Cardiovascular diseases (CVDs) are a major global health challenge, compounded by a significant systemic treatment gap: the underutilization of cardiac rehabilitation (CR). Central to this issue is the crucial yet underperforming referral process to CR due to various factors, including patients’ lack of information. By co-designing a CR referral assistant with cardiac patients and healthcare professionals, this work explores how technology can support patient journeys from the acute hospital to CR, overcoming existing healthcare system barriers. This work (1) contributes a map of patients’ evolving needs tailored to their pathway, (2) provides design implications for interactive digital health technologies aiming to facilitate patient transitions across established healthcare system boundaries, and (3) discusses the potential of technology as a “patient companion” during their transition to CR.

In production environments, the number of distributed, networked, and automated systems has grown rapidly and is expected to continue to grow in the future. This affects humans' work fundamentally, in terms of their tasks and routines. Increasing automation and digitalization leads to a substantial change of human-machine interactions on the shop floor, raising the question about humans' role in highly automated environments. In this paper, we shed light on how work in increasingly automated and digitalized factories is experienced, drawing on interviews with operators and maintenance engineers from three different industrial contexts. By reflecting on actual and anticipated developments in smart production environments, we point out how workers will experience those contexts. We finally discuss resulting challenges and leverage points for smart factories, i.e., areas where HCI and CSCW can contribute to positively influence workers' experiences in times of increasing automation and digitalization.

Design fiction provides us with a variety of ways to explore potential interactive futures. In order to reflect on the future of workplaces, we created fictional job postings for the context of production facilities. This context is characterized by many constraints, which are often hard to overcome when envisioning the future of interactive practices in such environments. With the fictional job postings, we triggered discussions with stakeholders from a production site and with the public -- which both resulted in highly controversial debates. In this note, we present the evolution of an exemplary job posting and the reactions it evoked. We then discuss our learnings (e.g., that the degree of fiction is essential) and conclude by reflecting on how this instrument facilitates the exploration of prospective interactive practices at work.

This paper presents insights on driver's User Experience (UX) in terms of systematically investigating predicted experience, actual experience, and recalled experience. By conducting a three-week field study with car commuters in two countries, we studied how frustration and anger differentiate in prediction, actual experience, and recall. Our results show that commuters accurately predict their upcoming anger or frustration in a traffic congestion, however, lower their experienced frustration when being recalled. Moreover, unexpected traffic congestions (in contrast to expected ones) are prone to higher levels of anger. We further found that time of day is related to the prediction of anger, and mood is related to the prediction of frustration. With our study we provide a holistic view on commuters' everyday emotions and experiences -- not only when being on the road, but also before and after the trip.

This paper illustrates how workers in a semiconductor factory experience working together with industrial robots. Applying a narrative interview approach, we evoked reports on workers' personal experiences of working together with these robots. This specific approach enabled us to gain knowledge of how daily work with these robots is experienced, including workers' attitudes and inherent meanings regarding the robots. Following a thematic analysis approach, we analyzed the collected interview data and identified rivalry with the robots, adaption towards the robot's behavior, perceived reasonability and knowledge acquisition as salient aspects regarding human-robot interaction in the factory. Our findings indicate how human-robot cooperation can be improved in terms of enhancing workers' everyday experiences with robots, for example, by providing a feeling of control or emphasizing human competences.

Advanced Driver Assistance Systems, such as parking assist systems, are designed to support the driver in his/her driving task. To date, only a few studies exist that investigate the driver's experiences and acceptance while using such systems over time. In this paper, we present the results from a long-term study regarding drivers' experiences with and acceptance of a parking assist system in a newly bought car. We found that there is a change of the drivers' experiences in terms of trust and of certain acceptance factors such as performance expectancy, effort expectancy, attitude towards technology, and social influence over time, highly depending on how certain characteristics of the system (e.g., the auditive signals) are perceived by the driver. Our study confirms the need to take expectations of the drivers, concerning the usefulness of the system, into account when designing parking assist systems. We further conclude that assistance should be given only in situations that really need assistance. Therefore, the situational context (e.g., the size of the parking slot), but also the capabilities of the driver (e.g., his parking skills), should be taken into account.

Research in the context of a semiconductor factory is a challenging but important endeavor. In our studies we investigated experiences of two different working groups: operators and shift leads. By means of a creative card approach we asked participants to express themselves and explain their viewpoints concerning work in the semiconductor factory. To complement the qualitative results with quantitative data, the results were transferred into follow-up questionnaires. Based on our results, we describe operators' and shift leads' everyday experiences in the semiconductor factory as well as contextual influences on it. Our work contributes towards a better understanding of the semiconductor factory from a worker's point of view, providing a basis to improve workers' daily experiences and foster work performance.

