Technologies like chatbots or voice assistants that users encounter and interact with in a social manner, or an alterity relationship, become more and more widespread and gain relevancy. However, approaches that make use of the unique qualities of machines in social situations instead of the attempt to replicate humans are still infant and need further research and application. To approach this topic, otherware should be understood further, through case studies and the development of methods and tools to design appropriate, non-anthropomorphic applications and interactions. Furthermore, applying speculative methods such as anticipative ethnography, but also through materialised examples, the design of otherware leading to positive experiences should be explored.
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Matthias LaschkeRobin NeuhausJudith DörrenbächerMarc HassenzahlVolker WulfAstrid Rosenthal-von der PüttenJan BorchersSusanne Boll 2020 Otherware needs Otherness: Understanding and Designing Artificial Counterparts Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society 1 4 https://doi.org/10.1145/3419249.3420079
Matthias LaschkeRobin NeuhausMarc HassenzahlClaudius Lazzeroni 2020 Improvising with Machines – Designing Artistic Non-Human Actors Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems 1 7 https://doi.org/10.1145/3334480.3382825
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Diana LöfflerJudith DörrenbächerJulika WelgeMarc Hassenzahl 2020 Hybridity as Design Strategy for Service Robots to Become Domestic Products Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems 1 8 https://doi.org/10.1145/3334480.3382832
R NeuhausE LenzS.S BorojeniM Hassenzahl 2019 Exploring the future experience of automated “valet parking” – A user enactment Proceedings - 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2019 https://doi.org/10.1145/3342197.3344518
Robin NeuhausMatthias LaschkeDimitra Theofanou-FülbierMarc HassenzahlShadan Sadeghian 2019 Exploring the impact of transparency on the interaction with an in-car digital AI assistant Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings 450 455 https://doi.org/10.1145/3349263.3351325
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