# Towards Deeper Understanding of User Experience with Ubiquitous Computing Systems: Systematic Literature Review and Design Framework

Kaisa Väänänen-Vainio-Mattila, Thomas Olsson, Jonna Häkkila

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Kaisa Väänänen-Vainio-Mattila, Thomas Olsson, Jonna Häkkila. Towards Deeper Understanding of User Experience with Ubiquitous Computing Systems: Systematic Literature Review and Design Framework. 15th Human-Computer Interaction (INTERACT), Sep 2015, Bamberg, Germany. pp.384-401, 10.1007/978-3-319-22698-9_26. hal-01609394

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# Towards Deeper Understanding of User Experience with Ubiquitous Computing Systems: Systematic Literature Review and Design Framework

Kaisa Väänänen-Vainio-Mattila<fnref n="1" />, Thomas Olsson<fnref n="1" />, Jonna Häkkilä<fnref n="2" />

**Abstract.** Over the past decades, a plethora of innovative ubiquitous computing (ubicomp) systems have been constructed. The acceptance of the systems, however, depends on how users experience them in real contexts. While many of the ubicomp research projects include some form of user study, there is no overview of how user experience (UX) is approached in ubicomp research. To this end, we conducted a systematic literature review of ubicomp UX studies. Our findings reveal that users' experiences with ubicomp systems have often been investigated in rather lightweight ways, for example by addressing basic usability issues, collecting ratings by simple, predetermined scales, or producing descriptions of general experiences such as fun and trust. Based on the findings we argue that a deeper and more fine-grained understanding of user experience would help developing more successful ubicomp systems. We propose a ubicomp UX framework that can help design and evaluate ubicomp systems with a desirable set of target experiences.

**Keywords:** User experience · ubiquitous computing · literature review · UX design and evaluation framework.

## 1 Introduction

The core principles of ubiquitous computing visions include the omnipresence of computing devices integrated to our everyday environments, smooth interoperability between distributed platforms, and hiding computing in the periphery of human attention. [54]

Since the early days of Mark Weiser's vision, ubiquitous computing, or ubicomp, has become one of the dominating technology trends. With increasing numbers of sensor-enhanced everyday objects and infrastructures, such as smart home controls, activity tracking applications and context-sensitive mobile devices, ubicomp systems have already gained initial foothold in our environments. As a field, ubicomp research is pushing further to expand the frontiers of current solutions, and seeking ways to fulfill the promise of its visions to the users [1]. The original vision has been developing

<footnote n="1">¹ Tampere University of Technology, Unit of Human-Centered Technology, Finland
{kaisa.vaananen-vainio-mattila, thomas.olsson}@tut.fi</footnote>

<footnote n="2">² University of Lapland, Faculty of Art and Design, Finland
jonna.hakkila@gmail.com</footnote>
ped further, for example to address ubicomp which can actively engage the users in
everyday interactions [47].

The promise of ubicomp includes a strong emphasis on end-user's perceptions and experiences. In order to hide the technology and make its use fluent and eventually transparent, incorporating the end-user's perspective is essential in the design of the devices, applications and services [35]. Including user experience in the design goals as well as evaluation criteria becomes essential especially when taking steps from early proof-of-concept level technical demos towards more mature prototypes and commercial products. The commercial success is in the end determined by the suitability in authentic usage situations "in the wild".

User experience (UX) as a field seeks to offer a systematic approach to design and analysis of the user's holistic experiences with the technology. As a quality attribute that is an increasingly important success factor of any interactive technology, UX has become one of the major interest areas in the field of human-computer interaction (HCI) since the early 2000's. On a general level, UX refers to users' perceptions and responses that arise in the use of an interactive system [29]. Going beyond this definition, UX covers a broad set of users' experiences based on the instrumental (pragma-tic) and non-instrumental (hedonic) system qualities [24]. Instrumental qualities cover traditional viewpoints like usability and efficiency of the system but also other experiential aspects, such as supporting sense of achievement, flow and self-esteem. The hedonic aspects enable experiences related to pleasure, stimulation, social connectedness, inspiration and self-expression, for example. Many of such aspects have been acknowledged in the UX literature only recently as a result of elaborate analysis of the concept of user experience.

Understanding subjective and emotional experiences will help set meaningful and explicit targets for system design [25]. UX studies thus need to go beyond traditional usability tests and field studies where the focus is on the efficiency and ease of use of the system interaction. To provide detailed guidance for the design of experiential aspects of especially such novel and versatile technology as ubicomp, UX studies need to take into account a broad spectrum of human experiences.

