Facets of Website Content

Thielsch, Meinald T.; Hirschfeld, Gerrit

doi:10.1080/07370024.2017.1421954

Cited by 38 publications

(23 citation statements)

References 108 publications

(227 reference statements)

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“…Scales for website evaluation were the same as in Study 3 of Thielsch, Blotenberg & Jaron (2014) —except for content, here a revised version of the according questionnaire was used (see Thielsch & Hirschfeld, in press ). All subjective website evaluation scales were rated on a 7-point Likert scale, ranging from “1—strongly disagree” to “7 –strongly agree”.…”

Section: Studymentioning

confidence: 99%

“…In the last two decades, this interaction between website and web user has become an important field of research. Thus, the evaluation of websites and their features has been intensively investigated (for overviews see Thielsch & Hirschfeld, in press ; Hornbæk, 2006 ; Moshagen & Thielsch, 2010 ). However, specific user features might also influence evaluation outcomes and therefore likewise be of interest for human–computer interaction research.…”

Section: Introductionmentioning

confidence: 99%

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Depressive symptoms and web user experience

Thielsch

2018

PeerJ

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BackgroundDepression, as one of the most prevalent mental disorders, is expected to become a leading cause of disability. While evidence-based treatments are not always easily accessible, Internet-based information and self-help appears as a promising approach to improve the strained supply situation by avoiding barriers of traditional offline treatment. User experience in the domain of mental problems therefore emerges as an important research topic. The aim of our study is to investigate the impact of depressive symptoms on subjective and objective measures of web user experience.MethodIn this two-part online study (Ntotal = 721) we investigate the relationship between depressive symptoms of web users and basic website characteristics (i.e., content, subjective and objective usability, aesthetics). Participants completed search and memory tasks on different fully-functional websites. In addition, they were asked to evaluate the given websites with standardized measures and were screened for symptoms of depression using the PHQ-9. We used structural equation modeling (SEM) to determine whether depression severity affects users’ perception of and performance in using information websites.ResultsWe found significant associations between depressive symptoms and subjective user experience, specifically of website content, usability, and aesthetics, as well as an effect of content perception on the overall appraisal of a website in terms of the intention to visit it again. Small yet significant negative effects of depression severity on all named subjective website evaluations were revealed, leading to an indirect negative effect on the intention to revisit a website via impaired content perceptions. However, objective task performance was not influenced by depressiveness of users.DiscussionDepression emerges as capable of altering the subjective perception of a website to some extend with respect to the main features content, usability, and aesthetics. The user experience of a website is crucial, especially as it facilitates revisiting a website and thus might be relevant in avoiding drop-out in online interventions. Thus, the biased impression of persons affected by symptoms of depression and resulting needs of those users should be considered when designing and evaluating E-(Mental)-Health-platforms. The high prevalence of some mental disorders such as depression in the general population stresses the need for further investigations of the found effects.

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Section: Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Depressive symptoms and web user experience

Thielsch

2018

PeerJ

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“…In particular, with respect to the most relevant predictors, we can recommend the scale of McKnight et al (2011) to investigate Reliability . For measuring Credibility , we suggest the corresponding scale of the Web-CLIC (Thielsch & Hirschfeld, in press) or an adoption of the message credibility scale of Appelman & Sundar (2016). Such scales are short enough to be enclosed in employee surveys or other monitoring studies targeted at the IT infrastructure of an organization.…”

Section: Discussionmentioning

confidence: 99%

“…As information quality measures, we adapted scales measuring appropriate Amount , Security , and Relevance from the AIMQ (Lee et al, 2002) as well as the Clarity , Credibility , and Informativeness scales from the Web-CLIC (Thielsch & Hirschfeld, in press). …”

Section: Methodsmentioning

confidence: 99%

Trust and distrust in information systems at the workplace

Thielsch

Meeßen

Hertel

2018

PeerJ

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Digitalization of work processes is advancing, and this is increasingly supported by complex information systems (IS). However, whether such systems are used by employees largely depends on users’ trust in these IS. Because there are few systematic studies on this topic, this research provides an initial exploration and validation of preconditions for trust in work-related IS. In Study 1, N = 30 professionals were asked to describe occupational incidents in which they had highly trusted or distrusted an IS. Content analysis of 111 critical incidents described in the in-depth interviews led to 12 predictors of trust and distrust in IS, which partly correspond to the structure of the established IS success model (Delone & McLean, 2003) but also exceed this structure. The resulting integrative model of trust in IS at work was validated in Study 2 using an online questionnaire with N = 179 professionals. Based on regression analyses, reliability (system quality) and credibility (information quality) of IS were identified as the most important predictors for both trust and distrust in IS at work. Contrasting analyses revealed diverging qualities of trust and distrust in IS : whereas well-being and performance were rated higher in trust events, experienced strain was rated higher in distrust events. Together, this study offers a first comprehensive model of trust in IS at work based on systematic empirical research. In addition to implications for theory advancement, we suggest practical implications for how to support trust and to avoid distrust in IS at work.

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“…The architecture of the ICSS is shown in Figure 1 below. Sustainability 2018, 10, x FOR PEER REVIEW 3 of 15 and has been verified in the online context, it was developed in an end computer context and remains limited in its ability to measure the communication characters of a virtual community [37,38]. Therefore, the study investigated the precise composition of user satisfaction and community building [39,40] to evaluate teachers' satisfaction with the ICSS.…”

Section: The Architecture Of the Icssmentioning

confidence: 99%

Teaching Ecosystem Design: Teachers’ Satisfaction with the Integrated Course Service System

Hung

Hsian

et al. 2019

Education Sciences

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In order to support teachers preparing their teaching resources, a teaching ecosystem for developing an online service system to acquire teaching materials, the Ministry of Education (MOE) in Taiwan, implemented an Integrated Course Service System (ICSS) to assist teachers in searching for instructional resources from distributed Educational Six Learning Networks (ESLN) of MOE. The study designed the ICSS and developed an instrument to investigate the satisfaction for the teachers of primary schools, junior high schools and senior high schools. By analyzing 253 teachers, the results show that demographics, such as age, school level, teaching experience and position, have significant effects on the ICSS satisfaction. Further, the teachers were found to be satisfied with the system content, system accuracy, report format, ease of use, system timeliness and community building offered by the ICSS that helps us to understand the teachers' online behavior in more detail for the popularization of the course service system.

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Facets of Website Content

Cited by 38 publications

References 108 publications

Depressive symptoms and web user experience

Depressive symptoms and web user experience

Trust and distrust in information systems at the workplace

Teaching Ecosystem Design: Teachers’ Satisfaction with the Integrated Course Service System

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