians to provide reference services in a digital environment.

This paper critically looks at the current trends and practices in reference services through the published literature to determine the future need for mediated reference services in academic libraries. It offers important insights to demonstrate why professional librarians’ skills, knowledge and expertise are essential to provide efficient reference services in the digital age.

The purpose of this paper is to advance an understanding of the concept of advice and its relationship to documents, information and knowledge.

A conceptual analysis of a sample of 48 relevant advice studies and two books, directly informed by documentation and information theories, was conducted to find out how researchers have approached advice conceptually since 1940. Further gains in understanding advice came from analyzing its relationship with environmental uncertainty.

Researchers have studied advice in the context of human-human, machine-machine and information and communication technology-intermediated interactions. Advice has been conceptualized and categorized in many different ways. Over time, conceptualizations of advice have broadened and become more general. In this light, it is theorized that advice is as an information object targeted at an unmade decision. This conceptualization of advice permits situated and momentary advice documents. A newly developed content-based framework of advice leads to an advice typology with four content-based categories of best possible advice: correct answers, probabilities, possibilities, and acknowledgments of the unknown.

The refined advice theory, content-based advice framework and related typology of advice contributed here are small steps toward improved clarity about the nature of advice. These findings are limited in their focus to advice theory and advice categorization.

Scholars, practitioners and information system developers may reconsider advice theory and make use of the content-based framework and related advice typology in their work. These contributions will help advice-givers and the developers of advice-giving information systems and advice networks to provide better advice.

This paper fills a need for a clear and straightforward overall conceptualization of advice that accounts for advice documents and is informed by how advice has been previously conceptualized in multiple scientific fields.