Online Crowdsourcing Platform Research Articles

DERCo: A Dataset for Human Behaviour in Reading Comprehension Using EEG

This paper introduces the DERCo (Dublin EEG-based Reading Experiment Corpus), a language resource combining electroencephalography (EEG) and next-word prediction data obtained from participants reading narrative texts. The dataset comprises behavioral data collected from 500 participants recruited through the Amazon Mechanical Turk online crowd-sourcing platform, along with EEG recordings from 22 healthy adult native English speakers. The online experiment was designed to examine the context-based word prediction by a large sample of participants, while the EEG-based experiment was developed to extend the validation of behavioral next-word predictability. Online participants were instructed to predict upcoming words and complete entire stories. Cloze probabilities were then calculated for each word so that this predictability measure could be used to support various analyses pertaining to semantic context effects in the EEG recordings. EEG-based analyses revealed significant differences between high and low predictable words, demonstrating one important type of potential analysis that necessitates close integration of these two datasets. This material is a valuable resource for researchers in neurolinguistics due to the word-level EEG recordings in context.

Crowdsourced Comparative Judgement for Evaluating Learner Texts: How Reliable are Judges Recruited from an Online Crowdsourcing Platform?

Abstract Recent studies of proficiency measurement and reporting practices in applied linguists have revealed widespread use of unsatisfactory practices such as the use of proxy measures of proficiency in place of explicit tests. Learner corpus research is one specific area affected by this problem: few learner corpora contain reliable, valid evaluations of text proficiency. This has led to calls for the development of new L2 writing proficiency measures for use in research contexts. Answering this call, a recent study by Paquot et al. (2022) generated assessments of learner corpus texts using a community-driven approach in which judges, recruited from the linguistic community, conducted assessments using comparative judgement. Although the approach generated reliable assessments, its practical use is limited because linguists are not always available to contribute to data collections. This paper, therefore, explores an alternative approach, in which judges are recruited through a crowdsourcing platform. We find that assessments generated in this way can reach near identical levels of reliability and concurrent validity to those produced by members of the linguistic community.

Why Do Online Crowdsourcing Platform (OCP) Visitors Recommend Idea Competition to Others?

Why Do Online Crowdsourcing Platform (OCP) Visitors Recommend Idea Competition to Others?

Online Search Strategies and Results From a Crowdsourced Survey on Asymptomatic Bacteriuria.

Despite the prevalence of asymptomatic bacteriuria (ASB), what proportion of the population is aware of this condition and the quality of internet resources are currently unknown. This study aimed to use an online crowdsourcing platform to explore general knowledge and internet search strategies, along with the quality of information, on ASB. An online survey was administered through a crowdsourcing platform to women 50 years or older via Qualtrics, which is a sophisticated online survey tool. Participants completed a survey on ASB, and participants were asked how they would search the internet for information both on urinary test results and on ASB. Outcomes included survey responses, and qualitative data were coded and analyzed thematically. χ2 Testing and regression modeling were used to look for variables associated with concern for ASB. There were a total of 518 participants who passed attention check qualifications, and only 45 respondents (8.7%) had heard of ASB. Many were concerned about progress to a worsening infection (n = 387 [77.6%]). When controlling for confounders, education beyond a college degree was not associated with a lower concern for ASB when compared with those with a high school education or less (adjusted odds ratio, 0.63; 95% confidence interval, 0.25-1.55; P = 0.31). Medical providers were the target audience for a majority of the websites, and many of the patient-facing results were of poor quality. Our national survey of women demonstrated a prevalent knowledge deficit surrounding ASB. We must seek to create high-quality, readily available, patient-facing information to increase awareness of ASB, allay concerns, and increase antibiotic stewardship.