Coming from different research traditions, ubicomp has roots in the engineering fields and computer science whereas UX is strongly connected with HCI, psychology and design. These two fields have not yet been fully entwined. Ubicomp is addressing paradigmatic changes on how technology is interacted with and what are the potential technology-mediated services in different surroundings. Experiential design thinking has become a prominent trend in HCI and we believe that the UX approach can bring opportunities for enticing ubicomp experiences. Deep, detailed understanding of experiences that are desirable and opportune in ubicomp is necessary to guide the design of successful ubicomp systems.

In this paper, we seek to provide understanding of the current study practices and types of UX findings in the area of ubiquitous computing research. Such overview has so far been missing. We do this by a systematic literature review and the following analysis of current state of UX research in ubicomp. Specifically, the main goals of our study were:
* to understand what kind of UX studies have been conducted in ubicomp research, and

* to understand what kind of user experience findings have been gained in the empirical UX studies of ubicomp systems.

The main contribution of this paper is the overview of the status of empirical UX research in ubicomp. Based on the findings, we argue that understanding different user experience types in more depth can give a basis to future designs of ubicomp systems. We also propose a ubicomp UX framework which can help design and evaluate successful ubicomp systems with desirable target experiences.

## 2 Background and Positioning of this Study

In order to understand the roots of ubicomp research, we first take a glance to the early work conducted in the field. From the early days of ubicomp, there has been an emphasis on building interactive systems and integrating existing technologies, such as sensors and location tracking, to application and device concepts that can be trialed out. Especially, the seminal work conducted in Xerox PARC in the dawn of 1990's illustrates the research approach and the motivation of bringing the ubicomp philosophy, as verbalized by Weiser [54] alive. As an example, Active Badge project [53] demonstrated and trialed in the wild the device and service for locating people in the large office and routing the telephone calls to correct locations.

Sensor data fusion and the idea of context-aware devices became integral part of ubicomp. Probably the most used definition related to context-awareness dates back to 2000 when Dey & Abowd define context as "any relevant information used to characterize an entity" [14]. Other landmark early works from ubicomp include mobile technology focused TEA project, which investigated technology enabled awareness through context recognition and device integrated sensor modules using e.g. mobile phones as platforms [50, 49]. Location-awareness became already early one of the key attributes when demonstrating ubiquitous technologies (e.g. Cybreminder reminder system [16] and the first location-aware tourist guide publicly available for city visitors, GUIDE [10]). Also new output technologies such as peripheral and public displays started to emerge (e.g. [38]). While these works already included the aspect of taking the technology out from the laboratory conditions and to the field, it is evident that the development of prototype devices and applications was conducted very much from the technical viewpoint. The central outcome of the field studies was very much to verify that the technology concept actually worked in the real world settings, rather than that it was valid for the actual end users and targeted contexts of use.

Over the years, the trend to demonstrate more complex systems and multitude of ubicomp technologies became evident. Living lab type environments such as Georgia Tech Aware Home [31] gave opportunities to evaluate the research concept in an instrumented environment but yet with authentic, real world users. Moreover, demo environments focused on a specific topic, such as shopping [34], mixing the controlled and in-the-wild research setting were set up. During past few years, sensor instru-
mentation in the form of smart phones has enabled data collection of numerous
everyday activities even in the global scale [7].

In our research, we are especially interested in detailed understanding of user expe-
rience (UX), and how it can be applied in ubicomp system development. As was
stated above, UX goes beyond the traditional instrumental aspects of conventional
usability [29] and extends the focus towards hedonic and emotional aspects of interac-
tion with the product or service [24]. Due to the maturing ubicomp technologies, more
high fidelity prototypes are developed and employed in real world use. While this is
happening, it becomes more relevant to investigate the user perceptions in a holistic
manner in order to find solutions how to introduce the technology for larger audiences
and in the real world use.

Earlier literature reviews and surveys in the area of ubicomp have mostly consi-
dered the topic from the technology point of view. These literature reviews include,
for instance, surveys focusing on Internet of Things [4] or context-aware smart homes
[41]. HCI-oriented surveys have been conducted on research methods in mobile HCI
[32], virtual environments [8], augmented reality (AR) [51, 17] and UX study prac-
tices in general [5]. For example, Swan et al. [51] show that user experiments have
been conducted only in 8% of AR studies. Regarding ubicomp, so far no comprehen-
sive review investigating the UX research in the field has been conducted.

3 Review of Literature of Empirical Ubicomp UX Studies

Our review process was based on iterative evaluation, filtering and analysis of litera-
ture. We started by defining and selecting appropriate sources and keywords for the
survey. This was followed by a multi-phased iterative filtering of the collection of
articles to meet our relevance requirements, and finally a systematic analysis of the
UX related findings reported in the selected publications.

