Abstract Voice-based assistants (VBAs) are transforming how we interact with technology. We rely heavily on VBAs (such as Siri, Alexa and Google Assistant) to manage our daily routines and tasks. The current study extends past research on blurting to the human–machine communication (HMC) context. An online survey (n = 185) was conducted to investigate blurting with a VBA. We analysed open-ended accounts of instances in which participants had blurted during conversations with a VBA. In addition, findings show that blurting with a VBA is related to the less sophisticated views of interpersonal arguments and higher argument seeking, verbal aggressiveness, psychological reactance, extraversion and neuroticism. Our findings suggest that although people blurt with VBAs, in line with the general Computers Are Social Actors paradigm, the reasons are unique to HMC.

Abstract Group projects are part of the core educational experience in higher education, but many students report bad experiences with them, characterized by negative emotions and group problems. Group problems may undermine learning and cause stress and frustration. This may be prevented by monitoring and supporting groups, but this is often not feasible for teachers, who lack time and resources. This research aims to find a method for early identification of group work problems via computer-supported assessment. First, interviews and focus groups provided insights into the most common group problems and which visual features students preferred in a peer assessment. Next, two assessment versions were created: a simple, time-efficient version, and a more engaging, interactive one. We also created an initial version of E-Mate, a virtual agent that provides feedback on the assessment. These were tested in a field study. Most students reported a positive experience with the peer assessment, regardless of the version used. Teachers were also positive about its usefulness. Based on the feedback received, new features were added to the peer assessment survey and the E-Mate was redesigned; this new version was tested in a second field study. The results are in line with the previous field study and confirm the positive reception and usefulness of the survey, supporting the use of five attributes to evaluate group collaboration and the usage of a peer assessment survey to assess group work.

Abstract In this study, we investigated how to design a usable augmented reality (AR) profile conversation assistant focusing on how and which information leads to enhanced conversation experience and satisfaction. We drew on usability practices including user need interviews, information disposition sessions and an experiment comparing the conversation experiences between AR profile usage and non-usage. We provide insights into how to design a user interface that can enhance users' conversation experience and satisfaction compared to existing interfaces, especially in terms of type, quantity and placement of information on the AR profile. The three main design insights are to (1) limit the topics to personal information, recent events, preferences and hobbies; (2) use a text-based card format with emojis and make a clear distinction between preferred and not preferred topics through font size and placement difference; and (3) limit the number of information provision pages to less than four pages; however, we were not able to resolve the problem of the guilt and artificiality users feel in acquiring information about others from the AR profile. Thus, to resolve this problem, we suggest shifting our paradigm from a techno-solutionist perspective to breaking the illusion of the omnipotence of technology.

Abstract As the complexity of IT systems increases, the demand for methods taking the whole work situation into account grows. The Vision Seminar (VS) process addresses the future usage of technologies in complex digital work environments. This paper describes the experiences of conducting the VS process in the context of a large IT project to improve study-administrative work. The participants and stakeholders' experiences of participating in VS workshops were studied as the effect the participants and stakeholders believed the vision might have. Data were gathered through interviews and a survey. The participants were confident that the time spent on workshops was worthwhile and that achieving the future described in the resulting vision was feasible. The stakeholders perceived the VS process as rigorous. They were happily surprised by the positive spirit and engagement displayed by the participants. The utility of the resulting vision not being obvious was the most notable weakness mentioned.

Abstract This paper draws on diverse psychological, behavioural and numerical literature to understand some of the challenges we all face in making sense of large-scale phenomena and use this to create a road map for HCI responses. This body of knowledge offers tools and principles that can help HCI researchers deliver value now, but also highlights challenges for future HCI research. The paper is framed by looking at patterns and information that highlight some of the common misunderstandings that arise—not just for politicians and the general public but also for many in the academic community. This paper does not have all the answers to this, but we hope it provides some and, perhaps more importantly, raises questions that we need to address as scientific and technical communities.

Abstract In the COVID-19 pandemic, digital technologies (DT) supported the design and implementation of solutions addressing new needs and living conditions. We describe Design for Emergency, a digital open design platform developed to ideate solutions for people's fast-changing needs in the pandemic, to analyze how DT can affect human-centered design processes during emergencies. We illustrate how DT: i) helped quickly collect and analyse people's needs in different countries, visualize such data, and identify design directions and problem spaces; ii) facilitated the creation of a virtual network of stakeholders and an open-innovation digital platform; iii) inspired the ideation of solutions responding to people's changing needs and affected their implementation. We discuss the implications of adopting DT in designing for and during emergencies, as well as their current and future potential to promptly respond to emergency situations through a human-centered approach.

Abstract Preschool children may interact with the Internet of Things (IoT) devices and program the behavior of these products. However, not much is known about the children’s ideas for a software programming tool. This research aimed at investigating how children aged from 4 to 6 years perceive the programming of IoT devices and, from practice with them, build a prototype of a programming environment for them. To this end, three Participatory Design techniques were adapted and applied to (and with) 30 children. A final prototype was built and its usability was assessed with the participation of six children. Photos and videos collected during the empirical assessment were later analysed using the Content Analysis Method. During the design, children relied on buttons and explicitly represented the IoT devices and adults in the user interfaces. They also adopted a top-down approach to programming IoT devices. Lessons learned for the design of these solutions are discussed.

Abstract In this study, we propose a stabilization algorithm based on optimal estimation to improve the stability of the eye-controlled cursor. The main principle is that the optimal result of the cursor state at the previous moment is used to calculate the predicted value of the current cursor state (a priori estimate). Then, the actual state of the cursor given by the eye tracker is used to correct the predicted value so as to move the cursor smoothly and stably. To verify the performance of the proposed eye-controlled cursor stabilization technique, we designed two sets of control experiments to compare our technique with two classical eye-controlled cursor stabilization techniques: manual and gaze input cascaded and warping to target centre. The experimental results show our stabilization algorithm significantly improves the performance speed of the eye-controlled cursor and reduces the error rate. It is additionally more accessible for users and has good application potential.

Abstract Despite the proliferation of chatbots (conversational agents) in increasingly varied contexts, user satisfaction with chatbot interactions remains a challenge. We do not yet fully understand chatbot usability and adoption factors or how to customize chatbots based on users' personality traits. One important and under researched aspect of chatbot design is users' perceptions of different communication modalities such as voice and text. In this between-group study (n = 393 participants), we asked participants to rate an equivalent text-based (n = 189) and voice-based (n = 204) non-directive, goal-attainment coaching chatbot in terms of usability, performance expectancy and risk perception. We also considered participants' personality in terms of extraversion. For usability across all participants, there was no difference between the chatbots for all participants; however, a higher rating of the voicebot was observed in the group classified as introverts and no difference was found for participants classified as extroverts. For performance expectancy all participants, extroverts and introverts rated the textbot higher. Risk ratings showed no difference between bots for all participants, extroverts and introverts. The results suggest that the voicebot was considered slightly easier to use for some participants while the textbot was considered to perform better by all participants. Creators of chatbots should consider using voice as a modality to attract users and text as a mode to accomplish complex tasks. Extraversion did not play a significant part in chatbot communication modality choice. These results may assist in designing context and audience-specific chatbots for increased efficacy and user satisfaction.