What Motivates Solvers’ Participation in Crowdsourcing Platforms in China? A Motivational–Cognitive Model

The voluntary participation of individuals is critical to the success of an online crowdsourcing platform (OCP) and acts as a major obstacle for many organizations seeking engagement with solvers. Based on social cognitive theory and motivation theory, an integrative model is proposed to examine solvers’ intrinsic and extrinsic motivations and personal cognition that influences their participation in OCPs, as well as the influences of intrinsic and extrinsic motivations on individuals’ personal cognition. Empirical data from 297 active solvers on a large OCP in China was collected to test the research model using structural equation modeling. Results show that different motivations play varying roles in solvers’ participation in OCPs. Personal cognition (i.e., perceived self-efficacy and personal outcome expectation) can exert significant and positive effects on solvers’ participation, although solvers’ personal cognition has no significant influence on their breadth of participation. Our findings demonstrate that extrinsic motivations (i.e., monetary reward and gain face) and intrinsic motivation (i.e., enjoyment) are positively associated with solvers’ self-efficacy and personal outcome expectation in.

Taking on Grand Challenges Through Collaborative Crowdsourcing: The Importance of Common Ground for Knowledge Integration

Tackling grand challenges calls for collaborative innovation approaches that can gather various stakeholders around a common goal. One such approach receiving growing scholarly attention is collaborative crowdsourcing. By enabling crowds to collaboratively share and integrate their knowledge, perspectives, and partial solutions, collaborative crowdsourcing changes the role of ordinary people from passive receivers to active creators of innovative solutions for addressing grand challenges. However, our understanding of the knowledge sharing and integrating processes in temporary online crowds is limited and calls for further research. Through a netnographic analysis of an online crowdsourcing platform tackling problems around the Covid-19 pandemic, we provide a detailed account of the knowledge integration processes as they unfold on the platform over time. We identify fourteen activities that individuals engage in and relate these activities to six subprocesses that constitute the knowledge integration process on a collaborative crowdsourcing platform for addressing grand challenges. Our insights contribute to the research on collaborative crowdsourcing by showing the importance of crowds establishing common ground, not only around solutions but also around the different aspects of the problem. Furthermore, when addressing grand challenges, connecting contributions emerges as an important intermediate step between the diverging and converging cycles previously identified in crowdsourcing studies. Finally, our article highlights the importance of (collaborative) crowdsourcing initiatives in making participants feel part of something greater by “building a collective.”

Impaired control over gaming scale (ICOGS): Development, confirmatory factor validation, and psychometric evaluation

Background and aimsThe concept of impaired control is central to addictive disorders, including gaming disorder in the DSM-5 and ICD-11. Impaired control refers to the recurrent inability to resist impulses to engage in certain activities or behaviours and the failure to limit or stop this engagement. Although numerous screening tools for gaming disorder symptoms have been developed, these instruments have limited capacity for measuring the nature and extent of impaired control. To address this limitation, the present study reports on the creation of the Impaired Control Over Gaming Scale (ICOGS), an 8-item screening tool to assess gaming-related impaired control. MethodsA total of 513 gamers, including 125 gamers (24.3%) who met the DSM-5 criteria for gaming disorder, were recruited from Prolific, an online crowd-sourcing platform. ResultsThe ICOGS demonstrated promising psychometric properties. Exploratory and confirmatory factor analysis using two samples provided robust support for a 2-factor model and high internal consistency of the scale. ICOGS scores were significantly and positively associated with gaming disorder symptoms, gaming-related harms, gaming frequency, psychological distress, and neuroticism. Using receiver operating characteristic analysis, the ICOGS differentiated between non-problem gamers and those who met the criteria for GD. Discussion and conclusionsOverall, the ICOGS appears to be a valid and reliable scale for use in studies of problem gaming, and may be useful for assessing outcomes of GD interventions that employ self-regulation and stopping techniques to reduce or eliminate problem gaming behavior.

Perceived severity of Visual Snow Syndrome is associated with visual allodynia.