## 3.1 Database and Keyword Selection

We focused the search to six major publishers, digital libraries or meta search engines
in the field: Scopus, Springer Link, IEEE Xplore, Science Direct, ACM, and
ProQuest. These were chosen because they cover the majority of the publications in
the fields of ubicomp and HCI. The query was conducted on August 21st 2014.

The initial search from each source was executed with a combination of three types
of keywords, one focusing on the ubicomp system type, the second on the empirical
user study and the third on the UX related terms (see Table 1). Regarding the techno-
logy, we aimed at covering keywords that represent the broad field of ubicomp. We
included generic ubiquity-related terms (e.g. pervasive, ambient, everyware), recent
related trends that are considered to belong to ubicomp (e.g. internet of things), as
well as technologies related to interaction, such as tangibility. We focused especially
on emerging ubicomp technologies, i.e. computing and interaction technologies that
are relatively novel and have not yet produced well-established business, and thus
would benefit from user-centric research. Consequently, we defined that pure mobile
applications would not be included in the review. Only mobile systems with further
ubicomp aspects, such as location sensing or other novelties were agreed to be accep-
table to the sample.

<table><caption>**Table 1.** Search logic and keywords.</caption><tr><td>UBICOMP keywords ( | refers to OR operation):</td></tr><tr><td>ubiquitous computing | ubiquitous system | ubiquitous service | pervasive system | pervasive computing | calm computing | smart space | smart environment | context-aware system | context-aware service | context-aware application | context-based system | context-based service | context-based application | location-aware system | location-aware service | location-aware application | proximity-based system | proximity-based service | location-based | smart device | smart object | physical computing | tangible computing | mixed reality | wearable system | wearable device | sensor-based system | ambient intelligence | internet of things | everyware</td></tr><tr><td>AND</td></tr><tr><td>EMPIRICAL keywords:</td></tr><tr><td>user study | field study | user trial | user evaluation | empirical study | usability study</td></tr><tr><td>AND</td></tr><tr><td>UX keywords:</td></tr><tr><td>user experience | experience | experiential | product experience | human experience | user acceptance | user perception | user perceptions | human factors | perceived value | customer value | emotion | emotional</td></tr></table>

With the second keyword type (empirical) we wanted to ensure that there would be
some actual user experiences found in the ubicomp study. The focus in the UX
keywords was in experiences, emotions, user perceptions and value, to cover the sub-
jective aspects of UX and to exclude papers which focused on usability or practices of
use. Narrowing down the scope already at this phase was done to avoid excessive
noise in the resulted data (i.e. false positives, such as papers about ubicomp demonst-
rators without any experiential findings).

<table><caption>**Table 2.** Summary of the initial database sources and search results.</caption><thead><tr><td>Source</td><td># of results</td><td>Search based on</td></tr></thead><tbody><tr><td>ACM</td><td>31 / 2998</td><td>Title + abstract / full text</td></tr><tr><td>IEEE Xplore</td><td>57 / 3313</td><td>metadata / full text</td></tr><tr><td>Science direct</td><td>7 / 894</td><td>Title + abstract + keywords / full text</td></tr><tr><td>Scopus</td><td>125</td><td>Title + abstract + keywords</td></tr><tr><td>Springer Link</td><td>798</td><td>All article data</td></tr><tr><td>ProQuest</td><td>6 / 728</td><td>metadata / all data</td></tr></tbody></table>

The initial query resulted in 1016 publications that we selected for further investi-
gation (see Table 2 for the distribution according to the source). Instead of accepting
the approximately 8500 results based on the entire publication data (including full
text) we included only the search results based on the title, abstract, keywords and
other metadata. This was to avoid investigation of a vast body of probably mostly
irrelevant publications. We assumed that for the types of research papers we were
looking for, the defining keywords would be mentioned in the abstracts, keywords or
metadata. We tested this assumption by going through the Springer Link results where
the search results could only be based on all article data. Only 19 of the 640 search
results were relevant, so we assumed that the situation would be similar also for the
other sources and continued with the narrower set of papers.

## 3.2 Iterative Analysis and Selection of Relevant Papers

**Selection Criteria.** We assessed the relevance of each paper in several phases and with three main criteria. First, the publication had to fit in the technological scope of ubicomp (e.g., not merely a mobile application or web service). Second, the research approach had to be based on an empirical study, rather than, e.g., pure literature review or a vision paper. Most of the exclusions took place based on these two aspects. Third, the UX focus determined the final relevance, based on how detailed and analytical the user study findings were.

