The moral psychology of Value Sensitive Design: the methodological issues of moral intuitions for responsible innovation

This paper argues that although moral intuitions are insufficient for making judgments on new technological innovations, they maintain great utility for informing responsible innovation. To do this, this paper employs the Value Sensitive Design (VSD) methodology as an illustrative example of how stakeholder values can be better distilled to inform responsible innovation. Further, it is argued that moral intuitions are necessary for determining stakeholder values required for the design of responsible technologies. This argument is supported by the claim that the moral intuitions of stakeholders allow designers to conceptualize stakeholder values and incorporate them into the early phases of design. It is concluded that design-for-values (DFV) frameworks like the VSD methodology can remain potent if developers adopt heuristic tools to diminish the influence of cognitive biases thus strengthening the reliability of moral intuitions

SIMPEL: Circuit model for photonic spike processing laser neurons

We propose an equivalent circuit model for photonic spike processing laser neurons with an embedded saturable absorber---a simulation model for photonic excitable lasers (SIMPEL). We show that by mapping the laser neuron rate equations into a circuit model, SPICE analysis can be used as an efficient and accurate engine for numerical calculations, capable of generalization to a variety of different laser neuron types found in literature. The development of this model parallels the Hodgkin--Huxley model of neuron biophysics, a circuit framework which brought efficiency, modularity, and generalizability to the study of neural dynamics. We employ the model to study various signal-processing effects such as excitability with excitatory and inhibitory pulses, binary all-or-nothing response, and bistable dynamics.Comment: 16 pages, 7 figure

Informing Writing: The Benefits of Formative Assessment

Examines whether classroom-based formative writing assessment - designed to provide students with feedback and modified instruction as needed - improves student writing and how teachers can improve such assessment. Suggests best practices

A DECISION SUPPORT SYSTEM DESIGN TO OVERCOME RESISTANCE TOWARDS SUSTAINABLE INNOVATIONS

The concept of sustainability has been acknowledged as one of the central and most important issues of our time. However, technological innovations which provide a more sustainable way of living, for instance electric cars, are not always welcomed with open arms by consumers but often resisted at the beginning. As such, human resistance behavior can be explained as an interplay of different personality traits that favour the status quo. In this study, a decision support system design is introduced which bases on the concept of digital nudging that addresses innovation resistance on an individual’s cognitive level by de-biasing innovation trial decision-making. An experimental pre-study is conducted to test the influence of different DSS modifications on the selection of electric cars in an online rental car booking scenario. First results show that DSS which set sustainable innovations as default option have a significantly positive effect on their trial probability while priming consumers towards electric car trial has no significant effect

Modeling inertia causatives:validating in the password manager adoption context

Cyber criminals are benefiting from the fact that people do not take the required precautions to protect their devices and communications. It is the equivalent of leaving their home’s front door unlocked and unguarded, something no one would do. Many efforts are made by governments and other bodies to raise awareness, but this often seems to fall on deaf ears. People seem to resist changing their existing cyber security practices: they demonstrate inertia. Here, we propose a model and instrument for investigating the factors that contribute towards this phenomenon

Executive control of actions across time and space

ReviewThis is the author accepted manuscript. The final version is available from Sage via the DOI in this record.Many popular psychological accounts attribute adaptive human behavior to an ‘executive control’ system that regulates a lower-level ‘impulsive’ or ‘associative’ system. However, recent findings argue against this strictly hierarchical view. Instead, control of impulsive and inappropriate actions depends on an interplay between multiple basic cognitive processes. The outcome of these processes can be biased in advance. Action control is also strongly influenced by personal experiences in the recent and distant past. Thus, executive control emerges from an interactive and competitive network. Main challenges for future research are to describe and understand these interactions, and to put executive action control in a wider socio-cultural and evolutional context.The author is currently supported by a starting grant from the European Research Council (ERC) under the European Union's Seventh Framework Programme (FP7/2007-2013)/ ERC Grant Agreement No. 312445

A formal framework for the specification of interactive systems

We are primarily concerned with interactive systems whose behaviour is highly reliant on end user activity. A framework for describing and synthesising such systems is developed. This consists of a functional description of the capabilities of a system together with a means of expressing its desired 'usability'. Previous work in this area has concentrated on capturing 'usability properties' in discrete mathematical models. We propose notations for describing systems in a 'requirements' style and a 'specification' style. The requirements style is based on a simple temporal logic and the specification style is based on Lamport's Temporal Logic of Actions (TLA) [74]. System functionality is specified as a collection of 'reactions', the temporal composition of which define the behaviour of the system. By observing and analysing interactions it is possible to determine how 'well' a user performs a given task. We argue that a 'usable' system is one that encourages users to perform their tasks efficiently (i.e. to consistently perform their tasks well) hence a system in which users perform their tasks well in a consistent manner is likely to be a usable system. The use of a given functionality linked with different user interfaces then gives a means by which interfaces (and other aspects) can be compared and suggests how they might be harnessed to bias system use so as to encourage the desired user behaviour. Normalising across different users anq different tasks moves us away from the discrete nature of reactions and hence to comfortably describe the use of a system we employ probabilistic rather than discrete mathematics. We illustrate that framework with worked examples and propose an agenda for further work

Self-Control in Cyberspace: Applying Dual Systems Theory to a Review of Digital Self-Control Tools

Many people struggle to control their use of digital devices. However, our understanding of the design mechanisms that support user self-control remains limited. In this paper, we make two contributions to HCI research in this space: first, we analyse 367 apps and browser extensions from the Google Play, Chrome Web, and Apple App stores to identify common core design features and intervention strategies afforded by current tools for digital self-control. Second, we adapt and apply an integrative dual systems model of self-regulation as a framework for organising and evaluating the design features found. Our analysis aims to help the design of better tools in two ways: (i) by identifying how, through a well-established model of self-regulation, current tools overlap and differ in how they support self-control; and (ii) by using the model to reveal underexplored cognitive mechanisms that could aid the design of new tools.Comment: 11.5 pages (excl. references), 6 figures, 1 tabl