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Among the variety of heuristics evaluation methods available, four paramount approaches have emerged: Nielsen's ten usability heuristics, Shneiderman's Eight Golden Rules of Interface Design, Tognazzini's First Principles of Interaction Design, and a set of principles based on Edward Tufte's visual display work. To simplify access to a comprehensive set of heuristics, this paper describes an approach to integrate existing approaches (i.e., identify overlap, combine conceptually related heuristics) in a single table hereafter referred to as the Multiple Heuristics Evaluation Table (MHET). This approach also seeks to update these approaches by addressing existing gaps and providing concrete examples that illustrate the application of concepts. Furthermore, the authors identify three decision factors that support meaningful communication among stakeholders (e.g., product managers, engineers) and apply them to the MHET heuristics. Finally, this paper discusses the practical implications and limitations of the MHET.

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Interaction Science has undergone rapid development since JoIS' (the Journal of Interaction Science) founding in 2013. The advent of novel techniques and tools required reviewing the understanding of Interaction Science and the scope and aims of JoIS. More particularly, the set of methods and frameworks needed to be revisited and checked against the characteristics of today's ecological system and the resulting requirements for developing socio-technical systems. In this editorial, we tackle the interdisciplinary nature of Human-Computer-Interaction, the different thematic areas in Interaction Science, and diverse scientific research methods (and methodologies). We also examine the JoIS articles published so far, in order to provide a sound baseline for re-defining Interaction Science and update the mission of JoIS accordingly. The newly proposed definition of Interaction Science explicitly takes into account diversity and transdisciplinarity of interactional phenomena. We recognize the action space of Interaction Science being complex and ever-changing, and thus opt for wide generalization. Such way, the interaction is considered as the exchange of material or immaterial goods between acting parties (biological or technical entities) embodied in a certain context. Regarding scientific methodology, one of the important proposals relevant to JoIS is to relax emphasize on the use of empirical investigation based on traditional laboratory experiment. Traditional laboratory empiricism (usually empowered by statistics and hypothesis testing) is too restrictive to exclusively represent JoIS' aims and scope, so we make way to complementary methods such as modeling, simulation, case studies, and design as science. By acknowledging studies of new methodologies, metrics and measurements, as well as work grounded in theories and applications, we ask for future contributors to stay committed to the TEAM (Theory advancement, Empirical advancement, Applied advancement, Methodological advancements) approach. We finally anticipate for the next decade Interaction Science will progressively integrate its scientific concerns with the engineering goal of improving the interactive design of socio-technical systems, resulting in a body of transdisciplinary knowledge and methodology. Interaction Science continues to provide a challenging test domain for applying and developing psychological and social theory in the context of technology development and use.