**The Process of Iterative Analysis-Based Filtering.** The first analysis phase was conducted to filter out publications that were obviously irrelevant or incomplete (misusing authors, publication names or abstracts; papers from completely different disciplines, abstracts of journal and book chapters, dictionary entries). In this phase, 156 publications were excluded, remaining 860. Furthermore, majority of the duplicates were eliminated (due to the slight overlap between what sources the different search engines use). This phase was executed by one researcher.

In the second phase, a relevance inspection based on the title and abstract was conducted in parallel by three researchers. Three levels of relevance (no relevance, maybe relevant, relevant) were considered based on the abovementioned three aspects of search. This resulted in 31 relevant and 158 maybe relevant publications. The relevance requirements that excluded most of the publications in this phase were the lack of UX viewpoint or a missing empirical user study. In the third phase, we performed a cross-analysis by three researchers of eight randomly selected relevant publications by reading the publications thoroughly and inspecting the user study methodology and reported results. The aim was to refine the analysis scheme for the rest of the publications. This helped create a commonly agreed view and later systematically analyze the entire variety of relevant aspects. In the fourth phase we performed an analysis of the relevant and maybe relevant papers (189) based on the full text. This included a systematic inspection of the key criteria in each paper to determine the final relevance.

Finally, the analysis resulted in 75 relevant publications as our data set. This means that originally, based on the abstract, there were 114 publications that were thought as relevant but after reading the full text were found irrelevant. Again, the most important reasons which led to filtering out papers at this phase were the lack of empirical user study that focused on any experiential aspects and some of the systems being mere mobile applications without any aspects that could be considered as ubicomp. In addition, a few duplicates and five papers that we could not access were excluded.
**Content Analysis of the Relevant Papers.** After gaining the set of 75 relevant papers, three researchers analyzed the contents bottom up from the full text, extracting items that were sought for in the research questions relating to the user study approaches and types of UX findings. Unclear items were discussed and resolved for the final classification of the found items.

# 4 Results

We first present an overview of the resulting 75 papers and their publication forums. A majority of the selected papers are conference papers from established fora such as UbiComp, CHI, AmI, MobileHCI, Pervasive and MUM. It is noteworthy that the set of papers represent almost 20 further conferences, relating to, e.g., entertainment technologies, assistive technologies, interactive tabletops, persuasive systems, mixed reality, and children and technology. This implies that ubicomp is indeed a broad area with a variety of subtopics and related themes, and that UX studies of ubicomp are published in both ubicomp-specific technical forums and HCI-centered forums. There are altogether 13 journal publications, seven of them from Personal and Ubiquitous Computing. Furthermore, the resulting set of publications includes six book chapters, all in books with a theme closely related to Ubicomp.

Figure 1 summarizes the publication years of the papers in our final data set. We can see that the majority of relevant user studies have emerged in the field rather recently. All the papers in the corpus, including the main categorizations, are listed at https://sites.google.com/site/ubiuxcorpus/.

<figure><img src="image_2.png" /><figcaption>**Fig. 1.** Publication years of the resulting 75 publications matching the search criteria (the 2014 data is based on query performed on August 21st, 2014).</figcaption></figure>

The majority of the systems in the relevant papers are for everyday pragmatic (20) and leisurely (11) tasks, and for communication (13). Other intended task types include various cognitive tasks, such as learning and searching (11), transport and navigation (10), monitoring and self-reflection (9) and sports and exercise (5). The types of
ubicomp technologies used are location or proximity sensing (16), smart objects (13), smart environment (11), public displays and projectors (11), context awareness and activity tracking (10), wearable technology (7), augmented/mixed reality (7), interactive tags and near-field communication (3), cameras and object recognition (3), proactive assistants or agents (1) and novel interaction techniques (1).

In the following subsections, we present the findings from the literature review to the two key areas: 1) empirical user study approaches which have been used with ubicomp systems and 2) types of user experience findings that have been presented in the relevant literature.

## 4.1 Ubicomp User Experience Study Approaches

Most of the papers (47) included field studies in real contexts of use. 20 of the studies were laboratory studies. In eight of the studies, a laboratory was constructed to simulate the real context, for example a smart home. Most studies represented primarily qualitative research (37), whereas mainly quantitative approach was used in 16 papers. Many papers included both qualitative and quantitative approaches (20).

Table 3 presents key aspects of the user study approaches and methodology of the empirical user studies in the surveyed set of papers. In some cases one paper fits in several categories, increasing the total number of the papers in the table (e.g. multiple methods used). Additionally, not all papers have explicitly reported all the inspected matters (marked as “N/A”).

