Despite growing economic importance, freelance software developers face unfavorable conditions on freelance platforms. Among others, they need to deal with the consequences of elevated expectations emerging during technology hypes. Despite this, the impact of hype on freelancers remains underexplored, limiting our ability to guide them through these intense periods and inform the design of freelance platforms. Through interviews with 52 freelance developers pursuing projects involving generative AI (GenAI), we identify technology hypes as a significant force shaping freelancers’ careers. Based on the interviews, we offer a multifaceted perspective on hype as a phenomenon. We reveal that technological hypes negatively impact the career prospects and well-being of some freelancers while empowering others to advance their careers or transition into new areas. We identify four clusters of freelance developers based on their experiences with and reactions to the GenAI hype. This study positions technology hype as a critical factor shaping the freelance economy.

The use of drones in public safety operations offers police departments potential benefits such as safety and efficiency. However, rarely considered are the perspectives of the public who are affected by the usage of drone in police operations. Ensuring and enhancing the sense of public safety is a primary goal of the police department. Therefore, public safety agencies and drone designers should consider the perception of bystanders at police operations and the broader society to ensure the fulfilment their primary purpose and maximizing drones' potential. This paper examines the factors that affect the public perception of safety during a field trial involving 80 test participants. Analysis of the group interviews reveal that unknowns are the main trigger of the sense of insecurity, including unknowns of drones' identity, purpose and usefulness. We found the public feels safer when the drones play an active role in delivering knowledge rather than passive role of data collection. Our findings highlight key design considerations for future drone-human interactions, providing insights into specific interaction features aimed at enhancing public perceptions of safety. We discuss the social and design implications to inform the public in solving the sense of insecurity mainly induced by a lack of knowledge.

Applications of drones in emergency response, like firefighting, have been promoted in the past decade. As the autonomy of drones continues to improve, the ways in which they are integrated into firefighting teams and their impact on crews are changing. This demands more understanding of how firefighters perceive and interact with autonomous drones. This paper presents a drone-based system for emergency operations with which firefighters can interact through sound, lights, and a graphical user interface. We use interviews with stakeholders collected in two field trials to explore their perceptions of the interaction and collaboration with drones. Our result shows that firefighters perceived visual interaction as adequate. However, for audio instructions and interfaces, information overload emerges as an essential problem. The potential impact of drones on current work configurations may involve shifting the position of humans closer to supervisory decision-makers and changing the training structure and content.

The rise of generative AI has led many companies to hire freelancers to harness its potential. However, this technology presents unique challenges to developers who have not previously engaged with it. Freelancers may find these challenges daunting due to the absence of organizational support and their reliance on positive client feedback. In a study involving 52 freelance developers, we identified multiple challenges associated with developing solutions based on generative AI. Freelancers often struggle with aspects they perceive as unique to generative AI such as unpredictability of its output, the occurrence of hallucinations, and the inconsistent effort required due to trial-and-error prompting cycles. Further, the limitations of specific frameworks, such as token limits and long response times, add to the complexity. Hype-related issues, such as inflated client expectations and a rapidly evolving technological ecosystem, further exacerbate the difficulties. To address these issues, we propose Software Engineering for Generative AI (SE4GenAI) and Hype-Induced Software Engineering (HypeSE) as areas where the software engineering community can provide effective guidance. This support is essential for freelancers working with generative AI and other emerging technologies.

Algorithms take decisions that affect humans, and have been shown to perpetuate biases and discrimination. Decisions by algorithms are subject to different interpretations. Algorithms’ behaviors are basis for the construal of moral assessment and standards. Yet we lack an understanding of how algorithms impact on social construction processes, and vice versa. Without such understanding, social construction processes may be disrupted and, eventually, may impede moral progress in society. We analyze the public discourse that emerged after a significant (five-fold) price-surge following the Brooklyn Subway Shooting on April 12 2022, in New York City. There was much controversy around the two ride-hailing firms’ algorithms’ decisions. The discussions evolved around various notions of fairness and the algorithms’ decisions’ justifiability. Our results indicate that algorithms, even if not explicitly addressed in the discourse, strongly impact on constructing fairness assessments and notions. They initiate the exchange, form people’s expectations, evoke people’s solidarity with specific groups, and are a vehicle for moral crusading. However, they are also subject to adjustments based on social forces. We claim that the process of constructing notions of fairness is no longer just social; it has become a socio-algorithmic process. We propose a theory of socio-algorithmic construction as a mechanism for establishing notions of fairness and other ethical constructs.

Interacting with a conversational agent (CA) is becoming a major paradigm for human-technology interaction. Yet, ways for interacting with CAs are still forming, especially in situations involving more than one human. Starting an interaction with a CA might involve a wakeword and command. Alternatively, it could become active based on implicit requests and context information. Hence, CA designers face a serious dilemma: explicit commands disturb a natural conversation flow, while implicit requests might cause inadequate CA behavior. This study explores this dilemma and discusses observations from a project featuring a CA for financial advisory services. Advisors initially envisioned a CA that ''blends with the background'' and acts on context information. However, when engaging with a CA, they used conversational interactions in one part of the encounter and command-based interactions in another. We discuss this observation and contrast it against previous literature. This insight has implications for design and research.

