3,731 research outputs found

    Emoji and rapport management in Spanish WhatsApp chats

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    Emoji are a set of pictographs available on several electronic platforms and applications, which are gradually replacing emoticons (sequences of punctuation marks representing facial expressions). Over the last decade, researchers have proposed that emoticons not only convey emotional content in computer-mediated communication, but they may also perform pragmatic functions, such as signaling the illocutionary force of the utterance (Dresner and Herring, 2010), mitigating threatening formulations (Wilson, 1993), or strengthening expressive speech acts (Skovholt et al., 2014). Despite their growing popularity, little pragmatic research to date specifically addresses emoji. The present paper bridges this gap by exploring the functions of emoji in a corpus of WhatsApp chats written in Spanish. Drawing on Spencer-Oatey's (2000, 2005) rapport management framework, the analysis shows that emoji are used across different domains in the corpus: they not only upgrade or downgrade different speech acts (illocutionary domain), as pointed out by previous research, but they also contribute to achieving a successful interaction by signaling closing sections or by helping to negotiate openings (discourse domain), as well as serving as a way to frame playful interactions (stylistic domain). This study also shows that some practices related to the use of emoji may be influenced by Spanish culture

    Adult Texting in Context : Exploring Norms for Mature Users of Text-Messaging Technologies.

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    An online survey exploring the patterns of adult text-message use was completed by 150 traditional college age young adults ages 18-24 and 171 adults ages 25-68. Because youth traditionally are among the first group to adopt new communication technologies, much research has been conducted among the adolescent and young adult population regarding the prevalence and importance of text-messaging; however, a research deficit exists regarding adult textmessage use. Data gathered from this survey were categorized and analyzed for emergent content regarding the use of text-messaging, what roll texting plays in adult\u27s communication patterns, the sociological impact of text-messaging on survey respondents, and to examine the prevalence of this technology in adults\u27 lives

    Click-Enter-Send: The Relationship Experiences of People Who are Blind or Visually Impaired in Text-Based Workspaces

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    Companies have increasingly turned to text-based communications to recruit, hire, and manage a distributed remote workforce. For people who are blind or visually impaired, this movement presents both challenges and opportunities for attaining and retaining employment. Does the potential isolation of telework have a negative effect on workplace relationships for people who are blind or visually impaired? Does participation in text-based workspaces mitigate stereotypes and stigmatization experienced by people with visible disabilities? Using a constructivist grounded theory framework, this study explored how people who are blind or visually impaired experience relationships in text-based workspaces. Building and maintaining social connections and networks is critical for employment success, so understanding the factors at play in text-based workplace communications is key. Interviews with 18 blind or visually impaired professionals revealed a number of ways individuals connected with colleagues, cultivated professional identity, and built extended networks. This happened despite challenges from technologies and organizational processes that failed to account for employees who are visually impaired. This investigation resulted in the development of an emergent theory and a model that can advance policies and practices for employers and for employment training and support programs. This dissertation is available in open access at AURA (https://aura.antioch.edu/) and OhioLINK ETD Center (https://etd.ohiolink.edu/)

    Language, artificial education, and future-making in indigenous language education

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    This paper examines how language-based artificial intelligence is envisaged to imagine new futures for indigenous languages. It draws on the visions, programmes, and plans of six language initiatives that are developing language technology for often-marginalised indigenous, tribal, and minority (ITM) languages, such as Gondi, Maithili, Rajasthani and Mundari, in India. We note three distinct discourses: (1) technological optimism in utilising these new opportunities by claiming space for otherwise-marginalised languages, (2) the imperative for collaborative and collective work in order to address sparse datasets, and (3) the need to negotiate the contested nature of imagining a new collective future. This paper argues that indigenous language technology is not just a technical project but a contested process of subverting linguistic hierarchy through the ‘active presencing’ of these languages. Overall, the paper emphasizes the need for a nuanced approach that recognizes the interplay between technology, language education, and broader social and political factors