To investigate whether sensory sensitivity is associated with the perceived severity of Visual Snow Syndrome (VSS) symptoms. Visual Snow (VS) is a perceptual anomaly which manifests as flashing pinpricks of light throughout the visual field. VSS has an estimated population prevalence of 2.2% and is thought to be at least moderately debilitating for all who experience it. However, some people who meet the criteria for VSS have no awareness of it. This may be because they have lower sensory sensitivity, allowing them to ignore their visual phenomena. Our study used a cross-sectional design. We recruited two distinct samples of people with VSS: a sample of people with confirmed VSS; and a sample of people who met the criteria for the condition but had no prior knowledge of it (latent VSS). The latter group was recruited and screened for symptoms via an online crowd-sourcing platform. In total, 100 participants with VSS (49 with confirmed VSS, 51 with latent VSS) completed the Visual Snow Handicap Index and three measures of sensory hypersensitivity. The 100 participants (52 female, 47 male, 1 non-binary) had a mean age of 35.1 years (SD=12.2). Leiden Visual Sensitivity Scale scores were associated with both the perceived severity of VSS, β=0.35, p=0.003, and the number of VSS symptoms endorsed, β=0.45, p < 0.001. On average, participants with VSS experienced elevated sensory hypersensitivity across all measures. Furthermore, longer duration of VSS was associated with lower perceived severity, F(1, 98)=11.37, p=0.001, R2 =0.103. Our results suggest that sensory hypersensitivity may be prevalent in people with VSS and indicate that visual allodynia is associated with increased severity of VSS. Additionally, our findings indicate that inclusion of cases of latent VSS in future research may be important for researchers to develop a more complete understanding of the perceptual experiences of people with VSS.

The Prevalence of Sexual Interest in Children and Sexually Harmful Behavior Self-Reported by Men Recruited Through an Online Crowdsourcing Platform.

This study examined the feasibility of using crowdsourcing to recruit men who self-report sexual interest in children or sexually problematic behavior involving children. Crowdsourcing refers to the use of the internet to reach a large number of people to complete a specific task. A nonrepresentative sample of men (N = 997) participated in a brief self-report survey examining age of attraction, sexual interest in children, proclivity toward sexual offenses involving children, and history of sexual offending. Almost a quarter of the sample (23.1%) indicated some degree of sexual interest in children, propensity to sexually offend against children, and/or actual offending behavior. We present our data broken down by type of interest or behavior and examine the frequency of these outcomes. Findings are likely to be of value to those considering the viability of crowdsourcing to overcome the limitations or challenges of face-to-face research on stigmatizing interests and behaviors. Findings also contribute to estimating prevalence of self-reported sexual interest in children, and sexual offending behavior toward children, across different countries.

The Psychosocial Predictors and Day-Level Correlates of Substance Use Among Participants Recruited via an Online Crowdsourcing Platform in the United States: Daily Diary Study.

