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With increased adoption and usage of mobile apps for a variety of purposes, it is important to establish attitudinal measurement designs to measure users’ experiences in context of actual app usage. Such designs should balance mobile UX considerations with survey data quality.
To inform choices on contextual mobile survey design, we conduct a comparative evaluation of stars vs smileys as graphical scales for in-context mobile app satisfaction measurement, as follows:
To evaluate and compare data quality across scale types, we look at the distributions of the numerical ratings by anchor point stimulus to evaluate the extremity and scale point distances. We also assess criterion validity for stars and smileys, where feasible.
To evaluate User Experience across variants, we compare key survey-related signals such as response & dismiss rates, dismiss/response ratio, and time-to-response.View details
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Happiness Tracking Surveys (HaTS) at Google are designed to measure satisfaction with a product or feature in context of actual usage. Smiley faces have been added to a fully-labeled satisfaction scale, to increase discoverability of the survey and response rates. Sensitive to the potential variety of effects from images and visual presentation in online surveys (Tourangeau, Conrad & Couper, 2013), this presentation will describe research designed to inform and optimize Google's use of smileys in Happiness Tracking Surveys across products and platforms:
1) We explore construct alignment by capturing users' interpretations of the various smiley faces, via open-ended responses. This data shows meaningful variation across potential smiley images, which informed design decisions.
2) We assess scaling properties of smileys by measuring each smiley independently on a 0-100 scale, to calculate semantic distance between smileys in order to achieve equally-spaced intervals between scale points (Klockars & Yamagishi, 1988).
3) We describe considerations and evaluative metrics for a smiley-based scale with endpoint text labels, to be used with mobile apps and devices.View details
Journal of the American Society for Information Science and Technology, 64(1) (2013), pp. 173-189
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In this article, we present an in-home observation and in-context research study investigating how 38 adolescents aged 14-17 search on the Internet. We present the search trends adolescents display and develop a framework of search roles that these trends help define. We compare these trends and roles to similar trends and roles found in prior work with children ages 7, 9, and 11. We use these comparisons to make recommendations to adult stakeholders such as researchers, designers, and information literacy educators about the best ways to design search tools for children and adolescents, as well as how to use the framework of searching roles to find better methods of educating youth searchers. Major findings include the seven roles of adolescent searchers, and evidence that adolescents are social in their computer use, have a greater knowledge of sources than younger children, and that adolescents are less frustrated by searching tasks than younger children.View details
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More and more products and services are being deployed on the web, and this presents new challenges and opportunities for measurement of user experience on a large scale. There is a strong need for user-centered metrics for web applications, which can be used to measure progress towards key goals, and drive product decisions. In this note, we describe the HEART framework for user-centered metrics, as well as a process for mapping product goals to metrics. We include practical examples of how HEART metrics have helped product teams make decisions that are both data-driven and user-centered. The framework and process have generalized to enough of our company’s own products that we are confident that teams in other organizations will be able to reuse or adapt them. We also hope to encourage more research into metrics based on large-scale behavioral data.View details
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Children want to find information about their world, but
there are barriers to finding what they seek. Young people
have varying abilities to formulate multi-step queries and
comprehend search results. Challenges in understanding
where to type, confusion about what tools are available, and
frustration with how to parse the results page all have led to
a lack of perceived search success for children 7-11 years
old. In this paper, we describe seven search roles children
display as information seekers using Internet keyword
interfaces, based on a home study of 83 children ages 7, 9,
and 11. These roles are defined not only by the children’s
search actions, but also by who influences their searching,
their perceived success, and trends in age and gender.
These roles suggest a need for new interfaces that expand
the notion of keywords, scaffold results, and develop a
search culture among children.View details