Peyman Toreini

Karlsruhe Institute of Technology | KIT · Institute of Information Systems and Service Design

In the future, cognitive activity will be tracked in the same way how physical activity is tracked today. Eye-tracking technology is a promising off-body technology that provides access to relevant data for cognitive activity tracking. For building cognitive state models, continuous and longitudinal collection of eye-tracking and self-reported cogn...

In Explainable Artificial Intelligence (XAI) research, various local model-agnostic methods have been proposed to explain individual predictions to users in order to increase the transparency of the underlying Artificial Intelligence (AI) systems. However, the user perspective has received less attention in XAI research, leading to a (1) lack of in...

In recent years, innovative multiparty eye tracking setups have been introduced to synchronously capture eye movements of multiple individuals engaged in computer-mediated collaboration. Despite its great potential for studying cognitive processes within groups, the method was primarily used as an interactive tool to enable and evaluate shared gaze...

Mixed reality (MR) devices such as HoloLens are expressed as one of the future technology for working environments in Metaverse. However, it is still being determined how such technology can contribute to the Business Intelligence and Analytics (BI&A) context. In this study, following the problem-awareness step of a design science research (DSR) pr...

Eye tracking technology is a NeuroIS tool that provides non-invasive and rich information about cognitive processes. Recently, it has been demonstrated that eye movement analysis using machine learning algorithms also represents a promising approach to recognize user characteristics and states as a foundation for designing neuro-adaptive informatio...

Traditionally, NeuroIS studies are performed in highly controlled laboratory environments. However, due the proliferation of mobile sensor equipment, it is nowadays also possible to also run experiments in less controlled environments, e.g., in home settings. Running NeuroIS experiments in these settings allows researchers to pursue novel research...

Recent UI design employs regional cues such as images of iconic landmarks from the users’ region. Thus far, however, there is only limited research on the effects of regional cues on user attitudes and behaviors. Addressing this gap, we draw on Consumer Ethnocentrism Theory to study how regional cues affect users’ visual attention, perceptions of r...

Mixed Reality (MR) has demonstrated its potential in the application field of education. In particular, in contrast to traditional learning, students using MR get the possibility of learning and exploring the content in a self-directed way. Meanwhile, research in learning technology has revealed the significance of supporting learning activities wi...

At this stage, empirical studies in the NeuroIS field have been conducted primarily in laboratory environments. However, the continuing advances in sensor technologies and software interfaces have created novel opportunities to explore the potential of NeuroIS not only in highly controlled lab environments but also in the wild. In this exploratory...

Now and then, users are asked to accept terms and conditions (T&C) before using Internet-based services. Previous studies show that users ignore reading T&C most of the time and accept them tacitly without reading, while they may include critical information. This study targets solving this problem by designing an innovative NeuroIS application cal...

Information dashboards are a critical capability in contemporary business intelligence & analytics systems. Despite coming with strong potential to support better decision making, the huge amount of information provided challenges their users when they perform data exploration tasks. Accordingly, dashboard users face difficulties in managing their...

Now and then, users are asked to accept terms and conditions (T&C) before using Internet-based services. Previous studies show that users ignore reading T&C most of the time and accept them tacitly without reading, while they may include critical information. This study targets solving this problem by designing an innovative NeuroIS application cal...

In the age of information, office workers process huge amounts of information and distribute their attention to several tasks in parallel. However, attention is a scarce resource and attentional breakdowns, such as missing important information, may occur while using information systems (IS). Currently, there is a lack of support to understand and...

In the age of information, office workers process huge amounts of in- formation and distribute their attention to several tasks in parallel. However, attention is a scarce resource and attentional breakdowns, such as missing important information, may occur while using information systems (IS). Currently, there is a lack of support to understand an...

In the age of big data, decision-makers are confronted with enormous amounts of information coming from various resources at high velocity. However, humans have limited cognitive capabilities such as attentional resources. Inappropriate attentional resource allocation can lead to severe losses in performance. Nowadays, the usage of eye-tracking dev...

Business intelligence systems provide information dashboards that aim to assist decision-makers in understanding business situations and consequently support in decision-making. They typically include compressed visual information to raise data exploration from different perspectives. Although information visualization is known as a possible soluti...

In the age of big data, decision-makers are confronted with enormous amounts of information coming from various resources at high velocity. However, humans have limited cognitive capabilities such as attentional re-sources. Inappropriate attentional resource allocation can lead to severe loss-es in performance. Nowadays, the usage of eye-tracking d...

The information systems (IS) field contains a rich body of knowledge on approaches, methods, and frameworks that supports researchers in conducting design science research (DSR). It also contains some consensus about the key elements of DSR projects—such as problem identification, design, implementation, evaluation, and abstraction of design knowle...

External interruptions are a common phenomenon in today's working environment. Specifically, attentional shifts in working environments lead to task resumption failures that refer to the improper resuming of a primary task after an interruption and negatively influencing the individual performance of employees. Business Intelligence & Analytics (BI...

Interruptions are known as one of the big challenges in working environments. Due to improper resuming the primary task, such interruptions may result in task resumption failures and negatively influence the task performance. This phenomenon also occurs when users are working with information dashboards in working environments. To address this prob...

Digital nudging is building on the nudging concept established by behavioral economics. Although nudging and digital nudging have received increasing attention from academia and practitioners, there is evidence that it might be less effective than expected. This lacking effectiveness is in part due to not noticing and cognitively processing the dig...

A broad spectrum of design techniques is available to support digital service design processes. With the growing number of available design techniques, selecting suitable design techniques becomes increasingly challenging, especially for design novices. In this paper, we present design principles and their instantiation in the Web platform ServiceD...

The design of user interface is known to influence the users’ attention while they are interacting with applications such as Business Intelligence and Analytics (BI&A) dashboards. BI&A dashboards are considered as critical be-cause they contain a lot of compressed information and managers only spend a little time to process the provided information...

Recommender systems are essential to overcome the information overload problem in professional learning environments. In this paper, we investigate interest-based recommendation in academic networks using social network analytics (SNA) methods. We implemented 21 different recommendation approaches based on traditional Collaborative Filtering (CF),...

Recommender systems can provide effective means to support self-organization and networking in professional learning environments. In this paper, we leverage social network analysis (SNA) methods to improve interest-based recommendation in professional learning networks. We discuss two approaches for interest-based recommendation using SNA and comp...