Abstract Watching a movie or a football match is still a favorite activity when it comes to spending time with family or friends. TV interaction and movie selection is typically based on using one remote control to perform a selection on a TV user interface. Hence movie or TV channel selection is thus limited to one user who holds the remote control in their hand. Consequently, long decision-making processes, frustration, and the perception of being excluded are part of this experience. This research focuses on opportunities for tangible interfaces to support collaborative movie selection in the living room. Based on an exploratory phase with a variety of design ideas, we designed and evaluated a tangible interface called Sharemote—a concept that provides physical genre-based tokens as a key concept for decision-making to explore group interests and to narrow down possible movies to select. Based on a controlled mixed-subject lab study, we showed significant improvements in the overall user experience of jointly selecting a movie. Moreover, Sharemote was users’ preferred choice of TV interaction.

The advancement of automated driving technologies is fundamentally transforming the relationship between humans and vehicles, shifting from direct control to a more collaborative dynamic. Consequently, the design of in-vehicle Human-Machine Interfaces (iHMIs) is becoming increasingly intricate, focusing on aspects beyond mechanics and ergonomics towards enriched interaction and enhanced user experience. This shift has prompted research efforts to explore and advance iHMI concepts. Despite the iterative nature of design and its role in knowledge creation, our high-level understanding of the design processes utilised in iHMI development remains limited. To provide a comprehensive overview, this paper presents a scoping review of 324 papers (2013—2023) focused on the design underpinnings of iHMI development. Our review presents a categorisation of study goals and a detailed classification of five key stages within the design process. Based on these analyses, we discuss the influence of design and identify potential avenues for future research on iHMIs.

While the introduction of automated driving is intended to make driving safer and more comfortable, it may also make the interaction between user and vehicle more complex and prone to confusion. It is therefore important to be able to assess to what extent ADSs provide their users with clear and unambiguous information concerning system state and concerning allowed or expected actions from the side of the user. In this project, we have developed a questionnaire to measure whether the information provided by an ADS to its user is experienced as clear and unambiguous. The questionnaire consists of nine items, which were shown to discriminate between good and bad HMI designs in terms of user perception and comprehension. The development and evaluation of this questionnaire was done in several steps. First, a set of 15 questionnaire items was developed that could be presented as Likert scale items on a 7 point scale. Next, an online survey was conducted to test the reliability and internal consistency of the questionnaire as well as explore underlying factors. Data analysis showed that responses on some of the items were highly correlated. A subset of 9 items was found to be able to discriminate well between HMIs with different levels of clarity and (un)ambiguity. Exploratory factor analysis revealed two underlying factors, which could be interpreted to relate to perception and comprehension of HMI information. In the final step, the 9-item questionnaire was tested in an experimental setup. 23 Participants were presented with movie clips of transitions from or to automated driving, including a view of the traffic situation (through the windshield) and of the instrument cluster and steering wheel. Again, HMIs were designed to be either clear and unambiguous or unclear/ambiguous. The results showed that the questionnaire discriminated reliably between both versions of the HMI. As in the online survey, high reliability and internal consistency were observed. Additionally, qualitative measurement of user experience by means of Product Reaction Cards also showed clear differences between the two different HMI versions.

Drones will likely enter public spaces soon for deliveries, interacting with humans as recipients or bystanders. Understanding their requirements and factors contributing to uncertainty is crucial for safer Human-Drone Interaction design. Twelve participants were interviewed and engaged in focus groups. Preliminary results indicate the need for clear communication of drone intentions through design and interfaces, guiding future research and design concepts to be tested with user studies for delivery drones in public spaces.