CSCW and HCI research has a standing discourse on boundary negotiating artifacts and psychological ownership. Both concepts are attributed the potential to address the spreading chronic disease pandemic and rising healthcare costs. While CSCW has attended only to boundary negotiating artifacts to study patient-provider collaboration, the psychological ownership discourse primarily focuses on the perception of ownership over digital objects. Despite studies in both discourses reporting promising results, the concepts have been studied separately. Accordingly, the ways boundary negotiating artifacts relate to psychological ownership in healthcare interactions remain unclear. In this research-through-design study, we evaluate the Digital Companion as a technology-based boundary negotiating artifact. Our field study with 27 patients shows how the Digital Companion fosters psychological ownership in weight management by bridging domains and closing the loop between patient self-management and medical support in consultations. By understanding how boundary negotiating artifacts foster psychological ownership, we gain deeper insights into how patients assume and share ownership of their therapy plans. Our analysis uncovers the emergence of perceived shared ownership as BNAs create concordance between patients and physicians.

We identify and describe episodes of sensemaking around challenges in modern Artificial-Intelligence (AI)-based systems development that emerged in projects carried out by IBM and client companies. All projects used IBM Watson as the development platform for building tailored AI-based solutions to support workers or customers of the client companies. Yet, many of the projects turned out to be significantly more challenging than IBM and its clients had expected. The analysis reveals that project members struggled to establish reliable meanings about the technology, the project, context, and data to act upon. The project members report multiple aspects of the projects that they were not expecting to need to make sense of yet were problematic. Many issues bear upon the current-generation AI’s inherent characteristics, such as dependency on large data sets and continuous improvement as more data becomes available. Those characteristics increase the complexity of the projects and call for balanced mindfulness to avoid unexpected problems.

Conversational agents (CA) have drawn increasing interest from HCI research. They have become popular in different aspects of our lives, for example, in the form of chatbots as the primary point of contact when interacting with an insurance company online. Additionally, CA find their way into collaborative settings in education, at work, or financial advisory. Researchers and practitioners are searching for ways to enhance the customer's experience in service encounters by deploying CA. Since competence is an important treat of a financial advisor, they only accept CA in their interaction with clients if it does not harm their impression on the client. However, we do not know how the social presence of the CA affects this perceived competence. We explore this by evaluating three prototypes with different social presences. For this, we conducted a video-based online survey. In contrast to prior studies focusing on single human-computer interaction, our study explores CA in a dyadic setting of two humans and one CA. First, our results support the Computers-Are-Social-Actors paradigm as the CA with a strong social presence was perceived as more competent than the other two designs. Second, our data show a positive correlation between CA's and advisor's competence. This implies a positive impact of the CA on the service encounter as the CA and advisor can be seen as a competent team.

Modern information technology promises to improve service encounters through automated documentation or better decision traceability. At the same time, research suggests a negative impact of technology on human-to-human advisory services: including the possibility that computers might degrade the quality of interpersonal communication and reinforce unpleasant behaviors. Consequently, despite obvious improvements, information technology might have a negative impact on how the participants perceive the service. This might imply serious consequences for the service provider: dissatisfied clients, ineffective information exchange, and/or lack of transparency. This scenario slows down the diffusion of computers into advisory services in banks and insurance companies, and so designing systems for use in interpersonal services remains a challenge. This article provides evidence that LivePaper, a system designed alongside the material practices of a financial advisory encounter, helps to improve important service quality dimensions, making the services not only more pleasant for the participants, but also improving key marketing and business metrics of the service. In experimental advisory services, the sessions supported with LivePaper outperformed conventional services with regard to overall bank service quality and satisfaction, salesperson listening and interaction rating scores, as well as information transparency. This shows that a carefully designed system not only preserves the perceived quality of a service, but might improve it objectively, and has implications for the marketing and business value of the service.

Advisory services are ritualized encounters between an expert and an advisee. Empathetic, high-touch relationship between those two parties was identified as the key aspect of a successful advisory encounter. To facilitate the high-touch interaction, advisors established rituals which stress the unique, individual character of each client and each single encounter. Simultaneously, organizations like banks or insurances rolled out tools and technologies for use in advisory services to offer a uniform experience and consistent quality across branches and advisors. As a consequence, advisors were caught between the high-touch and high-tech aspects of an advisory service. This manuscript presents a system that accommodates for high-touch rituals and practices and combines them with high-tech collaboration. The proposed solution augments pen-and-paper practices with digital content and affords new material performances coherent with the existing rituals. The evaluation in realistic mortgage advisory services unveils the potential of mixed reality approaches for application in professional, institutional settings. The blow-by-blow analysis of the conversations reveals how an advisory service can become equally high-tech and high-touch thanks to a careful ritual-oriented system design. As a consequence, this paper presents a solution to the tension between the high-touch and high-tech tendencies in advisory services.

Smarting-up email processing is a challenging task. Users file or retrieve multiple messages every day, while receiving little support from most popular email clients. Incorporating semi-automatic sorting into existing applications can help users with their daily work through more efficient organiza