BackgroundAlcohol consumption and stimulant use are major public health problems and contribute to morbidity and mortality in the United States. To inform interventions for substance use, there is a need to identify the day-level correlates of substance use by collecting repeated measures data in one’s natural environment. There is also a need to use crowdsourcing platforms like Amazon Mechanical Turk (MTurk) to efficiently engage larger populations of people who use alcohol and stimulants in research.ObjectiveWe aimed to (1) utilize daily diaries to examine the temporal relationship between day-level cravings for alcohol and stimulant/substance use (ie, heavy drinking or any drug use) in a given day over 14 days and (2) assess whether depression, negative affect, and self-esteem measured at baseline predict substance use in a given day over 14 days among people who use alcohol and/or stimulants in the United States.MethodsIndividuals aged ≥18 years in the United States, who reported alcohol or stimulant (ie, cocaine, crack cocaine, and methamphetamine) use in the past year, were recruited using MTurk between March 26 and April 13, 2018. Eligible participants completed a baseline survey and 14 daily surveys online. The baseline survey assessed sociodemographics and psychosocial (ie, depression, affect, self-esteem, and stress) factors. Daily surveys assessed substance use and cravings for alcohol and stimulants. Four multivariable random-intercept logistic regression models were built to examine psychosocial constructs separately along with other significant predictors from bivariate analyses while controlling for age and education.ResultsAmong a total of 272 participants, 220 were White, 201 were male, and 134 were men who have sex with men (MSM). The mean age was 36.1 years (SD 10.5). At baseline, 173 participants engaged in any current or past hazardous alcohol consumption, 31 reported using cocaine, 19 reported using methamphetamine, 8 reported using crack cocaine, and 104 reported any noninjection or injection drug use in the past 6 months. Factors independently associated with substance use were depression (adjusted odds ratio [aOR] 1.11, 95% CI 1.02-1.21; P=.01), negative affect (aOR 1.08, 95% CI 1.01-1.16; P=.01), lower levels of self-esteem (aOR 0.90, 95% CI 0.82-0.98; P=.02), and cravings for alcohol (aOR 1.02, 95% CI 1.01-1.03; P<.001) and stimulants (aOR 1.03, 95% CI 1.01-1.04; P=.01). MSM had higher odds of engaging in substance use in all models (model 1: aOR 4.90, 95% CI 1.28-18.70; P=.02; model 2: aOR 5.47, 95% CI 1.43-20.87; P=.01; model 3: aOR 5.99, 95% CI 1.55-23.13; P=.009; and model 4: aOR 4.94, 95% CI 1.29-18.84; P=.01).ConclusionsInterventions for substance use should utilize evidenced-based approaches to reduce depression, negative affect, and cravings; increase self-esteem; and engage MSM. Interventions may also consider leveraging technology-based approaches to reduce substance use among populations who use crowdsourcing platforms.

The Nonlinear Impact of Task Rewards and Duration on Solvers’ Participation Behavior: A Study on Online Crowdsourcing Platform

Crowdsourcing has attracted significant attention in the past decade because it has more competitive advantages than traditional methods for mobilizing distributed labor and utilizing innovation. Crowdsourcing contests are one of the most popular and effective crowdsourcing modes. Reasonable task rewards and duration are the key factors for seekers to attract solvers who can efficiently participate in the crowdsourcing contest task. Previous studies have mainly focused on task results to analyze solvers’ participation behavior in crowdsourcing contests, but have paid little attention to the task process, and there have been conflicting conclusions regarding the impact of task rewards and duration on solvers’ participation behavior and the performance of crowdsourcing contests. In view of this gap, this study collected 2706 logo design task data points from 2015–2017 on an online crowdsourcing platform and measured the performance of solvers’ participation behavior in two stages. The participation time was used to represent the performance of solvers’ participation behavior in the task process, while the number of submissions of solutions was used to represent the performance of participation behavior in the task result. The results show that task rewards and duration have an inverted U-shaped effect on the number of submissions, money rewards have a positive impact on participation time, and duration has an inverted U-shaped relationship with participation time. This study proposes the nonlinear effects of task rewards and duration on participation behavior and explains the reason for the conflicting results of previous studies. This paper also expands upon existing research by using solvers’ participation time in the task process to measure the performance of solvers’ participation behavior.

Technological Factors Facilitating B40's Motivation in Malaysia to Continue Using Online Crowdsourcing Platform

