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Trust Issues with Trust Scales: Examining the Psychometric Quality of Trust Measures in the Context of AI

Trust is crucial for human interaction with artificial intelligence (AI) and is frequently measured through questionnaires or rating scales. One commonly used questionnaire in AI research is the Trust between People and Automation scale (TPA). …

Independent Validation of the Video Game Dispositional Flow Scale With League of Legends Players

Flow is a highly influential concept across many research domains. Because of the close links between enjoyment and flow, it is also a central concept in game research. Accordingly, many measurement instruments in the form of questionnaires have been …

LoL, Why Do You Even Play? Validating the Motives for Online Gaming Questionnaire in the Context of League of Legends

Motives are essential concepts in understanding a players experience in video games. We report and describe the analysis of a widely used questionnaire to measure players’ motives in video games, the Motives for Online Gaming Questionnaire (MOGQ). …

Trust and Reliance in XAI--Distinguishing Between Attitudinal and Behavioral Measures

Trust is often cited as an essential criterion for the effective use and real-world deployment of AI. Researchers argue that AI should be more transparent to increase trust, making transparency one of the main goals of XAI. Nevertheless, empirical …

How WEIRD is CHI?

Computer technology is often designed in technology hubs in Western countries, invariably making it WEIRD, because it is based on the intuition, knowledge, and values of people who are Western, Educated, Industrialized, Rich, and Democratic. …

Initial evidence for biased decision-making despite human-centered AI explanations

In explainable artificial intelligence (XAI) research, explainability is widely regarded as crucial for user trust in artificial intelligence (AI). However, empirical investigations of this assumption are still lacking. There are several proposals as …

Empirical hints of cognitive biases despite human-centered AI explanations

In explainable artificial intelligence (XAI) research, explain-ability is widely regarded as crucial for user trust in artificialintelligence (AI). However, empirical investigations of thisassumption are still lacking. There are several proposalsas …

Measuring Players’ Experience of Need Satisfaction in Digital Games: An Analysis of the Factor Structure of the UPEQ

In this work, we explore the factorial structure of the Ubisoft Perceived Experience Questionnaire (UPEQ) and its correlation with game enjoyment. For this purpose, an online survey was conducted on the experience with the video game League of …

How Web Professionals Perceive Web Accessibility in Practice: Active Roles, Process Phases and Key Disabilities

Providing usable web information and services to as many people as possible confronts web professionals with a challenging task. The present study delivers insights about how Web accessibility is perceived in practice. Using a survey, a total of 163 …

My Train Talks to Me: Participatory Design of a Mobile App for Travellers with Visual Impairments

Travellers with visual impairments may face substantial information gaps on their journeys by public transport. For instance, information displayed in trains, as well as on departure boards in train stations and on platforms, are often not available …