<table><caption>**Table 3.** Distributions of data gathering methods, user representatives and use periods, and # of participants in the relevant papers.</caption><thead><tr><th>Data gathering methods</th><th>#</th><th>User representatives</th><th>#</th><th>Use period</th><th>#</th></tr></thead><tbody><tr><td>Questionnaire (paper, online)</td><td>45</td><td>System's intended target users</td><td>20</td><td>&lt; 30 min</td><td>10</td></tr><tr><td>Interview (incl. group interviews)</td><td>40</td><td>High diversity or anyone available</td><td>16</td><td>30min - 2 hours</td><td>22</td></tr><tr><td>System logging</td><td>22</td><td>Students</td><td>11</td><td>Up to 1 day</td><td>1</td></tr><tr><td>Observation</td><td>12</td><td>Colleagues and other internals</td><td>5</td><td>1-6 days</td><td>7</td></tr><tr><td>Diaries and probes</td><td>5</td><td>Groups of (unspecified) people</td><td>4</td><td>1-7 weeks</td><td>19</td></tr><tr><td>Experience sampling or day reconstruction method</td><td>3</td><td>Early adopters</td><td>3</td><td>2 months or more</td><td>6</td></tr><tr><td>N/A</td><td>5</td><td>N/A</td><td>20</td><td>N/A</td><td>9</td></tr></tbody></table>

As Table 3 shows, the data gathering methods represent traditional user study methods, based largely on interviews, questionnaires, system logging and observations. Methods suitable for long-term field studies, such as diaries and experience sampling
are rare. The system logging some of the users' activities was well utilized in this set of studies.

A majority of the papers reported studies with fewer than 30 participants (23 papers with 1-12 participants and 29 papers with 13-30 participants), which is a typical number in user studies conducted in HCI. Only 15 papers had a sample size of 30-100. The seven studies employing over 100 participants were largely using questionnaires to gather UX data (e.g. [40, 48]).

Only 14 of the papers reported a study where we interpreted the participants to represent the system's intended target users. Mostly, various kinds of "convenience samples" were used (e.g. students or colleagues) or the user representatives were not reported at all. This may naturally has an effect on the validity of the experiences that the users have with the system, as opposed to studying UX with the real users. As Table 3 shows, in this set of studies long periods (over a week) were quite common. Slight majority, however, is based on short-term studies that allow only the first-time experiences to be studied. When trying to understand the experiences beyond first-time impressions, longer periods of use increase the validity of the UX results.

## 4.2 Types of UX Findings

In the analysis of the papers we looked for user study results that related to experiential aspects of using novel ubicomp systems. We grouped the UX findings bottom-up into six UX finding types. Table 4 shows the distribution of the papers in these categories.

<table><caption>**Table 4.** Types of user experience findings in empirical ubicomp user studies.</caption><thead><tr><td>Types of user experience findings</td><td># of papers</td><td>Examples</td></tr></thead><tbody><tr><td>Usability findings</td><td>9</td><td>[21] [23] [33]</td></tr><tr><td>User acceptance findings</td><td>9</td><td>[3] [30] [46]</td></tr><tr><td>Scaled ratings on predetermined UX aspects</td><td>14</td><td>[2] [18] [52]</td></tr><tr><td>Individual user comments or observations</td><td>16</td><td>[13] [26] [27]</td></tr><tr><td>Overall summaries about UX</td><td>23</td><td>[20] [28] [36]</td></tr><tr><td>Description of several UX types</td><td>4</td><td>[12] [19] [45]</td></tr></tbody></table>

Many studies included aspects of several UX finding types, and our categorization was based on the central result type elicited from each paper (i.e., each paper is only counted once in this grouping). The types of UX findings shown in Table 4 are described below in association with example studies for each type.

**Usability Findings.** Even though our filtering process aimed at excluding usability, some papers addressed usability issues labeled under the term of user experience. In this category, the user study findings focused on the traditional usability issues like efficiency and ease of use on the user interface level.
Harrison et al. [23] studied a system called UbiFit Garden which automatically in-
fers and communicates information about particular types of user's physical activities,
and reflects this on the mobile user interface. A two-phase study was conducted with
altogether 40 participants in field conditions. The results reveal issues related to the
system's form factor and design, power consumption, connectivity, accuracy, genera-
lizability, and adaptability.

Koskela et al. [33] studied a mobile, location-based music recommendation service
in the restaurant context with 53 participants. The study assessed the technical feasibi-
lity of the system and general understanding of central usability factors of the service,
including ease of use, effectiveness and speed of using the service user interface.