The increasing number of retrenchments because of the current global pandemic, Covid-19, has led many to shift to the digital economy, especially among the low-income group (B40) in Malaysia. Crowdsourcing is the collection of information, opinions, or work from a group of people, usually sourced via the Internet. Fueled by the development of Internet-based platforms that provided its technological foundation, and the need for an agile and uniquely skilled workforce, crowdsourcing has grown from the grassroots, with a burgeoning body of research investigating its many aspects. However, very few studies examined crowd workers' motivation for continuous participation on online crowdsourcing platforms. Thus, this paper aims to explore the technological factors that facilitate B40's group motivation in Malaysia to continue to participate in online crowdsourcing platforms. This paper employed a qualitative approach, using a semi-structured interview. The thematic analysis method was used to decode the data extracted from the interview transcript. The finding of this study identified four main themes and seven sub-themes: (1) Technology efficacy, (2) Platform Management: client-worker management, safety net, payment mechanism, (3) Platform Design: Ul design, rating feature and (4) Infrastructure: Internet connection, technology infrastructure. This study can provide a guideline for managing crowdsourcing practices in Malaysia, especially for the crowdsourcing platform developer.

Public perceptions of child maltreatment: A national convenience sample

• Study explores public’s knowledge and perception of child maltreatment. • The study is based on national sample using an online crowd sourcing platform. • Results show society believes social programs can impact child maltreatment. • Respondents were knowledgeable about child maltreatment laws and policies. • Barriers were identified in the reporting of child maltreatment. The public view of the social problem of child abuse and neglect plays a key role in determining individuals’ willingness to report cases of child maltreatment. The present study focuses on examining current public knowledge and opinions on child maltreatment reporting. Our research also explores the factors that the public find most important in affecting and preventing child maltreatment. A public opinion survey of a diverse population of Americans regarding their knowledge, understanding, and perspectives about child maltreatment and the best methods to address this social problem. Participants and methods: The study included a convenience sample of 1080 respondents from across the United States. Surveys were administered using an online crowdsourcing platform. The public demonstrated they were generally well-informed about many aspects of child maltreatment, yet they have many concerns about reporting child maltreatment. It was evident that society believes social programs can impact child maltreatment; a majority of the sample indicated that child maltreatment can be prevented and would be in favor of making a tax donation toward child abuse prevention. The results showpublic support for more services as an opportunity to take preventative action against child abuse.

A descriptive model of the offence process for animal abusers: evidence from a community sample

ABSTRACT Animal abuse perpetrated by adults is prevalent, yet largely undetected and understudied. As a result, clinicians have a limited evidence base to draw from when working with animal abusers. The primary aim of this study was to develop the first descriptive model of the offence process for animal abusers using a community sample. Participants were recruited via Prolific Academic – an online crowdsourcing platform that enables cost-effective recruitment of diverse participant pools from the UK. We identified 198 animal abusers in our survey and administered a series of open-ended qualitative items asking participants to describe the circumstances leading up, during, and after the offence. Employing Strauss and Corbin’s (1990) [Strauss, A., & Corbin, J. (1990). Basics of qualitative research: Grounded theory procedures and techniques. Newbury Park, CA: Sage.] grounded theory analysis, we coded the qualitative responses and developed the offence process model. The model detailed the cognitive, behavioral, affective, and contextual factors across the timespan of the animal abuse behavior (i.e. background, pre-offence, offence, and post-offence). This descriptive model of the offence process for animal abusers highlights key targets throughout the timespan that can inform prevention and intervention strategies moving forward.

Predictors of Female Sexual Aggression Among a U.S. MTurk Sample: The Protective Role of Sexual Assertiveness

We studied predictors of female sexual aggression (FSA) among a U.S. Mechanical Turk sample (from Amazon’s online crowdsourcing platform) of 634 adult women ( median age = 32). A logistic regression analysis revealed that five measures contributed significantly to a model predicting past use of a tactic of post-refusal sexual persistence (PRSP), accounting for 19% of variance. Women’s use of a PRSP tactic was associated with lower scores on two sexual assertiveness measures (the ability to refuse sex and the ability to ask questions about a partner’s sexual health history) and higher scores on measures of acceptance of heterosexual male rape myths, early courtship rehearsal (number of others called, texted, tweeted, sexted due to attraction before the age of 18), and sexual sensation seeking. Based on our results, we suggest that sexual assertiveness training may be a useful addition to anti-sexual assault programming. For better prediction and potential prevention of FSA, we recommend continued research on the variables in this study and additional factors related to maladaptive personality (e.g., psychopathy, narcissism, and antisocial values) and the use of alcohol and drugs.