    Developing and Maintaining Online Romantic Relationships

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    The Internet has become the one of the most used ways for individuals of both sexes to meet potential mates. The purpose of the grounded theory study was to gain an understanding of the stages of development of an online romantic relationship and the motivations that impact the progression and the maintenance of relationships through asking individuals who have experienced the phenomenon about their experiences. Social penetration model, social learning theory, and the stimulus- role-value theory guided the study. Four samples of convenience were used to obtain the 20 participants, including the Walden University participant pool, 2 local universities, Match.com and Facebook. Through reviewed literature, the researcher designed the survey and interview questions. The first area explored was how online romantic relationships developed including consideration of motives, perceptions, mate selection, language, and self-expression. The other area explored how online romantic relationships were maintained, including an exploration about gender differences, differences between face-to-face and Internet relationships, and difficulties encountered. Data was placed into the NIVIVO computer software and was analyzed by the researcher. Three themes were discovered from the data including finding potential partners, communication, and maintenance. This study benefits the scientific community in providing information to further develop theories in the literature about how the internet has impacted romantic relationships. It also benefits both the individuals who use the internet to find partners and individuals who want to create new Internet dating tools that are better designed for the needs of the users. This could potentially improve the quality of life for those who are seeking life partners

    Music for Global Human Development: Participatory Action Research for Health and Wellbeing

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    Digital identities: tracing the implications for learners and learning

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    This is the fourth in a series of seminars, funded by the Economic and Social Research Council, to examine ‘The educational and social impact of new technologies on young people in Britain’. Its purpose is to bring together academics, policy makers and practitioners from many different backgrounds in order to consider the contexts and consequences of use of new information and communication technologies for children and young people, with a particular focus on the implications on technological change on formal and informal education. The series is coordinated by John Coleman, Ingrid Lunt, Chris Davies and myself, together with guidance from our advisory board – Keri Facer, Neil Selwyn and Ros Sutherland

    The Effects of Health Care Chatbot Personas With Different Social Roles on the Client-Chatbot Bond and Usage Intentions: Development of a Design Codebook and Web-Based Study

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    Background The working alliance refers to an important relationship quality between health professionals and clients that robustly links to treatment success. Recent research shows that clients can develop an affective bond with chatbots. However, few research studies have investigated whether this perceived relationship is affected by the social roles of differing closeness a chatbot can impersonate and by allowing users to choose the social role of a chatbot. Objective This study aimed at understanding how the social role of a chatbot can be expressed using a set of interpersonal closeness cues and examining how these social roles affect clients’ experiences and the development of an affective bond with the chatbot, depending on clients’ characteristics (ie, age and gender) and whether they can freely choose a chatbot’s social role. Methods Informed by the social role theory and the social response theory, we developed a design codebook for chatbots with different social roles along an interpersonal closeness continuum. Based on this codebook, we manipulated a fictitious health care chatbot to impersonate one of four distinct social roles common in health care settings—institution, expert, peer, and dialogical self—and examined effects on perceived affective bond and usage intentions in a web-based lab study. The study included a total of 251 participants, whose mean age was 41.15 (SD 13.87) years; 57.0% (143/251) of the participants were female. Participants were either randomly assigned to one of the chatbot conditions (no choice: n=202, 80.5%) or could freely choose to interact with one of these chatbot personas (free choice: n=49, 19.5%). Separate multivariate analyses of variance were performed to analyze differences (1) between the chatbot personas within the no-choice group and (2) between the no-choice and the free-choice groups. Results While the main effect of the chatbot persona on affective bond and usage intentions was insignificant (P=.87), we found differences based on participants’ demographic profiles: main effects for gender (P=.04, ηp2=0.115) and age (P<.001, ηp2=0.192) and a significant interaction effect of persona and age (P=.01, ηp2=0.102). Participants younger than 40 years reported higher scores for affective bond and usage intentions for the interpersonally more distant expert and institution chatbots; participants 40 years or older reported higher outcomes for the closer peer and dialogical-self chatbots. The option to freely choose a persona significantly benefited perceptions of the peer chatbot further (eg, free-choice group affective bond: mean 5.28, SD 0.89; no-choice group affective bond: mean 4.54, SD 1.10; P=.003, ηp2=0.117). Conclusions Manipulating a chatbot’s social role is a possible avenue for health care chatbot designers to tailor clients’ chatbot experiences using user-specific demographic factors and to improve clients’ perceptions and behavioral intentions toward the chatbot. Our results also emphasize the benefits of letting clients freely choose between chatbots
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