Putting it all together

Bayle, Elisabeth; Bellamy, Rachel K. E.; Casaday, George; Erickson, Thomas; Fincher, Sally; Grinter, Beki; Gross, Ben; Lehder, Diane Z.; Marmolin, Hans; Moore, Brian R.; Potts, Colin; Skousen, Grant; Thomas, John

doi:10.1145/280571.280580

Cited by 69 publications

(3 citation statements)

References 5 publications

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“…A common approach to interdisciplinary team work is the communication via artifacts or prototypes to establish a common ground of knowledge. Design patterns as introduced by Alexander [2] were developed for this purpose and got adopted in other application felds, such as software engineering, collaboration [18,35,67,71], HCI [9,41], game-design [7,80], AR [55,81], and interaction design [4]. Therefore, design patterns could be an appropriate approach to establish a common language for AR/VR development if the feld has matured to an extent where it is possible to draw from a rich pool of applications and experiences.…”

Section: Design Implications For Future Prototyping and Authoring Toolsmentioning

confidence: 99%

Current Practices, Challenges, and Design Implications for Collaborative AR/VR Application Development

Krauß

Boden

Oppermann

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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Augmented/Virtual Reality (AR/VR) is still a fragmented space to design for due to the rapidly evolving hardware, the interdisciplinarity of teams, and a lack of standards and best practices. We interviewed 26 professional AR/VR designers and developers to shed light on their tasks, approaches, tools, and challenges. Based on their work and the artifacts they generated, we found that AR/VR application creators fulfll four roles: concept developers, interaction designers, content authors, and technical developers. One person often incorporates multiple roles and faces a variety of challenges during the design process from the initial contextual analysis to the deployment. From analysis of their tool sets, methods, and artifacts, we describe critical key challenges. Finally, we discuss the importance of prototyping for the communication in AR/VR development teams and highlight design implications for future tools to create a more usable AR/VR tool chain. CCS CONCEPTS• Software and its engineering → Collaboration in software development; • Human-centered computing → Human computer interaction (HCI); Interaction techniques.

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Section: Design Implications For Future Prototyping and Authoring Toolsmentioning

confidence: 99%

Current Practices, Challenges, and Design Implications for Collaborative AR/VR Application Development

Krauß

Boden

Oppermann

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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“…These patterns [2] are directly related to the representation of information according to user needs, and this results in satisfaction, efficiency and user satisfaction in experiencing software products.…”

Section: Introductionmentioning

confidence: 99%

Patterns of Interaction Description Including Aspects of Constraints

Cruz

Collázos

Guerrero-García

et al. 2016

2016 4th International Conference in Software Engineering Research and Innovation (CONISOFT)

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Interaction patterns emerge as a solution for creating successful interactive systems, aiming mainly to solve a problem of an end-user interaction with a user interface, these patterns may be linked through the interaction pattern languages. Over time, various proposals have suggested such patterns, and its definition have been raised different formats describing patterns, in which the author is free to decide what elements or characteristics considered in its definition.This article is primarily concerned with showing how a template for defining patterns are selected. This is part of a research project that aims to propose a language interaction patterns for the design of software products focused on the user experience. To this end, it has carried out a conceptual review of some of the different formats describing patterns hitherto proposed and defined what elements or characteristics used, the findings have been compared with the application of a survey expert knowledge on the subject of patterns on the level of importance of the features found.

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“…The first CHI workshop on pattern languages took place in 1997. The participants explored the utility of pattern languages to support interaction design (Bayle, E., Bellamy, R., Casaday, G., Erickson, T., Fincher, S., Grinter, B., Gross, B., Lehder, D., Marmolin, H., Moore, B., Potts, C., Skousen, G. and Thomas, 1998). At the same time, Coram and Lee presented a pattern language for user interface design (Coram & Lee, 1996).…”

Section: Development Of Design Patterns In Hcimentioning

confidence: 99%

Natural Multimodal Interaction in the Car - Generating Design Support for Speech, Gesture, and Gaze Interaction while Driving

Roider¹

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Driving a modern car is more than just maneuvering the vehicle on the road. At the same time, drivers want to listen to music, operate the navigation system, compose, and read messages and more. Future cars are turning from simple means for transportation into smart devices on wheels. This trend will continue in the next years together with the advent of automated vehicles. However, technical challenges, legal regulations, and high costs slow down the penetration of automated vehicles. For this reason, a great majority of people will still be driving manually at least for the next decade. Consequently, it must be ensured that all the features of novel infotainment systems can be used easily, efficiently without distracting the driver from the task of driving and still provide a high user experience. A promising approach to cope with this challenge is multimodal in-car interaction. Multimodal interaction basically describes the combination of different input and output modalities for driver-vehicle interaction. Research has pointed out the potential to create a more flexible, efficient, and robust interaction. In addition to that, the integration of natural interaction modalities such as speech, gestures and gaze, the communication with the car could increase the naturalness of the interaction. Based on these advantages, the researcher community in the field of automotive user interfaces has produced several interesting concepts for multimodal interaction in vehicles. The problem is that the resulting insights and recommendations are often easily applicable in the design process of other concepts because they too concrete or very abstract. At the same time, concepts focus on different aspects. Some aim to reduce distraction while others want to increase efficiency or provide a better user experience. This makes it difficult to give overarching recommendations on how to combine natural input modalities while driving. As a consequence, interaction designers of in-vehicle systems are lacking adequate design support that enables them to transfer existing knowledge about the design of multimodal in-vehicle applications to their own concepts. This thesis addresses this gap by providing empirically validated design support for multimodal in-vehicle applications. It starts with a review of existing design support for automotive and multimodal applications. Based on that we report a series of user experiments that investigate various aspects of multimodal in-vehicle interaction with more than 200 participants in lab setups and driving simulators. During these experiments, we assessed the potentials of multimodality while driving, explored how user interfaces can support speech and gestures, and evaluated novel interaction techniques. The insights from these experiments extend existing knowledge from literature in order to create the first pattern collection for multimodal natural in-vehicle interaction. The collection contains 15 patterns that describe solutions for reoccurring problems when combining natural input with speech, gestures, or gaze in the car in a structured way. Finally, we present a prototype of an in-vehicle information system, which demonstrates the application of the proposed patterns and evaluate it in a driving-simulator experiment. This work contributes to field of automotive user interfaces in three ways. First, it presents the first pattern collection for multimodal natural in-vehicle interaction. Second, it illustrates and evaluates interaction techniques that combine speech and gestures with gaze input. Third, it provides empirical results of a series of user experiments that show the effects of multimodal natural interaction on different factors such as driving performance, glance behavior, interaction efficiency, and user experience.

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Putting it all together

Cited by 69 publications

References 5 publications

Current Practices, Challenges, and Design Implications for Collaborative AR/VR Application Development

Current Practices, Challenges, and Design Implications for Collaborative AR/VR Application Development

Patterns of Interaction Description Including Aspects of Constraints

Natural Multimodal Interaction in the Car - Generating Design Support for Speech, Gesture, and Gaze Interaction while Driving

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