**User Acceptance Findings.** The papers that fell in this category contained views to the user acceptance. In some cases, Technology Acceptance Model (TAM, [15]) was used as the reference model for the analysis and to construct Likert statements; in others the issue of acceptance was addressed more as a general term to describe how users perceive the system.

Arning et al. [3] studied a location-based indoor navigation system that uses pico projectors to display additional navigation information into the surroundings. In their laboratory study of 24 participants the pico projector based solution was compared to the mobile screen. The main findings related to UX are user acceptance factors such as visibility, trust, and disorientation. A major outcome of the study is a structural model of user acceptance of the compared ubiquitous display solutions.

In the study of Portet et al. [46], a smart home environment was developed and studied in a simulated home laboratory with 8 elderly people and their family members and caretakers. The specific features studied were the voice command UI, alert messages and a shared calendar. The results show that the voice UI was acceptable to the elderly, but they were worried about their privacy and potential decrease in activity caused by the automatisation of home.

**Scaled Ratings on Predetermined UX Aspects.** This subset of papers used one or more scaled questions to ask the participants to rate their subjective experiences of the evaluated ubicomp system. The scales were based on predetermined experiential aspects. Ratings provide summative information about the perceived system quality but do not allow analysis or understanding of the assumed or emerging experiences.

Ecker et al. [18] developed and studied a community- and location-based persuasive game for the car context with the goal to motivate and support behavioral change towards a fuel-saving driving style. In a field study with 37 people, the results regarding driving style showed the effectiveness of the approach. In the final questionnaire, a question on “joy of use” got the highest average score of 4.5 on the Likert scale from 1 to 5. The paper concludes that the users confirmed a very positive experience with the system.

Ankolekar et al. [2] studied the performance and emotional engagement of different types of audio-based cues for directing users' attention to specific points of interest (POI) in a city. In the field study evaluation, effectiveness and affect with five
types of cues were studied amongst the 15 participants. Experience sampling was used with a scale consisting of six pairs of words related to 3 dimensions of emotional response, namely pleasure, arousal and autonomy: Annoyed – Pleased; Bored – Engaged; Calm – Excited; Relaxed – Stimulated; Influenced – Influential; Guided – Autonomous. The comparison results show that musicos and mixed-modality cues create more pleasant and engaging user experience than other forms of cues.

**Individual User Comments or Observations.** In many studies, understanding UX itself is not the main aim of the user study but the focus is on assessing more specific aspects of the studied system. Thus, even if the paper addresses user experience, the results might contain individual findings or sporadic mentions related to how the users experienced or perceived the system.

Hoffman et al. [27] developed an in-car game that combines location-based information, AR and virtual characters. They studied how children’s and parents’ experiences could be supported by this game in a field study of six families (27 persons). One of the user comments with regards to UX was that capturing the game characters was fun, especially for the children. The paper concludes with key challenges for in-car game design for children.

In the first user study with SenseCam by Hodges et al. [26], a single participant suffering from amnesia was using the device in her real life, and it was compared to using a diary as a memory aid. The main result of this study is that the participant’s ability to remember things increased. With regards to UX, the researchers observed reduced anxiety and increased ability to relax when using SenseCam.

**Overall Summaries about UX.** In contrast to the previous UX finding type, the studies belonging to this category summarize the study findings by describing certain types of prevalent experiences users have with the system. Still, these experiences are not necessarily in the core of the presentation of the findings but complement the more pragmatic and technical findings.

In their study of an interactive theatre experience for the blind and sighted, van der Linden et al. [36] had 96 participants explore the theatre space blindfolded, enhanced with a haptic mobile device. In regard to UX, they conclude that the participants’ responses to the overall immersive experience were very positive, for example related to surprises while interacting in the space. The paper presents findings also related to the haptic device and arm gestures used while moving around in the space.

Holmquist et al. [28] studied Hummingbird, a location-aware system to support awareness and collaboration between people who are in the physical vicinity of each other. Based on their field studies in the office, rock festival and conference, the conclusion was that users did not find Hummingbird immediately as compelling to use in the familiar setting as in the unfamiliar settings. The summarized user experiences include the feelings of connection and comfort from others being around.

**Description of Several UX Types.** Papers in this category address several specific user experience types systematically or in detail. In the reviewed papers none of the
studies provided a very broad set of such experience type descriptions but the level of
detail in the description of the selected ones is much higher than in the categories
discussed above.

In their study of a persuasive, sensor-based bin can, Comber and Thieme [12] had
22 participants use the system for five weeks. Their findings point out several experi-
ence related areas, including self-consciousness by awareness raising and aversive
feelings of guilt or shame based on the social influence arising from the system use.

