Marita Bjaaland Skjuve

• Master of Science
• Researcher at SINTEF

The introduction of the internet and social media has significantly shifted social practices and the foundations of social capital, making people less constrained by time, space, and close-knit communities for their social interactions. This transformation is evolving further with the growing adoption of social artificial intelligence and socially...

Given the widespread integration of Social AI like ChatGPT, Gemini, Copilot, and MyAI, in personal and professional contexts, it is crucial to understand their effects on information and knowledge processing, and individual autonomy. This paper builds on Bråten’s concept of model power, applying it to Social AI to offer a new perspective on the int...

Generative conversational artificial intelligence (AI), such as ChatGPT, has attracted substantial attention since November 2022. The advent of this technology showcases the vast potential of such AI for generating and processing text and raises compelling questions regarding its potential usage. To obtain the requisite knowledge of users’ motivati...

Objective To gain the knowledge needed to develop a cognitive behavioral intervention and reliable psychoeducation applicable for conversational artificial intelligence models, we investigated the underlying constructs of thoughts common to cognitive distortions found in online questions written by adolescents with symptoms of depression. Methods...

The launch of ChatGPT has attracted significant attention and showcased the potentially game-changing capabilities of conversational AI. These capabilities, and lack of user research, highlight the need to investigate how users experience interactions with conversational AIs like ChatGPT. Therefore, we conducted a questionnaire study with ChatGPT u...

Self-disclosure in human–chatbot relationship (HCR) formation has attracted substantial interest. According to social penetration theory, self-disclosure varies in breadth and depth and is influenced by perceived rewards and costs. While previous research has addressed self-disclosure in the context of chatbots, little is known about users' qualita...

Background: Depression is common during adolescence. Early intervention can prevent it from developing into more progressive mental disorders. Combining information technology and clinical psychoeducation is a promising way to intervene at an earlier stage. However, data-driven research on the cognitive response to health information targeting ado...

Although numerous methods for handling the technical aspects of developing domain-specific modeling languages (DSMLs) have been formalized, user needs and usability aspects are often addressed late in the development process and in an ad hoc manner. To this concern, this paper presents the development of the customer journey modeling language (CJML...

Did you know that humans can develop friendly or even romantic feelings towards social chatbots that can turn into close human-chatbot relationships? The phenomenon of human-chatbot relationship is starting to gain substantial media attention, and research on this topic is now emerging. Social chatbots –what are they? you may ask. Well, you have pr...

Social chatbots have become more advanced, paving the way for human–chatbot relationships (HCRs). Although this phenomenon has already received some research attention, the results have been contradictory, and there is uncertainty regarding how to understand HCR formation. To provide the needed knowledge on this phenomenon, we conducted a qualitati...

Use of conversational artificial intelligence (AI), such as humanlike social chatbots, is increasing. While a growing number of people is expected to engage in intimate relationships with social chatbots, theories and knowledge of human–AI friendship remain limited. As friendships with AI may alter our understanding of friendship itself, this study...

Background Communities of Practice (CoPs) focus on learning, knowledge sharing, and creation, and research indicates they can improve healthcare performance. This article describes the development of a CoP that focused on synthesizing and adapting evidence in Physical Medicine and Rehabilitation (PM&R). This study aimed to investigate the CoP membe...

Although social support is important for health and well-being, many young people are hesitant to reach out for support. The emerging uptake of chatbots for social and emotional purposes entails opportunities and concerns regarding non-human agents as sources of social support. To explore this, we invited 16 participants (16–21 years) to use and re...

There has been a recent surge of interest in social chatbots, and human–chatbot relationships (HCRs) are becoming more prevalent, but little knowledge exists on how HCRs develop and may impact the broader social context of the users. Guided by Social Penetration Theory, we interviewed 18 participants, all of whom had developed a friendship with a s...

In April 2016, Facebook launched Facebook Live. Yet, how and why people stream on Facebook Live is poorly understood. Guided by the uses and gratifications theory, we analyzed public, individual live stream videos on Facebook Live (N = 1118) from the USA, Europe and Asia and applied a questionnaire to Facebook Live users (N = 246) in the USA. We fo...

Companies are increasingly using chatbots to provide customer service. Despite this trend, little in-depth research has been conducted on user experience and user motivation for this important application area of conversational interfaces. To close this research gap, we interviewed 24 users of two chatbots for customer service. Our results demonstr...

The increasing usage of chatbots is fundamentally changing the way people interact with new technology. Instead of clicking buttons to functionally navigate on a web page, people can access content and services by the use of natural language in interaction with an artificial agent (e.g., chatbot). This change toward human–chatbot interaction is typ...

Chatbots are emerging as interactive systems. However, we lack knowledge on how to classify chatbots and how such classification can be brought to bear in analysis of chatbot interaction design. In this workshop paper, we propose a typology of chatbots to support such classification and analysis. The typology dimensions address key characteristics...

Advances in artificial intelligence strengthen chatbots' ability to resemble human conversational agents. For some application areas, it may be tempting not to be transparent regarding a conversational agent's nature as chatbot or human. However, the uncanny valley theory suggests that such lack in transparency may cause uneasy feelings in the user...

A certain company experienced an increasing level of dissatisfaction among its customers with the service it provided, and disagreed internally about the root causes of the negative trend. This case study describes a formalised methodology for customer journeys and a procedure to identify customer pain points and unwanted deviations. We present a t...

Reaching out to young people with important information and services, such as health services, is more difficult than ever. 1 Efficient information providers targeting young people concerning health issues have been among the first priorities of the public health agenda in Europe over the past few decades. Social Health Bots, 2 a research project i...

The emerging sharing economy has important policy implications. To strengthen the basis for policy making, we present an interview study involving sharing economy service owners, policy maker representatives, and research experts. Here, we analyse sharing economy services as human-machine networks, with particular attention to the networked actors...

In current conversational agents, productivity-oriented interaction and relational interaction are strictly compartmentalised. We suggest that UX in future conversational agents may benefit from a more integrated approach to these two forms of interaction. The suggestion is backed by reference to existing studies. Future directions are suggested.

A key outcome of the HUMANE project is a series of policy roadmaps which provide guidance for improving Human-Machine Networks (HMNs) in different social domains. In order to achieve this, we need to foresee future trends in these social domains, examine the broader impact and implications of HMNs, the technical and regulatory challenges, and set t...

Purpose: The Regional Center for Knowledge Translation (RKR) in Health Region of South Eastern Norway created and implemented a knowledge translation (KT) project that consists of synthesizing and adapting literature for use in the health region. To facilitate a geographically diverse collaboration among clinicians, scientists and educators, we imp...