Use of an Online Crowdsourcing Platform to Assess Patient Comprehension of Radiology Reports and Colloquialisms.

OBJECTIVE. The purpose of this study was to use an online crowdsourcing platform to assess patient comprehension of five radiology reporting templates and radiology colloquialisms. MATERIALS AND METHODS. In this cross-sectional study, participants were surveyed as patient surrogates using a crowdsourcing platform. Two tasks were completed within two 48-hour time periods. For the first crowdsourcing task, each participant was randomly assigned a set of radiology reports in a constructed reporting template and subsequently tested for comprehension. For the second crowdsourcing task, each participant was randomly assigned a radiology colloquialism and asked to indicate whether the phrase indicated a normal, abnormal, or ambivalent finding. RESULTS. A total of 203 participants enrolled for the first task and 1166 for the second within 48 hours of task publication. The payment totaled $31.96. Of 812 radiology reports read, 384 (47%) were correctly interpreted by the patient surrogates. Patient surrogates had higher rates of comprehension of reports written in the patient summary (57%, p < 0.001) and traditional unstructured in combination with patient summary (51%, p = 0.004) formats than in the traditional unstructured format (40%). Most of the patient surrogates (114/203 [56%]) expressed a preference for receiving a full radiology report via an electronic patient portal. Several radiology colloquialisms with modifiers such as "low," "underdistended," and "decompressed" had low rates of comprehension. CONCLUSION. Use of the crowdsourcing platform is an expeditious, cost-effective, and customizable tool for surveying laypeople in sentiment- or task-based research. Patient summaries can help increase patient comprehension of radiology reports. Radiology colloquialisms are likely to be misunderstood by patients.

Do safe buy buttons and integrated path-to-purchase on social platforms improve users’ shopping-related responses?

Abstract Buy buttons are a strategic enabler of social shopping and social platform monetization, but their use is still far from satisfactory. This paper aims to find effective actions to optimize buy button performance. A two-factor (safe shopping vs. unsafe shopping; an integrated path to purchase vs. a separated path to purchase), between-subject experiment was conducted on China’s online crowdsourcing platform, Wjx.cn. A two-way, full factorial ANOVA was used to test hypotheses. The study showed that shopping safeguards and guarantees that a social platform aligns with buy button use can positively influence users’ shopping-related attitudinal and behavioral responses, such as shopping attitude and impulse buying intent. In addition, an integrated purchase path, where the user can complete the entire purchasing process on the platform where the item is offered, can result in users adopting a favorable attitude towards using the social platform to make purchases. However, no interaction was found between these two factors, only additive effects. Although major social platforms do not currently offer security and privacy measures for direct purchases, this paper reasonably explains why as well as what measures a social platform can take to optimize buy button performance. This study also indicates that channel integration of a focal social platform and external commercial websites can provide users with an integrated, seamless path to purchase, and can enable social platforms to enhance their value position in today’s business ecosystem.

Assessing the Effect of Clinical Trial Evidence and Anecdote on Caregivers' Willingness to Use Corticosteroids: A Randomized Controlled Trial [Formula: see text