Persson et al. [45] studied DigiDress, a mobile system for proximity-based social interaction in a long-term (avg. 25 days) field trial with 619 participants in the corporate office environment. The lookaround feature to identify nearby users was the most valued aspect of the system. The found experiences included fun, liveliness and social play, which all relate to the increased social awareness and interaction.

**Summary.** Overall, the papers found relevant in our review contained less detailed UX findings than what we originally expected. Only 4 of the 75 papers were at a level of description of the subjective user experiences that foster deep understanding of how the ubicomp systems are experienced. Most user studies in this sample are limited to more pragmatic or "lighter" forms of UX results. Such information can help assessing important aspects like the specific user interface design or measuring acceptance but they may not help in concepting and designing desirable ubicomp systems. To formulate meaningful experiential design targets for ubicomp, we argue that there is a need for more thorough and fine-grained understanding of the types of experiences and how different technology features and design solutions can enable them.

# 5 Discussion

The presented systematic literature review aimed at revealing the status of what kind
of empirical UX studies have been conducted within ubicomp research, as well as the
kinds of user experience findings these studies repor. Based on our findings it can be
concluded that the subjective user experiences have been investigated in rather light-
weight ways in the vast majority of ubicomp research projects. UX is an evolving
concept and it has often been seen to relate to any form of user data or feedback. Whi-
le general understanding of user responses and practices can be useful, we argue there
is a need for more detailed understanding of UX. Thus, we have investigated UX
from a viewpoint that addresses specific user experiences that go beyond the traditio-
nal pragmatic qualities of the system such as usability or usage patterns.

With regard to the user study approaches and methods, field studies have clearly
been the most often used approach. Qualitative data gathering, especially interviews,
has been a prominent approach in the ubicomp UX studies. Still, many studies have
employed simple scales for summative evaluation based on narrow sets of experienti-
al aspects, such as fun or sense of privacy. Furthermore, using convenience samples
(often students or any accessible people) has been quite common. We propose that
qualitative, open-ended methods are applied to gain understanding of the experiences
of the developed ubicomp systems. The aim should be to understand the reasons for
both positive and negative experiences, and ways to enable the desirable ones. These user studies should ideally be conducted with real target users, in the real contexts of use and in long-term use. These approaches will increase the ecological validity of the UX findings, and will enable transfer of the findings to the design of further, similar ubicomp systems.

The focus in this study was on the experiential aspects beyond basic usability factors, including the subjective and hedonic aspects, such as pleasure, self-expression, discovery, social connectedness, empowerment, awareness and engagement. User experiences like this have been envisioned to be probable results of the use of ubicomp systems by early visionary papers like [47, 54]. We were surprised to find very little systematic, in-depth analyses of such experiences. In many studies there are interesting findings about usage practices and design choice preferences, and these findings can be used for gaining insights of system use and needs for redesign. Still, such findings do not reveal insights to actual subjective experiences. Instead, the majority of the UX findings mention only individual, general experiences – such as fun or trust – or overall summary statements about user judgements of the system. In addition, even though we excluded mere usability studies from our selection criteria, some studies addressed usability issues, termed as UX. This illustrates the fact that the term UX is still used very loosely and often seems to refer to any form of user feedback about the system. Many systems in ubicomp are still in rather immature stage and the user evaluations bring up technical challenges, leading to unavoidable usability problems – even when the intended focus of the study would initially have been in UX. Having said that, even many of the qualitative studies seem not to have aimed at digging deep into the detailed experiences with the systems.

Then why should we gain more in-depth UX understanding for ubicomp systems? Ubicomp is maturing as a field of technology, and products and services are starting to enter the market. Human-centered design and the resulting pleasurable user experiences are becoming important competitive factors in the services offered by ubicomp systems. Designers of these systems and services can benefit from insights of the kinds of target experiences that the systems should support. The paradigmatic changes that ubicomp has to do with (e.g., implicit interaction, context awareness, proactivity and engagement [1, 47]) could allow types of user experiences that cannot be reached with other types of systems. This experience design potential deserves to be explored.

