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Book part
Publication date: 18 April 2018

Mitchell L. Cunningham and Michael A. Regan

Purpose – Driver distraction and other forms of driver inattention remain significant road safety problems. The purpose of this chapter is to explore recent developments in

Abstract

Purpose – Driver distraction and other forms of driver inattention remain significant road safety problems. The purpose of this chapter is to explore recent developments in theoretical and empirical research on driver distraction and inattention and provide the reader with a sense for, and understanding of, the key issues.

Methodology – Key references from the literature are reviewed and discussed.

Findings – First, we discuss one way of conceptualising the distinction between driver distraction and other forms of inattention, as well as the mechanisms which may underlie these forms of inattention. Second, we underscores how driver distraction may derive from a plethora of sources, and how the potential for performance degradation deriving from driver interaction with these sources may be moderated by a range of factors. Third, we review recent literature on the types of impairments in driving performance and safety associated with driver distraction. Fourth, we outline recent literature on driver distraction and inattention in the realm of highly automated vehicles that will drive the transport future. Finally, we discuss some promising strategies aimed at preventing and mitigating the impact of driver distraction.

Research implications – There are many gaps in the driver distraction literature that need to be addressed. In addition, further research needs to be undertaken to examine the role of driver distraction in the realm of highly automated vehicles.

Practical implications – The findings point towards of a range of injury prevention countermeasures that have potential to prevent and mitigate driver distraction.

Details

Safe Mobility: Challenges, Methodology and Solutions
Type: Book
ISBN: 978-1-78635-223-1

Keywords

Article
Publication date: 29 December 2023

Ajay Bhootra

Investors are inattentive to continuous information as opposed to discrete information, resulting in underreaction to continuous information. This paper aims to examine if the…

Abstract

Purpose

Investors are inattentive to continuous information as opposed to discrete information, resulting in underreaction to continuous information. This paper aims to examine if the well-documented return predictability of the strategies based on the ratio of short-term to long-term moving averages can be enhanced by conditioning on information discreteness. Anchoring bias has been the popular explanation for the source of underreaction in the context of moving averages-based strategies. This paper proposes and studies another possible source based on investor inattention that can potentially result in superior performance of these strategies.

Design/methodology/approach

The paper uses portfolio sorting as well as Fama-MacBeth cross-sectional regressions. For examining the role of information discreteness in the return predictability of the moving average ratio, the sample stocks are double-sorted based on the moving average ratio and information discreteness measure. The returns to these portfolios are computed using standard approaches in the literature. The regression approach controls for various well-known return predictors.

Findings

This study finds that the equally-weighted monthly returns to the long-short moving average ratio quintile portfolios increase monotonically from 0.54% for the discrete information portfolio to 1.37% for the continuous information portfolio over the 3-month holding period. This study observes a similar pattern in risk-adjusted returns, value-weighted portfolios, non-January returns, large and small stocks, for alternative holding periods and the ratio of 50-day to 200-day moving average. The results are robust to control for well-known return predictors in cross-sectional regressions.

Research limitations/implications

To the best of the authors’ knowledge, this is the first paper to document the significant role of investor inattention to continuous information in the return predictability of strategies based on the moving average ratios. There are many underreaction anomalies that have been reported in the literature, and the paper's results can be extended to those anomalies in subsequent research.

Practical implications

The findings of this paper have important practical implications. Strategies based on moving averages are an extremely popular component of a technical analyst's toolkit. Their profitability has been well-documented in the prior literature that attributes the performance to investors' anchoring bias. This paper offers a readily implementable approach to enhancing the performance of these strategies by conditioning on a straightforward measure of information discreteness. In doing so, this study extends the literature on the role of investor inattention to continuous information in anomaly profits.

Originality/value

While there is considerable literature on technical analysis, and especially on the performance of moving averages-based strategies, the novelty of this paper is the analysis of the role of information discreteness in strategy performance. Not only does the paper document robust evidence, but the findings suggest that the investor’s inattention to continuous information is a more dominant source of underreaction compared to anchoring. This is an important result, given that anchoring has so far been considered the source of return predictability in the literature.

Details

Managerial Finance, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0307-4358

Keywords

Abstract

Details

Traffic Safety and Human Behavior
Type: Book
ISBN: 978-1-78635-222-4

Abstract

Details

Traffic Safety and Human Behavior
Type: Book
ISBN: 978-1-78635-222-4

Article
Publication date: 1 December 2005

Wen‐Shuan Tseng, Hang Nguyen, Jay Liebowitz and William Agresti

This research applies data mining techniques to discover the relationship between driver inattention and motor vehicle accidents.

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Abstract

Purpose

This research applies data mining techniques to discover the relationship between driver inattention and motor vehicle accidents.

Design/methodology/approach

The data used in this research is obtained from the Fatality Analysis Reporting System of the National Highway Traffic Safety Administration, focused on the Maryland and Washington, DC area from years 2000 to 2003. The data are first clustered using the Kohonen networks. Then, the patterns and rules of the data are explored by decision tree and neural network models.

Findings

Results suggests that when inattention and physical/mental conditions take place at the same time, the driver has a higher tendency of being involved in a crash that collides into static objects. Furthermore, with regards to the manner of collision, the relative importance of colliding into a moving vehicle as the first harmful event is two times higher relative to that of colliding into a fixed object as the first harmful event in a crash.

Research limitations/implications

The data used in this research are limited to fatal crashes that happened in Maryland and Washington, DC from years 2000 to 2003.

Originality/value

This is one of the first research papers utilizing data mining techniques to explore the possible relationships between driver inattention and motor vehicle crashes.