This workshop aims to identify and improve current strategies and practices for transferring knowledge from qualitative user studies to become inspiration for an experience-centered design process. The message (e.g., qualitative user study results) can be skewed when passed on from one phase to another in the design and development process. Moreover, the way insights are communicated is often not inspiring enough. We intend to get practitioners and academics engaged in a discussion about how to best transfer research findings of especially qualitative user studies and prevent loss of valuable information. Best practices, failure and success stories are especially welcomed as contributions. At the end of this workshop we will have identified strengths of a few methods, tools, and techniques selected from examples of best practices. Also, we will have summarized limitations and challenges of knowledge transfer and communication practices within experience-centered design.

This paper is aimed at studying information technology acceptance in an automotive context. Most models of technology acceptance focus on barriers of successful information technology implementation in organizations, while factors that take the contextual situation into account are neglected. We address this issue through deriving context-related determinants from an extensive literature review and a content analysis, and we further describe a technology acceptance modeling process to provide an explanation for drivers' acceptance of in-car technology. Based on our evaluation we take the determinants safety and anxiety into consideration, and propose a theoretical car technology acceptance model (CTAM) by incorporating these determinants into the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Our modeling approach and proposed questionnaire support decision processes regarding in-vehicle information system implementation in the automotive industry as well as behavior prediction for research purposes.

This paper reports about a User Experience (UX) study on industrial robotic arms in the context of a semiconductor factory cleanroom. The goal was to find out (1) if there is a difference in the UX between robots used over years with a strict security perimeter (robot A) and a newly installed robot without security perimeter (robot B), and (2) if the UX ratings of the new robot change over time. Therefore, a UX questionnaire was developed and handed out to the operators working with these robots. The first survey was conducted one week after the deployment of robot B (n=23), the second survey (n=21) six months later. Thereby, we found that time is crucial for experiencing human-robot interaction. Our results showed an improvement between the first and second measurement of UX regarding robot B. Although robot A was significantly better rated than robot B in terms of usability, general UX, cooperation, and stress, we assume that the differences in UX will decrease gradually with prolonged interaction.

Different methods, techniques and tools exist for supporting design activities in a user-centered design process. Due to the increasing relevance of experience-centered design, the need to advance existing design methods and tools becomes evident. Within this paper we present "experience characters" as a design tool for communicating a richer understanding of mobile phone experiences towards designers. We conducted a qualitative text analysis study of written experience reports from an online forum in the tradition of grounded theory. Major experience types were grouped into categories and further transformed into five fictive characters that are easy to remember and likely to invoke empathy in design. Thus, designers' communication on and understanding of mobile phone experiences are supported. We describe in detail the steps taken for analysing experience reports and developing the experience characters, including relevant properties for informing and supporting an experience-centered design process.

Usability inspection methods like cognitive walkthroughs and guideline-based evaluations of robotic systems find more and more usage in the design of human-robot interaction. However, due to the fact that robots can be used in a variety of different scenarios, applying these methods to robots is rather difficult. Expert evaluation methods like heuristic evaluations thus need a methodological adaptation to be reasonably applied for human-robot interaction scenarios. We propose a methodological adaptation of remote heuristic evaluation based on video scenarios. To investigate this methodological adaptation we conducted a heuristic evaluation case study based on six different video scenarios with three different robots. Traditional heuristic evaluation data was gathered (number of found usability problems and severity rankings of the problems) and additionally a feedback questionnaire on the method itself was distributed to the participating expert evaluators. We could show that video-based remote heuristic evaluations conducted by interdisciplinary expert evaluators are a valuable approach to detect usability problems in human-robot interaction design in an early development phase.

Effective collaboration between robots and humans is not only a question of interface design and usability, but also of user experience and social acceptance. To investigate these aspects for Human-Robot Collaboration with the HRP-2 robot, two video-based focus groups enhanced with creative stimuli were conducted. The following research question was addressed: Is the HRP-2 robot perceived differently in an autonomous collaboration condition compared to a tele-operated collaboration condition, in terms of social acceptance and user experience?The results show that participants in general are open to a humanoid robot as working partner as long as there is a clear distinction between a human and a robot, in terms of tasks and working procedures. Furthermore, participants stated a positive attitude toward the remotely-controlled HRP-2 robot.