Short-term methodology for long-term usability

Novick, David G.; Santaella, Baltazar; Cervantes, Aaron; Andrade, Carlos

doi:10.1145/2379057.2379097

Cited by 6 publications

(7 citation statements)

References 9 publications

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“…As the same participants use the studied product over time, they will get more experienced with the product. Therefore, no longitudinal survey samples the exactly same users twice [13]. This should be considered especially when the learning process itself is of interest, e.g.…”

Section: Long-term Ux Research Practice In Hcimentioning

confidence: 99%

“…Surprisingly, some basic usability problems were reported still after 2.5 months. Another study [13] used a cross-sectional approach to study differences between novice and expert users regarding frustration episodes. Although the sample size was small, results suggest that studies where applications are used beyond a year may not be beneficial, as the most observable differences occur within three to six months from the beginning of use.…”

Section: Long-term Ux Research Practice In Hcimentioning

confidence: 99%

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Usefulness of long-term user experience evaluation to product development

Varsaluoma

Sahar

2014

Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational

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Understanding the temporal aspects of user experience ( U X ) h a s r e c e i v e d i n c r e a s i n g a t t e n t i o n i n t h e H C I community. However, little empirical evidence is available on how practitioners in product development companies evaluate the usefulness or actually use long-term UX evaluation data in their work. In this study, we explore how practitioners (e.g., managers, designers and UX specialists) evaluate the usefulness of long-term UX evaluation results to their own work. Three case studies were conducted with longitudinal and retrospective methods in a company developing interactive sports products. Our findings suggest that long-term UX evaluation provides results that are perceived as interesting, relevant and useful by practitioners. Potential uses for the results were e.g., verifying practitioners' expectations, planning future work, understanding changes in UX, the development of future products, and updating current software products. Future research should focus on how to provide long-term UX evaluation results in more efficient manner to benefit product development.

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Section: Long-term Ux Research Practice In Hcimentioning

confidence: 99%

Section: Long-term Ux Research Practice In Hcimentioning

confidence: 99%

Usefulness of long-term user experience evaluation to product development

Varsaluoma

Sahar

2014

Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational

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“…Prolonged use of an application by a user has a completely different impact on the user experience compared to the initial experiences of an application.Yet the researchers conveyed that collecting the accurate information from users using an application for longer period of time is not possible. The reason being user might not remember his complete history of user experience (Novick et al, 2012). Another interesting finding is that long term user experience from users can be gathered as they are using the application for longer time.In contrast long term user experience information cannot be collected for new products because the user has not yet had a prolonged experience.…”

Section: Long Term Usagementioning

confidence: 99%

A Proposal: Human Factors Related to the User Acceptance Behavior in Adapting to New Technologies or New User Experience

Reddy¹,

Reddy²,

Jonnalagadda³

2022

Int. J. Res. Publ. Rev.

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We are aware of the tremendous growth of new mobile phones released in the market every year. The increase in the users’ needs with respect to the new devices is not to be ignored as well. Each product has so many brands with n-number of models and versions.The way the users choose to buy these products is perplexing. For example,decision made to buy a new mobile or change to new brand or even continuing the same brand is not an easy task. The user acceptance for any new behavior is very complex. This paper explores all the possible human factors connected to either pleasant or unpleasant user experiences. Various researchstudies discovered that loyalty of the users for a particular brand plays an important role for the success of the product. Long- term usage of the product by a user would have a negative impact, as the user is not willing to switch to other brands and this has a positive impact on the companies. User memory, expectations and experiences are closely knit to understand the user acceptance for choosing a product. A positive emotion such as pleasant user experience is significant because users recommend the products to others based on these emotional experiences. Age plays an important role with respect to user experience. Old age users were not enthusiastic in going for a change as they preferred to continue with the same technology. Cultural aspects of users are interesting to know in understanding the product purchases. There was biased information regarding user’s visual attractiveness and long- term usage memory. Certain studies explored UX curve and user burden scale that was used to analyze user experiences. It was interesting to know sensory characteristics formed a base for both pleasant and unpleasant user experiences. This research will help companies of mobile devices in identifying the various factors (both positive and negative) related to user experiences and behavior. Future research will be conducted in the areas of short-term user experience and in areas where illiteracy prevail. This study will help the companies to improve their product better based on customer satisfaction.

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“…Longitudinal studies are sometimes used in HCI as it is often relevant to observe user experience over time [19,31,46]. Several frameworks for longitudinal observations within the field of HCI [16,45] have not explicitly addressed anonymous linking of data.…”

Section: Related Workmentioning

confidence: 99%

“…To get a deeper understanding of new interactive technologies, it is necessary to follow participants over time to compare first time use with use after practice. Longitudinal experiments, pre-test/post-test experiments, and other experimental designs involving multiple sessions are common in HCI [19,31,46], for example, for evaluation of 2 learning over time with new text entry methods [35]. Traditionally, the observations from the various sessions were administered using linking tables, where participants' names were assigned unique ids (running numbers).…”

Section: Introductionmentioning

confidence: 99%

HIDE: Short IDs for Robust and Anonymous Linking of Users Across Multiple Sessions in Small HCI Experiments

Sandnes

2021

Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

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Record linking is needed to analyze observations across multiple sessions. However, recent privacy legislature such as the General Data Protection Regulations (GDPR) restricts the storage of information that identify individuals. Obtaining permissions to store information about individuals can be bureaucratic and time-consuming. Anonymous schemes such as self-generated ids and machine generated ids have been proposed. However, self-generated linking ids demand effort from the participants, while machine assisted schemes typically generate long and incomprehensible ids. Consequently, there is a risk that students and researchers will limit their research to single session experiments to avoid privacy issues. To simply the administration of small multi-session experiments, the HIDE procedure is proposed for generating short human readable ids for linking participants across multiple sessions while maintaining anonymity and being robust to input errors. The approach is different from previous approaches in that the goal is to minimize the length of the linking ids. First, the procedure converts the participant's name into a phonetic representation. Next, this phonetic representation is hashed, and a truncated snippet of the hash is used as the linking id. HIDE is initialized by searching for a salt that minimizes the id lengths. Experiments show that the procedure is capable of coding small experiments with 20 participants using two digits, and experiments of around 200 participants with four digits. An implementation of the procedure has been made available through a simple web interface. It is hoped that the procedure can help students and HCI researchers collect more comprehensive data by following participants over time, while protecting their privacy.CCS CONCEPTS • CCS Human-centered computing → Human computer interaction (HCI) → Empirical studies in HCI

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Short-term methodology for long-term usability

Cited by 6 publications

References 9 publications

Usefulness of long-term user experience evaluation to product development

Usefulness of long-term user experience evaluation to product development

A Proposal: Human Factors Related to the User Acceptance Behavior in Adapting to New Technologies or New User Experience

HIDE: Short IDs for Robust and Anonymous Linking of Users Across Multiple Sessions in Small HCI Experiments

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