Details

Industrial Management & Data Systems, vol. 105 no. 9
Type: Research Article
ISSN: 0263-5577

Keywords

Book part
Publication date: 7 July 2015

Patricia L. Baratta and Jeffrey R. Spence

The multidimensional structure of boredom poses unique measurement challenges related to scale length and statistical modeling. We systematically address these concerns in two…

Abstract

The multidimensional structure of boredom poses unique measurement challenges related to scale length and statistical modeling. We systematically address these concerns in two studies. In Study 1, we use item response theory to shorten the 29-item Multidimensional State Boredom Scale (MSBS) (Fahlman et al., 2013). In Study 2, we use structural equation modeling to compare two theoretically consistent multidimensional structures of boredom (superordinate and multivariate) with the most commonly used, yet theoretically inconsistent, structure in boredom research (unidimensional parallel model). Our findings provide support for modeling boredom as multidimensional and demonstrate the impact of model selection on effect sizes and significance.

Abstract

Details

Traffic Safety and Human Behavior
Type: Book
ISBN: 978-0-08-045029-2

Open Access
Article
Publication date: 19 September 2023

Juan Chen, Nannan Xi, Vilma Pohjonen and Juho Hamari

Metaverse, that is extended reality (XR)-based technologies such as augmented reality (AR) and virtual reality (VR), are increasingly believed to facilitate fundamental human…

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Abstract

Purpose

Metaverse, that is extended reality (XR)-based technologies such as augmented reality (AR) and virtual reality (VR), are increasingly believed to facilitate fundamental human practice in the future. One of the vanguards of this development has been the consumption domain, where the multi-modal and multi-sensory technology-mediated immersion is expected to enrich consumers' experience. However, it remains unclear whether these expectations have been warranted in reality and whether, rather than enhancing the experience, metaverse technologies inhibit the functioning and experience, such as cognitive functioning and experience.

Design/methodology/approach

This study utilizes a 2 (VR: yes vs no) × 2 (AR: yes vs no) between-subjects laboratory experiment. A total of 159 student participants are randomly assigned to one condition — a brick-and-mortar store, a VR store, an AR store and an augmented virtuality (AV) store — to complete a typical shopping task. Four spatial attention indicators — visit shift, duration shift, visit variation and duration variation — are compared based on attention allocation data converted from head movements extracted from recorded videos during the experiments.

Findings

This study identifies three essential effects of XR technologies on consumers' spatial attention allocation: the inattention effect, acceleration effect and imbalance effect. Specifically, the inattention effect (the attentional visit shift from showcased products to the environmental periphery) appears when VR or AR technology is applied to virtualize the store and disappears when AR and VR are used together. The acceleration effect (the attentional duration shift from showcased products to the environmental periphery) exists in the VR store. Additionally, AR causes an imbalance effect (the attentional duration variation increases horizontally among the showcased products).

Originality/value

This study provides valuable empirical evidence of how VR and AR influence consumers' spatial bias in attention allocation, filling the research gap on cognitive function in the metaverse. This study also provides practical guidelines for retailers and XR designers and developers.

Details

Information Technology & People, vol. 36 no. 8
Type: Research Article
ISSN: 0959-3845

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Abstract

Details

Traffic Safety and Human Behavior
Type: Book
ISBN: 978-0-08-045029-2

Article
Publication date: 23 December 2022

José Emilio Farinós, Begoña Herrero and Miguel Ángel Latorre

This paper aims to examine the influence of the gender diversity in the corporate board on the decision of announcing a firm acquisition on Friday. Prior evidence found the…

Abstract

Purpose

This paper aims to examine the influence of the gender diversity in the corporate board on the decision of announcing a firm acquisition on Friday. Prior evidence found the phenomenon of investor inattention.

Design/methodology/approach

A sample of 252 cash-financed acquisitions conducted by listed Spanish firms from 2004 to 2018 is analysed. Probit regressions are used.

Findings

Firms with greater gender diversity on the board are less likely to make acquisition announcements of listed targets on Friday, thus avoiding investor inattention. Women directors seem to provide higher quality information and are more concerned about investors.

Originality/value

To the best of the authors’ knowledge, this is the first study that analyses the role of women directors in the publication of information on Friday, so it complements studies on the disclosure of quality information by listed companies. The Spanish market is an adequate scenario to analyse the impact of women's participation in business decision-making because Spain was one of the first countries to legislate on gender diversity.

Propósito

Este trabajo analiza si la participación de mujeres en el consejo de administración puede influir en el anuncio de adquisición empresarial en un memento de poca atención (viernes) o en otro día de la semana.

Diseño/metodología/enfoque

Se analiza una muestra de 252 anuncios de adquisiciones en efectivo realizados por empresas españolas cotizadas en el periodo de 2004 a 2018. Se utiliza el análisis probit.

Resultados

Las empresas con mayor porcentaje de mujeres consejeras tienen menos probabilidad de anunciar la adquisición de una empresa cotizada en viernes, evitando así la inatención del inversor. Los resultados sugieren que las mujeres consejeras comunican información de mayor calidad y tienen una mayor preocupación por los inversores.

Originalidad

Hasta donde sabemos este trabajo es el primero que analiza la influencia de las mujeres consejeras en la publicación de información en viernes y refuerza los estudios sobre la calidad de la información publicada por las empresas cotizadas. El mercado español es el contexto ideal para el estudio de la participación femenina en la toma de decisiones empresariales pues España fue uno de los primeros países en establecer cuotas de género en los consejos de administración.

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