It is interesting to compare the number of papers that were relevant (75) to our review criteria (ubicomp technology + empirical user study + user experience) with all surveyed ubicomp literature. The fact that so little ubicomp literature deals with subjective, detailed aspects of UX may be because ubicomp comes largely from groups with strong technology and engineering backgrounds. Only recently have ubicomp systems started to reach such technical maturity level that it is feasible to evaluate the systems in real contexts of use, with real users. We hope that in the coming years we will see an increasing number of studies focusing on detailed understanding of a variety of UX aspects. All in all, a continuing dialogue between HCI/UX and ubicomp communities is needed to reach the ubicomp visions in the most desirable and appropriate way. For example, the HCI/UX community should provide methodologies, such as advanced simulations, to better suit the development challenges in ubicomp.
Regarding the validity of this research, literature reviews face inherent challenges regarding the coverage. Because of the keyword and database selection in this broad field, some relevant papers have probably been missed. For example, papers discussing phenomena related to UX but not with that specific term may have been left out (e.g. related to affective interaction or novel, embedded systems). Furthermore, we focused on ACM, IEEE, etc. because of their technical ubicomp relevance, and thus it is possible that we left out some relevant social science research focusing on ubicomp systems. After conducting the systematic literature review, we found some further ubicomp studies (such as [9, 6, 22]) which would have been relevant but were not found by the review because the keywords were not present in the title or abstract. We thus acknowledge that, due to limitations of keyword-based systematic searches, our literature sample omits some relevant papers in the field.

Despite the inevitable coverage challenges, we believe that the identified issues on the user study and UX finding types are sufficiently well covered to form the “big picture” of UX in research of ubicomp systems. The findings indicate trends and gaps in the research approaches that we believe that both the ubicomp and UX fields can agree with, and hence the results point out important steps towards the next, more human-centered and successful era of ubicomp research and product development.

# 6 Towards a Framework for Design and Evaluation of UX in Ubicomp Systems

The findings from our literature survey revealed a need for detailed understanding of user experiences when designing ubicomp systems. To theorize our findings, in Figure 2 we propose an initial framework for how ubicomp design and evaluation could be conducted with a specific emphasis on user experience. It describes how specific experiences could serve as starting points and be matched with ubicomp technologies to drive design and evaluation of successful, human-centered systems.

An **experience category**, such as *relatedness*, can be manifested by specific experiences (X) such as social *connectedness*, *intimacy* and *nurture*. Experience categories can set design goals or targets for the design and evaluation of ubicomp system.

A **designable feature**, such as proximity view or camera surveillance, is a type of functionality which is enabled or implemented by the selected **ubicomp technologies**. Designable features should support the design goals set by the targeted experience types. The features then form the basis for the ubicomp system design.

The following examples from our data set illustrate the elements of the framework. In the study by Chi et al. [11], a cooking assistant system was built with the aim to increase the experience of *self-awareness* of the user's processes and habits. The developed system supported this by *instant feedback of own actions*, enabled by an *awareness display* in the cooking space. Coulton et al. [14] studied a mobile outdoors game with kids and their parents. The resulting experiences were mainly about *stimulation*, and they included *fun*, *discovery* and *creativity*. The central feature of the system was a *competition to create “monsters”*, and this feature was enabled by *mobile augmented reality*.
<figure><img src="image_3.png" /><figcaption>**Fig. 2.** An initial design and evaluation framework for user experience in ubicomp systems.</figcaption></figure>

We envision that this framework can be used and developed further in the following ways.

**Experience-driven design.** In the beginning of the design process, the designer of a ubicomp system can define target user experiences based on user needs studies or experience frameworks in literature. One or several related experiences are set as design goals. The designer then chooses and designs the features and enabling technologies to fit those targets. This approach is along the lines of supporting users' feelings as in Kansei engineering [42] as well as in more recent proposals of experience-driven design [25, 37, 44].

To this end, the framework needs to be developed further by populating the experience categories with rich descriptions of a large set of experiences based on user studies of existing ubicomp systems and prototypes. The relationships between designable factors and features that affect UX in different ways need to be established. A recent example of a related framework on user experience of augmented reality is presented in [43]. In addition, further aspects affecting ubicomp UX such as relevant aesthetic and interaction design principles should be linked to the design process.

**Experience evaluation.** To understand how well the system enables the experience goals and what are its experiential facets in the overall system quality, the developed ubicomp system should be evaluated against the experience targets. By evaluating the system both quantitatively and qualitatively, deep understanding of the experiential qualities of the system can be formed. Such understanding will support the further development of the system.

To this end, the framework needs to be developed to include operationalized, quantifiable evaluation metrics for the specific target experiences. Also actionable and lightweight techniques to elicit qualitative experience feedback from the end users are needed.
The proposed framework can help in gaining elaborate understanding of ubicomp
user experiences and focusing on them systematically through the design process.
Eventually, the framework can contribute to both empirical research as well as to the
development of successful ubicomp systems.

**Acknowledgements.** We thank Jari Laaksonen for conducting the article database queries.

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