An Improved Pareto Front Modeling Algorithm for Large-scale Many-Objective Optimization

A key idea in many-objective optimization is to approximate the optimal Pareto front using a set of representative non-dominated solutions. The produced solution set should be close to the optimal front (convergence) and well-diversified (diversity). Recent studies have shown that measuring both convergence and diversity depends on the shape (or...

Get Out of The Way! Examining eHMIs in Critical Driver-Pedestrian Encounters in a Coupled Simulator

Past research suggests that displays on the exterior of the car, known as eHMIs, can be effective in helping pedestrians to make safe crossing decisions. This study examines a new application of eHMIs, namely the provision of directional information in scenarios where the pedestrian is almost hit by a car. In an experiment using a head-mounted...

Towards a Power-Balanced Participatory Design Process

Participatory designers have taken inspiration from other practices like the social sciences to develop socially just and horizontal processes to collaborate with communities. In the current work, we take the premise that designers do not have enough means to address concepts of power and politics in design practice. Therefore, we elaborate upon...

Bots for Pull Requests: The Good, the Bad, and the Promising

Software bots automate tasks within Open Source Software (OSS) projects’ pull requests and save reviewing time and effort (“the good”). However, their interactions can be disruptive and noisy and lead to information overload (“the bad”). To identify strategies to overcome such problems, we applied Design Fiction as a participatory method with 32...

Ensuring Fairness in Group Recommendations by Rank-Sensitive Balancing of Relevance

For group recommendations, one objective is to recommend an ordered set of items, a top-N , to a group such that each individual recommendation is relevant for everyone. A common way to do this is to select items on which the group can agree, using so-called ‘aggregation strategies’. One weakness of these aggregation strategies is that they...

Understanding Developers' Needs on Deprecation as a Language Feature

Deprecation is a language feature that allows API producers to mark a feature as obsolete. We aim to gain a deep understanding of the needs of API producers and consumers alike regarding deprecation. To that end, we investigate why API producers deprecate features, whether they remove deprecated features, how they expect consumers to react, and...

Recurrent knowledge graph embedding for effective recommendation

Knowledge graphs (KGs) have proven to be effective to improve recommendation. Existing methods mainly rely on hand-engineered features from KGs (e.g., meta paths), which requires domain knowledge. This paper presents RKGE, a KG embedding approach that automatically learns semantic representations of both entities and paths between entities...

Generating Consensus Explanations for Group Recommendations: An exploratory study

In some scenarios, like music, people often consume items in groups. However, reaching a consensus is difficult, and often compromises need to be made. Such compromises can potentially help users expand their tastes. They can also lead to outright rejection of the recommended items. One way to avoid this is to explain recommendations that are...

Knowing the Unknown: Visualising Consumption Blind-Spots in Recommender System

In this paper we consider how to help users to better understand their consumption profiles by examining two approaches to visualising user profiles - chord diagrams, and bar charts - aimed at revealing to users those regions of the recommendation space that are unknown to them, i.e. blind-spots. Both visualisations do this by connecting profile...

Effects of Personal Characteristics on Music Recommender Systems with Different Levels of Controllability

Previous research has found that enabling users to control the recommendation process increases user satisfaction. However, providing additional controls also increases cognitive load, and different users have different needs for control. Therefore, in this study, we investigate the effect of two personal characteristics: musical sophistication...

Visual displays for automated driving: A survey

This paper presents the results of a literature survey on visual displays used in automated driving. We describe six visual display designs: (1) a display with three main components, (2) a bird’s-eye view display, (3) an informative speedometer, (4) a head-up display, (5) eye-catching lights for informing, and (6) eye-catching lights for guiding...