Treatment of childhood atopic dermatitis (AD) is hindered by nonadherence, but caregiver reassurance may help overcome this hurdle. To assess caregivers' willingness to treat childhood AD with a corticosteroid when presented with clinical trial evidence, anecdote, or both. A total of 476 caregivers were recruited through a dermatology clinic and online crowdsourcing platform. Subjects were randomized to receive clinical trial evidence, anecdote, or both, using either the term "medication" or "topical steroid." Additional caregivers were queried about their willingness to treat with the doctor's recommendation or without knowledge of its safety information. Responses were recorded on a 10-point Likert scale. Caregivers' willingness to treat was higher in all information assignment groups compared to those not provided with safety information: clinical trial evidence of a "medication" (P = .003; Cohen's d = 0.83) or "topical steroid" (P = .030; d = 0.55), anecdote of a "medication" (P < .0001; d = 1.37) or "topical steroid" (P < .0001; d = 0.85), both clinical trial evidence and anecdote of a "medication" (P < .0001; d = 1.00) or "topical steroid" (P = .000; d = 0.89), and simply the doctor's recommendation (P < .0001; d = 0.92). Significance was corrected for multiple comparisons to 0.0018. There were no differences between caregivers of children with and without AD (P = .36). Providing anecdotal reassurance, even in the setting of reported high willingness to treat with the doctor's recommendation, may be an effective strategy to improve caregivers' perceptions of starting new medications.

Elevated cannabis demand is associated with driving after cannabis use in a crowd-sourced sample of adults.

Epidemiological and roadside studies suggest that driving after cannabis use (DACU) is prevalent in the United States, and rates have increased following legalization or decriminalization of cannabis in some U.S. states. Reinforcing value of addictive substances (as measured by behavioral economic demand tasks), is an emerging risk factor for driving under the influence. This study sought to expand upon the previously documented link between alcohol demand and driving after drinking by examining whether similar associations exist between cannabis demand and DACU. A large diverse sample of adults (N = 733) recruited via an online crowd-sourcing platform (Amazon Mechanical Turk) competed a validated marijuana purchase task assessing cannabis consumption across a range of prices and validated assessments of DACU, cannabis misuse, and demographics. In analyses of covariance controlling for age, sex, income, and level of cannabis misuse, individuals who endorsed DACU showed elevated cannabis demand across all demand indices examined (ps < .05). Logistic regression indicated that increased intensity of demand was uniquely associated with a greater likelihood of DACU (odds ratio [OR] = 1.61-2.02, ps < .03). Breakpoint, maximum expenditure, and price point corresponding to maximum expenditure uniquely predicted DACU in separate models (OR = 1.41-1.68, ps < .03) but not in a combined model (ORs < 1.36, ps > .47). These results provide initial evidence that elevated cannabis demand may be a distal risk factor for DACU, but future research is needed to clarify the specific relationship between cannabis demand and DACU. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The Effect of Shared Decisionmaking on Patients’ Likelihood of Filing a Complaint or Lawsuit: A Simulation Study

Shared decisionmaking has been promoted as a method to increase the patient-centeredness of medical decisionmaking and decrease low-yield testing, but little is known about its medicolegal ramifications in the setting of an adverse outcome. We seek to determine whether the use of shared decisionmaking changes perceptions of fault and liability in the case of an adverse outcome. This was a randomized controlled simulation experiment conducted by survey, using clinical vignettes featuring no shared decisionmaking, brief shared decisionmaking, or thorough shared decisionmaking. Participants were adult US citizens recruited through an online crowd-sourcing platform. Participants were randomized to vignettes portraying 1 of 3 levels of shared decisionmaking. All other information given was identical, including the final clinical decision and the adverse outcome. The primary outcome was reported likelihood of pursuing legal action. Secondary outcomes included perceptions of fault, quality of care, and trust in physician. We recruited 804 participants. Participants exposed to shared decisionmaking (brief and thorough) were 80% less likely to report a plan to contact a lawyer than those not exposed to shared decisionmaking (12% and 11% versus 41%; odds ratio 0.2; 95% confidence interval 0.12 to 0.31). Participants exposed to either level of shared decisionmaking reported higher trust, rated their physicians more highly, and were less likely to fault their physicians for the adverse outcome compared with those exposed to the no shared decisionmaking vignette. In the setting of an adverse outcome from a missed diagnosis, use of shared decisionmaking may affect patients' perceptions of fault and liability.